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Were the measurement instruments reliable and valid? Why or why not?

Instructions: Carefully read, summarize, and appraise your group’s assigned article.  The discussion board for this week should cover the following concepts in order to have a complete draft by the end of the week. Apply the concepts discussed in the lecture and the readings.  As you provide input to your peers, be sure to state a rationale for your claims. 

Identify and discuss the following:

dependent variable(s) and the instrument(s) used to measure them.

how the data for the dependent variable(s) were collected.

the intervention and procedures for delivering it.

the key results for the study, including any p-values, reported.

the conclusions the researchers drew.

Appraise and debate the quality of the data collection methods and determine whether the conclusions of the study were supported by the statistical results.  Consider the following questions:

Were the measurement instruments reliable and valid?  Why or why not? 

Was treatment fidelity for the intervention ensured?  Why or why not?

Were the conclusions of the study were supported by the statistical results, as indicated by the variable values and the p-values if reported?

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Writers Solution

Identify the type of data and measurement scale for each with relevant justifications.

Statistics for Business Decisions
Assessment Weight: 50 total marks
Instructions:
All questions must be answered by using the answer boxes provided in this paper.
Completed answers must be submitted to Blackboard by the published due date and time.
Submission instructions are at the end of this paper.
Purpose:
This assessment consists of six (6) questions and is designed to assess your level of knowledge of the key topics covered in this unit

