Guidelines To Complete Required Excel Calculations For Phase

Guidelines To Complete Requiredexcel Calculationsfor Phase 4 Individua

Guidelines To Complete Required Excel Calculations for Phase 4 Individual Project of MATH301. Hello MATH301 Online Students, I would like to provide some guidelines to help you with Excel calculations using Excel formulas for Phase 4 Individual Project, in case you need additional help after viewing the live chat presentation. Please follow these guidelines exactly as instructed and contact me if you have further questions.

First, download the spreadsheet with data related to body fat (in percent) and body weight (in pounds) of Silver Gym members. Then, download both the live chat PowerPoint presentation with instructions on how to complete the tasks of the assignment, as well as the instructor’s spreadsheet with similar data and calculated values showing the Excel formulas used.

The location of the data table inside the instructor’s spreadsheet is exactly the same as that of the Task List with the main data table to be used for calculations. Use the spreadsheet downloaded from the Task List with body fat and weight data for Silver Gym. It is recommended to create a second spreadsheet within the same Excel file for Phase 4 (IP). Part 1 is for statistical measurement, and Part 2 is for calculating the P-value for hypothesis testing.

Paper For Above instruction

Part 1: Statistical Measurements

To analyze the body composition data of Silver Gym members, you will first calculate basic descriptive statistics including mean, median, standard deviation, and range for both body fat percentage and body weight.

Calculating the Mean (Average):

Begin by selecting an empty cell to the right of the data table. Access the “Formulas” tab, then click on “More Functions,” and select “Statistical,” followed by “AVERAGE.” In the dialog box that appears, input the range B2:B253 for body fat and C2:C253 for body weight, respectively. Confirm by clicking “OK,” which will display the calculated mean value in the cell.

Calculating the Median:

Repeat the same steps, but select “MEDIAN” instead of “AVERAGE.” Use the same ranges for body fat and body weight data.

Calculating Standard Deviation:

Again, follow the same procedure, choosing “STDEV.S,” a standard deviation function for a sample, with the same data ranges.

Calculating the Range:

Since Excel does not provide a built-in function for data range, manually compute it using formulas:

- For body fat: `=MAX(B2:B253)-MIN(B2:B253)`

- For body weight: `=MAX(C2:C253)-MIN(C2:C253)`

Type these formulas in an empty cell, press Enter, and review the calculated range values.

Part 2: Hypothesis Testing

Using the data, you will perform a hypothesis test to evaluate the claim about the population mean body fat.

Setting Up the Population Mean:

In cell H20, manually type “20,” representing the hypothesized population mean of body fat.

Calculating the Standard Deviation:

Next, in cell H22, compute the sample standard deviation for body fat as previously described, using the STDEV.S function.

Calculating the P-value:

Within the “Formulas” tab, access “More Functions,” then “Statistical,” and select “Z.TEST.”

- In the dialog box, input the array `B2:B253` for body fat.

- Enter “20” as the hypothesized mean.

- Input the standard deviation in cell H22.

Click “OK” to perform the test, which will display the cumulative probability (p-value) in cell H24.

To find the two-tailed P-value, input `=1-H24` in cell H27, and then `=2*H27` in cell H29, which provides the P-value for the hypothesis test.

Using the P-value:

Apply this P-value in your Word document to determine the statistical significance and interpret whether the data supports or refutes the claim that the true mean body fat is 20%. Follow the five-step hypothesis testing procedure as outlined in the live chat PowerPoint, discussing the null hypothesis, alternative hypothesis, significance level, P-value comparison, and conclusion.

Throughout the process, ensure meticulous data entry and formula accuracy. Remember to cite credible sources to support your analysis, and adhere to institutional guidelines for originality and citation.

In conclusion, these steps provide a structured approach to performing statistical analysis and hypothesis testing using Excel, aiding in accurate interpretation of body composition data.

References

  • Bluman, A. G. (2018). Elementary Statistics: A Step by Step Approach (10th ed.). McGraw-Hill Education.
  • Devore, J. L. (2015). Probability and Statistics for Engineering and the Sciences (8th ed.). Cengage Learning.
  • Moore, D. S., McCabe, G. P., & Craig, B. A. (2017). Introduction to the Practice of Statistics (9th ed.). W. H. Freeman.
  • Ott, R. L., & Longnecker, M. (2016). An Introduction to Statistical Methods and Data Analysis (7th ed.). Cengage Learning.
  • Strang, G. (2016). Introduction to Linear Algebra (5th ed.). Wellesley-Cambridge Press.
  • Spiegel, M. R., & Liu, J. (2015). Schaum's Outline of Statistics (4th ed.). McGraw-Hill Education.
  • Weiss, N. (2012). Introductory Statistics (9th ed.). Pearson Education.
  • Wooldridge, J. M. (2013). Introductory Econometrics: A Modern Approach (5th ed.). Cengage Learning.
  • Johnson, R. A., & Wichern, D. W. (2014). Applied Multivariate Statistical Analysis (6th ed.). Pearson Education.
  • Zar, J. H. (2010). Biostatistical Analysis (5th ed.). Pearson Education.

Related Assignments