Hypothesis testing is a foundational statistical technique used to make decisions about a hypothesis

        Hypothesis testing is a foundational statistical technique used to make decisions about a hypothesis. A hypothesis test compares two mutually exclusive statements (null hypothesis and alternative hypothesis) where only one is true. Hypothesis testing can determine statistical significance by examining the probability that a given result would occur under the null hypothesis. For this assignment, you will perform hypothesis testing on the differences between the two groups.​​​ perform hypothesis testing on the differences between two groups in the Assignment 2 Dataset. Create an appropriately labeled Excel document with your results. Also, write an analysis of the results in a Word document. Insert the test results into this document (copied from the output file and pasted into a Word document). Refer to the "Copy From Excel to Another Office Program" resource for instructions. Generate a hypothesis about the difference between the two groups in a dataset. State null hypothesis and alternative hypothesis as an explanation and math equation. Identify the appropriate statistical test of the difference between the two groups in a dataset. Provide your statistical rationale. Perform an appropriate statistical test of the difference between two groups in a dataset. Interpret the statistical results of data analysis and state whether to accept or reject the null hypothesis based on the p-value and an alpha of .05. Interpret p-value and statistical significance.

t = -2.23
df = 19
p-value = 0.037