Business > CASE STUDY > Assignment 2 Unit 5.docx HYPOTHESIS TESTING FOR DIFFERENCES BETWEEN GROUPS (All)

Assignment 2 Unit 5.docx HYPOTHESIS TESTING FOR DIFFERENCES BETWEEN GROUPS

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Assignment 2 Unit 5.docx HYPOTHESIS TESTING FOR DIFFERENCES BETWEEN GROUPS 1 MHA5017 Hypothesis Testing for Differences Between Groups Capella University Data Analysis for Health ...

Assignment 2 Unit 5.docx HYPOTHESIS TESTING FOR DIFFERENCES BETWEEN GROUPS 1 MHA5017 Hypothesis Testing for Differences Between Groups Capella University Data Analysis for Health Care Decisions MHA5017 Hypothesis Testing for Differences Between Groups Hypothesis testing is the process of determining from a sample whether something could be true of a population in other words, inferring from a sample that may be true in a population (Kros & Rosenthal, 2016). In this assignment, an investor needs to make a decision on whether to acquire one of two medical clinics based on their productivity, as measured by the total number of visits per month. A t test will be utilized to assess whether a value found from a sample could have come from a population in which a hypothesized value is true (Kros & Rosenthal, 2016). Hypothesis testing, will determine if p is less than 0.05 (alpha) or if p is greater than 0.05 (alpha). The determination will be based off of if the results are significant or non-significant. According to Gallo (2016), statistical significance helps quantify whether a result is likely due to chance or to some factor of interest. When a finding is significant, it simply means you can feel confident that it is real. For significant results, if the p value is less than 0.05 you would then reject the null hypothesis. For a non-significant result, the p value would be greater than 0.05, resulting in not rejecting the null hypothesis. A null hypoth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . .. .. . . . . . . . . . . . . . . . . . .. . . . .

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