# Hypothsis Testing Problems

Presently at a new job I have been instructed to provide solutions to possible work related issues on Hypothesis Testing.

ââ?¬¢ I have to utilize the steps of hypothesis testing for comparing a single sample to the original population, and utilize a-level to relate the normal distribution to the hypothesis testing.

ââ?¬¢ Show evaluations on how sample data can be used to estimate standard error in order to conduct tests on populations with unknown parameters, including detailing the limitations and assumptions of the t-test.

ââ?¬¢ Summarize how the t-test can be used to compare two independent samples and the importance of homogeneity of variance.

I can use either of the following materials as guide or other materials

Grove, S. (2007). Statistics for health care research: a practical workbook. (1st ed.). St. Louis, MO: Elsevier. ISBN-13: 9781416002260 (Includes only Exercises 16, 29, 31, 36, 27 and 40)

Burns, N., & Grove, S. (2011). Understanding nursing research: Building an evidence-based practice. (5th ed.). St. Louis, MO: Elsevier. ISBN-13: 9781437707502 (Includes only chapters 9 and 11) Exercise 31

ââ?¬¢ 1) Exercise 31 in Statistics for health care research: a practical workbook.

ââ?¬¢ 2) I have to complete the study questions about the reading and check my solutions to the study questions for accuracy.

ââ?¬¢ 3) And copy and paste the Exercise 31: Questions in page 236 into a word document.

ââ?¬¢ 4) I have to use Word's equation editor, etc., and provide a short written description as to how I obtained the final result.

ââ?¬¢ Hypothesis Excel Worksheet

ââ?¬¢ 1) Please check and use the Hypothesis Excel Worksheet ATTACHED and provide your suggested solution to the questions on the Excel document.

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#### Solution Summary

The solution provides step by step method for the calculation of testing of hypothesis. Formula for the calculation and Interpretations of the results are also included. Interactive excel sheet is included. The user can edit the inputs and obtain the complete results for a new set of data.