Question 1 ( 7 marks)
Holmes institute Students evaluation of the course they follow, askes following questions from students. Identify the type of data and measurement scale for each with relevant justifications.
How many interactive tutorials did you attend in this semester?
What was your group assignment grade (HD, D, C, P, F)?
Rate the lecturer (very effective, effective, not too effective and not at all effective)
Which campus you are registered in (Melbourne, Sydney, Brisbane or Gold coast)
(2 marks)
ANSWER: ** Answer box will enlarge as you type
An investor recorded the following annual returns of one of his investments. You are required to calculate and comment on;
Mean return.
Variance and standard deviation of the return.
Geometric return.
Year 2016 2017 2018 2019 2020
Return 15% 17% 19% 10% -5%
(5 marks)
ANSWER: ** Answer box will enlarge as you type
Question 2 (11 marks)
Nature lovers’ association of Australia, launched a campaign to encourage paper less communication and/or recycling of used papers to save the trees to reduce global warming. Hence, many small businesses have scaled up their business such as new forms of online document exchanges and collecting used papers and cardboards from households and companies.
Abita Recycling Ltd is one such company which is operates in Melbourne. The financial analysist of the company has estimated that the firm would make a profit if the mean weekly collection of papers and cardboards from each household exceeded 1KG. To examine the feasibility of a recycling plant, a random sample of 100 households was selected and sample mean and standard deviations are 1.1KG and 0.35KG respectively.
Following the 6-step process of hypothesis testing, you are required to examine do this information provide sufficient evidence at 99% confidence to allow the analyst to conclude that a recycling plant would be profitable?
ANSWER:
Question 3 (11 marks)
Edex limited is a renowned agricultural chemical manufacturer in Australia. They conduct many research and development in the field of Agri and Horticulture. Company wanted to examine the effect of temperature on farming of their selected range of products.
Company has produced following results based on their data gathering.
15° C 35 24 36 39 32
25° C 30 31 34 23 27
35° C 23 28 28 30 31
You are required to answer following questions;
State the null and alternative hypothesis for single factor ANOVA to test for any significant difference in the perception among three groups. (1 marks)
ANSWER:
State the decision rule at 5% significance level. (2 marks)
ANSWER:
Calculate the test statistic. (6 marks)
ANSWER:
Based on the calculated test statistics, decide whether there are any significant differences between the yield based on the given temperature levels. (2 marks)
ANSWER:
Note: No excel ANOVA output allowed in question3. Students need to show all the steps in calculations.
Question 4 (7 marks)
Melbourne Uni Lodge has decided to provide cup of cold or hot drinks for their tenants to attract them after the Covid pandemic. They have determined that mean number of cups of drinks per day is 2.00 with the standard deviation of 0.6. There will be 125 new tenants in the upcoming months.
What is the probability that the new tenants will consume more than 240 cups of drinks per day?
ANSWER:
Question 5 (7 marks)
Yummy Lunch Restaurant needs to decide the most profitable location for their business expansion. Marketing manager plans to use a multiple regression model to achieve their target. His model considers yearly revenue as the dependent variable. He found that number of people within 2KM (People), Mean household income(income), no of competitors and price as explanatory variables of company yearly revenue.
The following is the descriptive statistics and regression output from Excel.
Revenue People Income Competitors Price
Mean 343965.68 5970.26 41522.96 2.8 5.68
Standard Error 5307.89863 139.0845281 582.1376385 0.142857 0.051030203
Median 345166.5 6032 41339.5 3 5.75
Mode #N/A 5917 #N/A 3 6
Standard Deviation 37532.51115 983.47613 4116.334718 1.010153 0.360838027
Sample Variance 1408689393 967225.2984 16944211.51 1.020408 0.130204082
Sum 17198284 298513 2076148 140 284
Count 50 50 50 50 50
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.77
R Square A
Adjusted R Square B
Standard Error 25139.79
Observations 50.00
ANOVA
df SS MS F Significance F
Regression C 40585376295 F H 3.0831E-08
Residual D 28440403984 G
Total E 69025780279
Coefficients Standard Error t Stat P-value
Intercept -68363.1524 78524.7251 -0.8706 0.3886
People 6.4394 3.7051 I 0.0891
Income 7.2723 0.9358 J 0.0000
Competitors -6709.4320 3818.5426 K 0.0857
Price 15968.7648 10219.0263 L 0.1251
You are required to;
Complete the missing entries from A to L in this output (2 marks)
ANSWER:
Derive the regression model (1 mark)
ANSWER:
What does the standard error of estimate tell you about the model? (1 mark)
ANSWER:
Assess the independent variables significance at 5% level (develop hypothesis if necessary in the analysis)? (3 marks)
ANSWER:
Question 6 (7 marks)
