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.

Mean

Median

Mode

Midrange

Range

Variance

Standard Deviation

Discuss 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 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.

Conclusion

Recap your ideas by summarizing the information presented in context of your chosen scenario.

Please be sure to show all of your work and use the Equation Editor to format your equations.

** SCENARIO **

Introduction:

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 course 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.

This assignment will be completed in phases throughout the quarter. As you gain additional knowledge through the didactic portion of this course, you will be able to apply your new knowledge to this project. You will receive formative feedback from your instructor on each submission. The final project will be due on week 5.

Scenario:

You are currently working at NCLEX 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!!!!

Background information on the Data:

The data set consists of 65 patients that have the infectious disease with ages ranging from 35 years of age to 81 years of age for NCLEX Memorial Hospital. Remember this assignment will be completed over the duration of the course.

** DATA SET **

Patient #	Infectious Disease	Age
1	Yes	69
2	Yes	35
3	Yes	60
4	Yes	55
5	Yes	49
6	Yes	60
7	Yes	72
8	Yes	70
9	Yes	70
10	Yes	73
11	Yes	68
12	Yes	72
13	Yes	74
14	Yes	69
15	Yes	46
16	Yes	48
17	Yes	71
18	Yes	55
19	Yes	49
20	Yes	60
21	Yes	72
22	Yes	70
23	Yes	76
24	Yes	56
25	Yes	59
26	Yes	64
27	Yes	71
28	Yes	69
29	Yes	71
30	Yes	61
31	Yes	70
32	Yes	55
33	Yes	45
34	Yes	69
35	Yes	54
36	Yes	48
37	Yes	60
38	Yes	61
39	Yes	50
40	Yes	59
41	Yes	60
42	Yes	62
43	Yes	63
44	Yes	53
45	Yes	64
46	Yes	50
47	Yes	69
48	Yes	52
49	Yes	68
50	Yes	71
51	Yes	69
52	Yes	59
53	Yes	58
54	Yes	69
55	Yes	65
56	Yes	61
57	Yes	59
58	Yes	71
59	Yes	71
60	Yes	68
61	Yes	49
62	Yes	73
63	Yes	64
64	Yes	81
65	Yes	71