Course Content

Data Analysis with Excel

## Data Analysis with Excel

# Hypothesis Testing

In the last chapter of this course, we will dive into **Hypothesis Testing**, a fundamental statistical tool used to determine the significance of results obtained from a data set.

We'll focus on conducting **t-tests** and **z-tests**, which are commonly used to compare sample means to a known value or another sample mean under specific assumptions.

Hypothesis Testing is crucial for validating the findings in research, business analytics, and many scientific disciplines, helping to make **informed decisions based on statistical evidence**.

# Task

Your assignment is to use Excel to conduct statistical tests on the provided datasets. **Perform both T-tests and Z-tests** to compare sample means and evaluate hypotheses.

Below are the datasets for user groups to use for the T-test and Z-test:

For **t-test**:

- Navigate to the
**Data**tab and click on**Data Analysis**. If this option is not available, activate it via**Excel Options**by adding it from the**Add-ins**. - Select
**t-Test: Two-Sample Assuming Equal Variances**from the**Data Analysis**options. - For the
**t-test**, use the data from**T-Test Group 1**and**T-Test Group 2**. - Input the hypothesized mean difference (set it to
**0**, indicating**no expected difference under the null hypothesis**). - Ensure
**labels are included**. Set the alpha value at**0.05**. **Execute the test**and review the output. A**p-value**less than**0.05**typically indicates**statistical significance**, suggesting you**reject the null hypothesis**.

For **z-test**:

- Navigate to the
**Data**tab and click on**Data Analysis**. If this option is not available, activate it via**Excel Options**by adding it from the**Add-ins**. - For the
**z-test**, suitable for larger sample sizes, use the**z-Test: Two Sample for Means**option. - Use the data from
**Z-Test Group 1**and**Z-Test Group 2**. - Input the hypothesized mean difference (set it to
**0**, indicating**no expected difference under the null hypothesis**). - Since the population standard deviations are known, input
**100**for the variances of both groups. - Ensure
**labels are included**. Set the alpha value at**0.05**. **Execute the test**and review the output. A**p-value**less than**0.05**typically indicates**statistical significance**, suggesting you**reject the null hypothesis**.

# Congratulations

Congratulations on completing the **Data Analysis with Excel** course! 🎉

You've taken a **significant step** towards mastering the tools and techniques necessary for interpreting and transforming data into actionable insights. **Well done** on achieving this milestone, and we look forward to seeing how you'll leverage your newfound expertise in your **professional endeavors** and **further studies**. 👏

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