Anita Limited has shared their annual sales revenue over the last 6 financial years from 2015 to 2020.
Year Sales ($ 000)
2015 4500
2016 5100
2017 4900
2018 5400
2019 5670
2020 6000
You are required to;
Using linear trend equation forecast the sales revenue of Anita Limited for 2021. (5 marks)
ANSWER:
Calculate the forecasted sales difference if you use 3-period weighted moving average designed with the following weights: 2018 (0.1), 2019 (0.3) and 2020(0.6). (2 marks)
ANSWER:
Note: See the formula sheet on the next page.
FORMULA SHEET
K = 1 + 3.3 log10 n
Summary Measures (n – sample size; N – Population size)
µ= (?(i=1)^N¦X_i )/N X ¯= (?(i=1)^n¦X_i )/n p ^= X/n
s^2= 1/(n-1) ?(i=1)^n¦(x_i-x ¯ )^2 Or s^2= 1/(n-1) [(?(i=1)^n¦x_i^2 )-nx ¯^2 ]
Or s^2= 1/(n-1) [(?(i=1)^n¦x_i^2 )-(?(i=1)^n¦x_i )^2/n]
s^2= 1/N ?(i=1)^N¦(x_i-µ)^2 Or s^2= 1/N [(?(i=1)^N¦x_i^2 )-nµ^2 ]
s~Range/4 CV=s/µ cv=s/x ¯
Location of the pth percentile:
L_(p= p/100(n+1))
IQR = Q3 – Q1
Expected value of a discrete random variable
E(x)=µ=?¦?x*f(x)?
Variance of a discrete random variable
Var(x)=?¦(x-µ)^2 f(x)
Z and t formulas:
Z=(x-µ)/s Z=(x ¯-µ)/(s/vn) Z=(p ^-p)/v(pq/n) t=(x ¯-µ)/(s/vn)
Confidence intervals
Mean:
x ¯±t_(a/2) s/vn
Proportion:
p ^ ± z_(a/2) v((p ^ q ^)/n)
n= (z_(a/2)^2 p q)/B^2
Time Series Regression
b_1= (?(t=1)^n¦[(t- ¯t)(y_t- ¯y)] )/(?(t=1)^n¦(t- ¯t)^2 )
b_0= ¯Y- b_1 ¯t
T_t= b_0+ b_1 t
ANOVA:
SSE= ?(j=1)^k¦?(n_j-1) ?s_j?^2 ? Simple Linear Regression: SSE = ?¦(y_i-y ^_i )^2 SST = ?¦(y_i-y ¯ )^2 SSR= ?¦(y ^_i-y ¯ )^2 Coefficient of determination Correlation coefficient r= (?¦(x- x ¯ )(y- ¯y) )/v((?¦(x- ¯x)^2 )(?¦(y- ¯y)^2 ) ) or r= (?¦XY- (?¦?X ?¦Y?)/N)/v((?¦X^2 – (?¦X)^2/N)(?¦Y^2 – (?¦Y)^2/N) ) R2 =(?r(xy ))?^2
Testing for Significance
Confidence Interval for ß1
b_1±t_(a/2) s_(b_1 )
Multiple Regression:
F distribution
Submission Directions:
The assignment will be submitted via Blackboard. Each student will be permitted only ONE submission to Blackboard. You need to ensure that the document submitted is the correct one.
Academic Integrity
Holmes Institute is committed to ensuring and upholding Academic Integrity, as Academic Integrity is integral to maintaining academic quality and the reputation of Holmes’ graduates. Accordingly, all assessment tasks need to comply with academic integrity guidelines. Table 1 identifies the six categories of Academic Integrity breaches. If you have any questions about Academic Integrity issues related to your assessment tasks, please consult your lecturer or tutor for relevant referencing guidelines and support resources. Many of these resources can also be found through the Study Skills link on Blackboard.
Academic Integrity breaches are a serious offence punishable by penalties that may range from deduction of marks, failure of the assessment task or unit involved, suspension of course enrolment, or cancellation of course enrolment.
Table 1: Six categories of Academic Integrity breaches
Plagiarism Reproducing the work of someone else without attribution. When a student submits their own work on multiple occasions this is known as self-plagiarism.
Collusion Working with one or more other individuals to complete an assignment, in a way that is not authorised.
Copying Reproducing and submitting the work of another student, with or without their knowledge. If a student fails to take reasonable precautions to prevent their own original work from being copied, this may also be considered an offence.
Impersonation Falsely presenting oneself, or engaging someone else to present as oneself, in an in-person examination.
Contract cheating Contracting a third party to complete an assessment task, generally in exchange for money or other manner of payment.
Data fabrication and falsification Manipulating or inventing data with the intent of supporting false conclusions, including manipulating images.
Source: INQAAHE, 2020
If any words or ideas used the assignment submission do not represent your original words or ideas, you must cite all relevant sources and make clear the extent to which such sources were used.
In addition, written assignments that are similar or identical to those of another student is also a violation of the Holmes Institute’s Academic Conduct and Integrity policy. The consequence for a violation of this policy can incur a range of penalties varying from a 50% penalty through suspension of enrolment. The penalty would be dependent on the extent of academic misconduct and your history of academic misconduct issues.
All assessments will be automatically submitted to Self-Assign to assess their originality.
Further Information:
For further information and additional learning resources please refer to your Discussion Board for the unit.
END OF TUTORIAL ASSIGNMENT
Submission instructions:
Save submission with your STUDENT ID NUMBER and UNIT CODE e.g. EMV54897 HI6007
Submission must be in MICROSOFT WORD FORMAT ONLY
Upload your submission to the appropriate link on Blackboard
Only one submission is accepted. Please ensure your submission is the correct document.
All submissions are automatically passed through SafeAssign to assess academic integrity

