Describe the data using the measures of central tendency and measures of variability. Apply the normal distribution, stand

Slide 1

Title

Title Slide

Slide 2

Overview

Provide a brief overview of the scenario you are given above and the data set that you will be analyzing.

Slide 3

Classification

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 the data set (nominal, ordinal, interval, ratio)

Slide 4

Measures of Center

What are the measures of center and why are they important? Describe each individually and list any advantages or disadvantages that each may have.

Slide 5

Measures of Variation

What are the measures of variation and why are they important? Describe each individually and list any advantages or disadvantages that each may have.

Slide 6

Calculations

Show your results for the following calculations. Include formulas used in Excel. Interpret your results in the context of the scenario and include units of measurement for each.

· Mean

· Median

· Mode

· Mid-range

· Range

· Variance

· Standard Deviation

Slide 7

Confidence Intervals

Show your responses for the follow questions:

· What are confidence intervals?

· What is a point estimate?

· What is the best point estimate for a population mean? Explain.

· Why do we need confidence intervals?

Slide 8

Confidence Intervals

Construct a 95% confidence interval for the population mean ages of the patients. Assume that your data is normally distributed and σ is unknown.

Show results for the following calculations in constructing the confidence interval. Include formulas used in Excel. Interpret the confidence interval.

· Critical Value

· Margin of Error

· Upper and Lower Bounds

Slide 9

Hypothesis Testing

Perform the following hypothesis test based on the claim that the average age of all patients admitted to the hospital with infectious diseases is less than 64 years of age.

Write the null and alternative hypothesis symbolically and include the following additional information:

· 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.

Slide 10

Hypothesis Testing

Continue the hypothesis test based on the claim that the average age of all patients admitted to the hospital with infectious diseases is less than 64 years of age.

Show your results and formulas used for the following calculations:

· Test Statistic

· Critical Value

· P-value

Slide 11

Hypothesis Testing

Complete the hypothesis test by explaining the following:

· Decision to reject the null hypothesis or to not reject the null hypothesis.

· Explain your decision using the critical value method.

· Explain your reasoning using the P-value method.

· Restate your conclusion in non-technical terms.

Slide 12

Conclusion

Conclude by recapping your ideas by summarizing the information presented in context of the scenario.

· Include the mean, standard deviation, confidence interval with interpretation, and result of the hypothesis test.

· What conclusions, if any, do you believe we can draw as a result of your study?

· What did you learn from the project about the population based on this sample?

· What did you learn about the specific statistical tests you conducted?