Description

Introduce your scenario and data set.Provide a brief overview of the scenario you are given above and the data set that you will be analyzing.Classify the variables in your data set.Which variables are quantitative/qualitative?Which variables are discrete/continuous?Describe the level of measurement for each variable included in your data set.Discuss the importance of the Measures of Center and the Measures of Variation.What are the measures of center and why are they important?What are the measures of variation and why are they important?Calculate the measures of center and measures of variation. Interpret your results in context of the selected topic.MeanMedianModeMidrangeRangeVarianceStandard DeviationDiscuss the importance of constructing confidence intervals for the population mean.What are confidence intervals?What is a point estimate?What is the best point estimate for the population mean? Explain.Why do we need confidence intervals?Based on your selected topic, evaluate the following:Find the best point estimate of the population mean.Construct a 95% confidence interval for the population mean. Assume that your data is normally distributed and σ is unknown.Please show your work for the construction of this confidence interval and be sure to use the Equation Editor to format your equations.Write a statement that correctly interprets the confidence interval in context of your selected topic.Based on your selected topic, evaluate the following:Find the best point estimate of the population mean.Construct a 99% confidence interval for the population mean. Assume that your data is normally distributed and σ is unknown.Please show your work for the construction of this confidence interval and be sure to use the Equation Editor to format your equations.Write a statement that correctly interprets the confidence interval in context of your selected topic.Compare and contrast your findings for the 95% and 99% confidence interval.Did you notice any changes in your interval estimate? Explain.What conclusion(s) can be drawn about your interval estimates when the confidence level is increased? Explain.Discuss the process for hypothesis testing.Discuss the 8 steps of hypothesis testing?When performing the 8 steps for hypothesis testing, which method do you prefer; P-Value method or Critical Value method? Why?Perform the hypothesis test.If you selected Option 1:Original Claim: The average salary for all jobs in Georgia is less than $65,000.Test the claim using α = 0.05 and assume your data is normally distributed and σ is unknown.

If you selected Option 2:Original Claim: The average age of all patients admitted to the hospital with infectious diseases is less than 65 years of age.Test the claim using α = 0.05 and assume your data is normally distributed and σ is unknown.

Based on your selected topic, answer the following:Write the null and alternative hypothesis symbolically and identify which hypothesis is the claim.Is the test two-tailed, left-tailed, or right-tailed? Explain.Which test statistic will you use for your hypothesis test; z-test or t-test? Explain.What is the value of the test-statistic? What is the P-value?

What is the critical value?What is your decision; reject the null or do not reject the null?Explain why you made your decision including the results for your p-value and the critical value.State the final conclusion in non-technical terms.ConclusionRecap your ideas by summarizing the information presented in context of your chosen scenario

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As a healthcare professional, you will work to improve and maintain the health of individuals, families,

and communities in various settings. Basic statistical analysis can be used to gain an understanding of

current problems. Understanding the current situation is the first step in discovering where an

opportunity for improvement exists. This project will assist you in applying basic statistical principles to

a fictional scenario in order to impact the health and wellbeing of the clients being served.

You are currently working at Grady Memorial Hospital in the Infectious Diseases Unit. Over the past few

days, you have noticed an increase in patients admitted with a particular infectious disease. You believe

that the ages of these patients play a critical role in the method used to treat the patients. You decide to

speak to your manager and together you work to use statistical analysis to look more closely at the ages

of these patients. You do some research and put together a spreadsheet of the data that contains the

following information:

•

•

•

Client number

Infection Disease Status

Age of the patient

You need the preliminary findings immediately so that you can start treating these patients. So let’s get

to work!!!!

The data set consists of 60 patients that have the infectious disease with ages ranging from 35 years of

age to 76 years of age for Grady Memorial Hospital.

Patient #

Infectious Disease

Age

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

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26

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28

29

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31

32

33

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35

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38

39

40

41

42

43

44

45

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

69

35

60

55

49

60

72

70

70

73

68

72

74

69

46

48

70

55

49

60

72

70

76

56

59

64

71

69

55

61

70

55

45

69

54

48

60

61

50

59

60

62

63

53

64

46

47

48

49

50

51

52

53

54

55

56

57

58

59

60

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

50

69

52

68

70

69

59

58

69

65

61

59

71

71

68

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attachment

Tags:

alternative hypothesis

test statistic

null hypothesis

infectious diseases

p value measures

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