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Writers Solution

What is the meaning of “measurement”? What are you finding out when you measure something?

ppt/presentation.xml

ppt/slideMasters/slideMaster1.xml

Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level ‹#›

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1. MEASUREMENTS, CONVERSIONS, AND MANIPULATIONS NAME : . SECTION : PARTNER(S): DATE:

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2. Pre-Lab Query: What is the meaning of “measurement”? What are you finding out when you measure something?        

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3. Pre-Lab Query: How could you measure the dimensions of a sheet of notebook paper? Be specific

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4. Some Practical Measurements

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{5C22544A-7EE6-4342-B048-85BDC9FD1C3A} 5. Match each measurement with its most probable qualifier/description: 80 gallons 2. 250mg/dL 22inches 4. 1200 calories 5. 16 ounces 6. 9 teaspoons 7. 130/85 mmHg 8. 10 feet probably diabetic b. a nice steak c. sugar in a can of soda d. height of an NBA basketball rim e. a tub of water f. a slice of pineapple upside down cheesecake g. a big foot h. probably hypertensive

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6. Procedure: Let’s explore some simple measurements and measuring devices. When you record any measurement be sure to include the units! If you are doing 80 on the beltway, are you in trouble? If it’s 80 kilometers per hour the answer is no; however, if it’s 80 miles per hour there could be flashing red lights!

ppt/slides/slide7.xml

7. Matter and energy have so many attributes that we cannot qualify or quantitate/measure them all. Daily we discover new attributes . For example, we can quantitate/measure a) height— 6 feet b) blood sugar— 4.8 mmol/L c) weight— 150 pounds d) blood pressure— 116/75 mmHg e) vision— 20ft/200ft Likewise, we can qualify those attributes. For example, a person—a type of matter– can be/have a) tall b) nondiabetic c) heavy/thin/normal weight depending on height. d) non-hypertensive e) poor vision/legally blind

ppt/slides/slide8.xml

8. What does it mean to make/take a measurement When you take a measurement you quantitate/determine how much of a property/characteristic/aspect/attribute of matter or energy is present. Some examples of measurable aspects of matter and energy: a person’s blood pressure the concentration of heat (temperature) in a person the height of a person the quantity of electricity a household uses in a month the volume of gasoline a car takes the speed of a car

ppt/slides/slide9.xml

9. What is the difference between qualifying and quantifying/quantitating matter or energy? Qualifying: Quantitating/quantifying:

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10. What are the two parts of a measurement?

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11. What is a unit? What information does a unit give us?

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12. submit What is the smallest graduation/calibration mark on the upper ruler shown above? there are no graduations 1 decimeter 1dm 0.1dm 0.1m What is the smallest graduation/calibration mark on the lower ruler above? there are no graduations 1 decimeter 1dm 0.1dm 0.1m

ppt/slides/slide13.xml

13. In your own words define the term(s) “calibration marks/graduations”.

ppt/slides/slide14.xml

14. Perhaps you have a meter stick at home. If not, spend some time Googling to become familiar with what a meter is. Below are a series of units that are fractions of a meter and appear on the meter stick. You will notice that the sizes are indicated by means of a prefix in front of the base unit (meter). Complete the following table using these units. submit {5C22544A-7EE6-4342-B048-85BDC9FD1C3A} Portion of a Meter decimal Scientific notation fraction percentage word mm cm dm

ppt/slides/slide15.xml

15. Contemplation question: What is meant by “a count is exact; a measurement is not exact.”

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16. Count the number of worms in the picture below? Answer: There are exactly 6 worms.

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17. How to properly record a measurement: In any visual measurement you are allowed all the digits you are certain about (that is, you can be sure of from the markings) plus one digit that is an estimate. The last digit you write in any measurement (visual or digital) is a reasonable guess; you must be certain of the next to last digit

ppt/slides/slide18.xml

18. Measure each worm using the nearest ruler submit {5C22544A-7EE6-4342-B048-85BDC9FD1C3A} Ruler Calibration on stick Reading in the units on the stick Conversion to Meters 1 (upper) 1dm 2 (middle) 1cm 3 (lower) 1mm A measurement of .35 could not be made with the upper ruler. Why not? A measurement of .0325 could not be made with the lower ruler. Why not?

ppt/slides/slide19.xml

19. Measure each worm using the nearest ruler After reading the following comments determine whether or not you made your measurements correctly. If not, make the appropriate corrections to your technique. To make a measurement, the tip of the worm is placed at the zero of the ruler. The top ruler has no graduations. After the zero, the middle ruler has ten equally scaled graduations; the lower ruler has 100 equally scaled graduations. With the upper ruler, 0.3dm, 0.4dm, 0.5dm would be acceptable measurements—each is correct. With the middle ruler, acceptable measurements are 0.31dm, 0.32dm, 0.33dm With the lower ruler, acceptable measurements are 0.325dm, 0.326dm, 0.328dm, 0.329dm

ppt/slides/slide20.xml

20. Measure each worm using the nearest ruler Submit A measurement of .35 could not be made with the upper ruler. Why not? A measurement of .0325 could not be made with the lower ruler. Why not?

