Perform hypothesis testing on the differences between two groups and create an Excel document. Write a 2–3-page analysis of the results in a Word document and insert the results into this document.
Note: You are strongly encouraged to complete the assessments in this course in the order they are presented.
Hypothesis testing is a foundational statistical technique used to make decisions about a hypothesis. A hypothesis test compares two mutually exclusive statements (null hypothesis, 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 assessment, you will perform hypothesis testing on the differences between two groups.
By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:
- Competency 1: Plan for data collection, measurement, and analysis.
- Competency 2: Analyze data using computer-based programming and software.
- Competency 3: Interpret results of data analysis for value-based health care decisions, policy, or practice.
- Competency 5: Communicate audience-appropriate health management content in a logically structured and concise manner, writing clearly with correct use of grammar, punctuation, spelling, and APA style.
- Generate a hypothesis about the difference between two groups in a dataset.
- Identify the appropriate statistical test in a dataset.
- Performs appropriate statistical test of the difference between two groups in a dataset.
- Interpret the results of a data analysis and state whether to accept or reject the null hypothesis based on the p-value and an alpha of .05.
- Write a narrative summary of the results that includes practical, administration-related implications of the hypothesis test.
- Write clearly and concisely, using correct grammar, mechanics, and APA formatting.
***Please complete Descriptive Statistics and Data Visualization first.Also, please complete the excel also.
Expert Solution Preview
Introduction:
Performing hypothesis tests on the differences between two groups is a foundational statistical technique used to make decisions about a hypothesis. In this assessment, students are expected to demonstrate their proficiency in planning for data collection, measurement, and analysis, analyzing data using computer-based programming and software, interpreting results of data analysis for value-based health care decisions, policy, or practice, as well as communicating audience-appropriate health management content in a logically structured and concise manner, writing clearly with correct use of grammar, punctuation, spelling, and APA style.
Answer:
To perform hypothesis testing on the differences between two groups, the following steps need to be taken:
Step 1: Generate a hypothesis about the difference between two groups in a dataset.
The first step is to generate a hypothesis about the difference between two groups in a dataset. For example, the hypothesis may be that there is a difference in blood pressure levels between males and females.
Step 2: Identify the appropriate statistical test in a dataset.
The second step is to identify the appropriate statistical test in a dataset. In the example above, a t-test can be used to compare the means of blood pressure levels between males and females.
Step 3: Perform appropriate statistical test of the difference between two groups in a dataset.
The third step is to perform the appropriate statistical test of the difference between two groups in a dataset. In the example above, a t-test can be used to perform the statistical test.
Step 4: Interpret the results of a data analysis and state whether to accept or reject the null hypothesis based on the p-value and an alpha of .05.
The fourth step is to interpret the results of a data analysis and state whether to accept or reject the null hypothesis based on the p-value and an alpha of .05. If the p-value is less than .05, the null hypothesis can be rejected, and it can be concluded that there is a statistically significant difference between the two groups. Conversely, if the p-value is greater than .05, the null hypothesis cannot be rejected, and it can be concluded that there is no statistically significant difference between the two groups.
Step 5: Write a narrative summary of the results that includes practical, administration-related implications of the hypothesis test.
The fifth and final step is to write a narrative summary of the results that includes practical, administration-related implications of the hypothesis test. The narrative summary should provide insights into the findings that are significant from a practical perspective. In the example above, the findings may have implications for the diagnosis and treatment of hypertension based on gender differences.
Additionally, it is important to write clearly and concisely, using correct grammar, mechanics, and APA formatting when presenting the hypothesis test results.