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21. Details of measurements Precision has to do with refinement/detail in a measurement. The more detail a measurement gives, the more precise it is. Some measuring devices placed in order of decreasing precision are a meter stick with mm graduations > a meter stick with cm graduations >a meter stick with dm graduations > a meter stick with no graduations. A visual measurement is one you make using graduations as your guide. A digital measurement is a readout given by an instrument/machine.

ppt/slides/slide22.xml

22. Determine the diameters in mm of the pennies shown below. Convert them to centimeters, decimeters, and meters. submit {5C22544A-7EE6-4342-B048-85BDC9FD1C3A} Diameter: mm cm dm m Penny A Penny B Penny C Penny D Penny E

ppt/slides/slide23.xml

23. Determine diameters in mm of the pennies shown below. Convert them to centimeters, decimeters, and meters. submit {5C22544A-7EE6-4342-B048-85BDC9FD1C3A} Thickness: mm cm dm m Penny A Penny B Penny C Penny D Penny E

ppt/slides/slide24.xml

24. Using the data you collected above, calculate the average diameter, the average radius, and the average thickness (height) of a penny. Show your work. submit {5C22544A-7EE6-4342-B048-85BDC9FD1C3A} mm cm dm m average diameter average radius average thickness

ppt/slides/slide25.xml

25. Using the geometric formula for the volume of a cylinder ( π r 2 h), the average radius, and the average thickness (height), calculate the volume of a penny. submit {5C22544A-7EE6-4342-B048-85BDC9FD1C3A} Show your calculations for the average volume of a penny, based on the average diameters and thicknesses of pennies A, B, C, D, and E. mm 3 cm 3 dm 3 m 3

ppt/slides/slide26.xml

26. Reading volume

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27. How many decimal places? submit Look carefully at the markings on a 10mL graduated cylinder. Referring back to your experience with the rulers, how many decimal places will this measuring device provide a) if the bottom of the meniscus is directly on an integer line (such as 5, 6 or 7). b) if the bottom of the meniscus is directly on a non-integer line? c) if the bottom of the meniscus is between two lines. (Remember you are allowed one estimated place beyond what you are sure of from the markings.)

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28. How many pennies? submit

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29. How many pennies? submit

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30. How many pennies? submit

ppt/slides/slide31.xml

{5C22544A-7EE6-4342-B048-85BDC9FD1C3A} 31. Data Table submit Mass (grams) Erlenmeyer flask Charcoal

ppt/slides/slide32.xml

32. Substances A, B, C, D, and E have the characteristics listed in the table below. The possible identities of A, B,C, D, and E are Zinc iron, aluminum, copper, and cork, densities (g/cm 3 which is the same as g//mL): 7.140, 7.86, 2.71, 8.96, and 0.24, respectively. Using the data given outline a method for identifying these substances, then identify them. submit {5C22544A-7EE6-4342-B048-85BDC9FD1C3A} Diameter (cm) Height (cm) hardness magnetic color Identifying factor ? A 2.821 0.80 hard magnetic silver B 4.26 0.3500 compressible non brown C 1.875 1.810 hard non silver D 2.58 0.96 hard non silver E 1.7088 2.18 hard non gold

ppt/slides/slide33.xml

33. Identify the following rocks/minerals according to their densities: periodite (3.4g/cm 3 ), pumice (0.641g/cm 3 ), pyrite (5.02g/cm 3 ), shale (2.45g/cm 3 ), slate (2.74g/cm 3 ). Enter your data and results on the next slide

ppt/slides/slide34.xml

34. Identify the following rocks/minerals according to their densities: periodite (3.4g/cm 3 ), pumice (0.641g/cm 3 ), pyrite (5.02g/cm 3 ), shale (2.45g/cm 3 ), slate (2.74g/cm 3 ). Extract your data from the information given on the previous slide; enter it and your results (show all calculations) in the table below. submit {5C22544A-7EE6-4342-B048-85BDC9FD1C3A} F G H I J Mass Final volume Initial volume density identity

ppt/slides/slide35.xml

35. Some Important terms The volumes of the rocks were measured by “ water displacement ”. Density is an intensive property , meaning it is a characteristic that does not depend on mass. Both volume and mass are extensive properties , because they depend on the amount of material.

ppt/slides/slide36.xml

36.

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37. Match each mixture of the compound in the left column with water, to the correct test tube (1,2,or 3) from the previous slide {5C22544A-7EE6-4342-B048-85BDC9FD1C3A} Water soluble Density (g/mL) Test tube when mixed with water (1, 2, or 3) CCl 4 No 1.587 C 2 H 6 O Yes 0.789 C 6 H 14 No 0.659 water XXXX 1g/mL XXXX

ppt/slides/slide38.xml

38. Certain vs Uncertain portions of measurements The certain portion of a visual measurement is the portion you read without guesswork. The uncertain portion of a measurement is the portion you guess (it is the rightmost number in a digital measurement). Together, the certain and uncertain portions of a measurement are significant .

ppt/slides/slide39.xml

39. How to treat zeros in measurements 10) When evaluating a measurement, use the following rules to determine whether or not zeros are significant: Preceding zeros are not significant e.g., 00.000345 has only 3 significant figures: 345. The zeros are space fillers aka space holders . Sandwiched zeros are significant e.g., .345000678 has 9 significant figures. Trailing zeros that occupy decimal places are significant .345000 has six significant figures. Trailing zeros that are digits are significant only if they are followed by a decimal point e.g., 1,000m is a measurement with one significant figure (the zeros are space fillers ); whereas, 1,000.m is measurement with 4 significant figures. 11) When putting measurements into scientific notation only significant figures are used. Example: 450 = 4.5*10 2 ; whereas, 450. = 4.50*10 2 and 450.0 = 4.500*10 2

ppt/slides/slide40.xml

40. Performing operations with measurements: a. When rounding off numbers begin with the digit or decimal to the right of the digit you’re rounding to. If this digit (the one to the right) is 5 or greater round up, otherwise the number remains the same e.g., rounding 1.2345 to two decimal places: a) start with the 4 in the thousandths place. It is less than 5; therefore, the number rounds off to 1.23. The number 1.2367 would round off to 1.24. For multiple step calculations, it is best to complete all steps before rounding off.   b. When adding or subtracting measurements, the answer (sum or difference) will only be as precise as the addend or subtrahend with the least precision i.e., the answer will have only as many decimal places as the measurement with the fewest decimal places.   c. When multiplying or dividing measurements, the answer (product or quotient) will have only as many significant figures as the measurement with the least number of significant figures.   d. When performing an operation, a number that is a count/exact number or a definition is ignored when determining the number of significant figures in the answer.   32.789 miles * 1.61 kilometer mile   The definition 1.61km/mile although it is used in making the calculation, is not used in determining the number of significant figures i.e., the answer (52.790 km) has five significant figures.

ppt/slides/slide41.xml

41. Standards A standard is a reference ; it can be a measuring device or an object or substance used for comparison. The National Bureau of Standards maintains standard weights and measures for the country.   Copies of standard devices are made and used throughout the nation/world; these copies can be good or bad. The accuracy of a measuring device (and any measurements made with it) is its agreement with a standard measuring device. If the measuring device is a good copy of the standard, the measurements made with it will be accurate. If the measuring device is a poor copy of the standard, measurements made with it will be inaccurate. An error in accuracy is called a “built in” or systematic error . Prior to making measurements, inaccuracies in instruments should be corrected; this process is called standardization or calibration .

ppt/slides/slide42.xml

42. Measure each worm using the nearest ruler. Submit {5C22544A-7EE6-4342-B048-85BDC9FD1C3A} Ruler Calibration on stick Reading in the units on the stick Conversion to Meters Standard mm 2 dm 3 Cm 4 mm

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43. Error submit Which ruler(s) agree(s) with the standard ruler? Which ruler(s) give(s) inaccurate measure? Which ruler(s) has/have built in error?

ppt/slides/slide44.xml

44. More about Error When making measurements, error is always a factor. Error can arise from many sources such as inaccurate measuring devices (systematic errors), human error e.g., misreading a device, massing a cold substance (masses of cold objects tend to be inflated), massing a hot substance (masses of hot objects tend to be deflated), leaving the balance windows open (wind currents change the masses), using contaminated materials, etc. Several methods exist for quantifying or indicating how much error is in a measurement.

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45. Above, on one edge, there is a simulation of a one-foot ruler calibrated in English units of inches. The other edge is a metric ruler. Use them to answer the questions below. No textbooks allowed! Explain how you get your answers . submit How many millimeters (mm) are in an inch (in or “)? How many centimeters (cm) are in an inch (in or “)? How many inches (in or “) are in a decimeters(dm)? How many millimeters (mm) are in a foot (ft or ‘)? How many centimeters (cm) are in a foot (ft or ‘)? How many decimeters(dm) are in a foot (ft or ‘)?

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46. Other Types of measurements Length is a type of measurement; it is a 1-dimensional assessment of how long an object is. Some common English units of length: inch, foot, yard, mile. The basic metric unit of length is the meter. the length of the average adult human arm is approximately one meter.   Useful length Conversion factors: 12 inches = 1 foot, 3 feet = 1 yard, 5,280 feet = 1 mile, 1 inch = 2.54 cm, 1.61 km = 1 mile, 39.370 inches = 1 m, 1 m = 1.0936 yards.  Perimeter : a measurement of the distance around an object. Circumference: a measurement of the perimeter of a circle = 2 π r   Area : 2 dimensional (the amount of two-dimensional space the surface of an object occupies), units = length 2 . General geometric formula for area: L*W*geometric shape factor. Some useful area formulas: square: s 2 rectangle L*W circle π r 2 triangle 1/2bh

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47. Post Lab Questions submit Be sure to show all calculations. List any sources of error in your measurements.   How many pennies (using the average diameter used in lab) would you need to form a line of pennies between the College and the US Air Arena, a distance of 1.4 miles?

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What is the smallest Graduation/calibration mark on Ruler A? housernr Grace Aloba 397 2005-09-01T14:56:58Z 2021-05-26T19:11:05Z

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11625 3222 Microsoft Office PowerPoint On-screen Show (4:3) 368 47 18 0 0 false Fonts Used 2 Theme 1 Embedded OLE Servers 1 Slide Titles 47 Arial Calibri Default Design ChemSketch 1. MEASUREMENTS, CONVERSIONS, AND MANIPULATIONS PowerPoint Presentation PowerPoint Presentation 4. Some Practical Measurements PowerPoint Presentation PowerPoint Presentation PowerPoint Presentation 8. What does it mean to make/take a measurement 9. What is the difference between qualifying and quantifying/quantitating matter or energy? 10. What are the two parts of a measurement? 11. What is a unit? What information does a unit give us? 13. In your own words define the term(s) “calibration marks/graduations”. 14. Perhaps you have a meter stick at home. If not, spend some time Googling to become familiar with what a meter is. Below are a series of units that are fractions of a meter and appear on the meter stick. You will notice that the sizes are indicated by means of a prefix in front of the base unit (meter). Complete the following table using these units. submit 15. Contemplation question: 16. Count the number of worms in the picture below? 17. How to properly record a measurement: 18. Measure each worm using the nearest ruler submit 19. Measure each worm using the nearest ruler After reading the following comments determine whether or not you made your measurements correctly. If not, make the appropriate corrections to your technique. 20. Measure each worm using the nearest ruler Submit 21. Details of measurements 22. Determine the diameters in mm of the pennies shown below. Convert them to centimeters, decimeters, and meters. submit 23. Determine diameters in mm of the pennies shown below. Convert them to centimeters, decimeters, and meters. submit 24. Using the data you collected above, calculate the average diameter, the average radius, and the average thickness (height) of a penny. Show your work. submit 25. Using the geometric formula for the volume of a cylinder (πr2h), the average radius, and the average thickness (height), calculate the volume of a penny. submit 26. Reading volume 27. How many decimal places? submit 28. How many pennies? submit 29. How many pennies? submit 30. How many pennies?submit PowerPoint Presentation 32. Substances A, B, C, D, and E have the characteristics listed in the table below. The possible identities of A, B,C, D, and E are Zinc iron, aluminum, copper, and cork, densities (g/cm3 which is the same as g//mL): 7.140, 7.86, 2.71, 8.96, and 0.24, respectively. Using the data given outline a method for identifying these substances, then identify them. submit 33. Identify the following rocks/minerals according to their densities: periodite (3.4g/cm3), pumice (0.641g/cm3), pyrite (5.02g/cm3), shale (2.45g/cm3), slate (2.74g/cm3). Enter your data and results on the next slide 34. Identify the following rocks/minerals according to their densities: periodite (3.4g/cm3), pumice (0.641g/cm3), pyrite (5.02g/cm3), shale (2.45g/cm3), slate (2.74g/cm3). Extract your data from the information given on the previous slide; enter it and your results (show all calculations) in the table below. submit 35. Some Important terms 36. 37. Match each mixture of the compound in the left column with water, to the correct test tube (1,2,or 3) from the previous slide 38. Certain vs Uncertain portions of measurements 39. How to treat zeros in measurements 40. Performing operations with measurements: 41. Standards 42. Measure each worm using the nearest ruler. Submit 43. Error submit 44. More about Error PowerPoint Presentation 46. Other Types of measurements 47. Post Lab Questions submit Prince George’s Community College false false false 16.0000

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Writers Solution

· Identify levels of measurement in data collection instruments (CO 2)

PICOT:

In hospitalized med/surg patients , does med reconciliation compliance compared to non-compliant medication reconciliation impact 30 day readmission rates?

During Unit 5, you will be working on the following unit outcomes:

· Identify levels of measurement in data collection instruments (CO 2)

· Discuss the implications of levels of measurement for statistical analysis (CO 2)

· Appraise the validity and reliability of data collection methods (CO 4)

· Examine data collection methods in published research studies (C

Here is some more information on variables…

The dependent variable is the variable a researcher is interested in. The changes to the dependent variable are what the researcher is trying to measure with all their fancy techniques. The variable that depends on other factors that are measured.

An independent variable is a variable believed to affect the dependent variable. This is the variable that you, the researcher, will manipulate to see if it makes the dependent variable change. The variable that is stable and unaffected by other variables you are trying to measure. It is the presumed cause.

According to Tappen (2016), the independent variables are defined as the variables that the researcher will manipulate to see if a change occurs in the dependent variables. The independent variable is the presumed cause of change. The dependent variables are what the researcher is attempting to measure.

WEEK 4

Ethical concerns in nursing research often do not have straight forward solutions. Nursing research relies on collaboration and partnerships based on mutual trust.  When that trust is breached the damage is irreversible.  Honesty, openness, respect and sensitivity to others provide the cornerstones for ethical research.  It is important that all nursing research is undertaken from a clear ethical stance, with ethical concerns identified at the outset and reevaluated on an ongoing basis throughout the project. 

Take a look at this video about ethical issues and human subjects (9:38)

https://www.youtube.com/watch?v=-O5gsF5oyls (Links to an external site.)

As nurses, our primary observations are of persons thus we need to think about how to ethically collect data from persons.

The National Research Act of 1974 established three ethical principles for research:

· Respect for persons

· Beneficence

· Justice

· Check out this video on Types of Sampling Methods —

· https://www.youtube.com/watch?v=pTuj57uXWlk

Carmen, 

· Probability sampling is the gold standard for ensuring generalizability, as it uses some form of random selection in choosing the sample units. The reason that this sample is called a probability sample is each sampling unit has a known chance (probability) that it will be selected (Houser, 2018). Nonprobability sampling does not use random selection so there is no known chance of being selected (Houser, 2018). Nonprobability samples are selected by nonrandom methods. They are often called convenience samples, as the selection is generally based on the convenience of obtaining access to the population. Results from a study where the sample was randomly selected from an accessible population can usually be generalized to the target population far easier than when using a convenience sample.

· Many researchers only have access to a convenience sample so lots of studies report this type of sampling. 


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