## (Solved) The 99% confidence interval for male BMI is (24.53, 27.47) The 99% confidence interval for female BMI is (23.1, 28.38) We are 99% confident that the...

Write a 750-word statistical laboratory report using the information you obtained in the assigned readings for this topic. This statistical report is not meant to be an APA report or a multiple-page scholarly treatise. The goal is that you become familiar with the formal report format that you will use whenever you are reporting statistical analysis. The report format includes the following sections: Abstract, Purpose, Methods, and Results.Assume that you are asked to perform an exploratory data analysis in which the emphasis is to compare the difference between the body mass index (BMI) values of men and women. Use Excel and/or SPSS to create reports and run analyses on the data for the Data Set 1 in Appendix B of your textbook.

Assume you are a biostatistics analyst and you received a request from the director of the nutrition program to perform the analysis. The director is developing an obesity program for the state and has obtained the data set from the National Center for Health Statistics (NCHS). Because it has been some time since the director has had a statistics course, any points that would make your analysis easier to understand would be appreciated.

Generate appropriate histograms or box plots. Find appropriate statistics that will help to understand the data set. Are there any notable features? Are there any outliers? Describe the key elements of center, variation, distribution, and outliers.

A minimum of three scholarly references are required.

While APA format is not required for the body of this assignment, solid academic writing is expected, and in-text citations and references should be presented using APA documentation guidelines, which can be found in the APA Style Guide, located in the Student Success Center.

1. Statistical Report Writing

Read â€œStatistical Report Writing,â€ by School of Mathematics, The University of Manchester.Â

http://www.maths.manchester.ac.uk/~saralees/68371_1.pdf

***I have attached Data Set 1 in Appendix B along with my BMI resultsÂ for your reference.

The 99% confidence interval for male BMI is (24.53, 27.47)
The 99% confidence interval for female BMI is (23.1, 28.38)
We are 99% confident that the mean BMI for male is between 24.53 and 27.47, and for female is
between 23.1 and 28.38. The interval is wider for female than for male. Because the two intervals
overlap, we cannot conclude that men have a BMI that is greater than that of women despite that fact
that men have larger mean weight and height.
Output from Excel: Descriptive statistics
count
mean
sample variance
sample standard deviation
minimum
maximum
range
confidence interval 99.%
lower
confidence interval 99.%
upper
half-width Male
40
25.99
8
11.77
0
3.431
19.6
33.2
13.6
24.52
9
27.46
6
1.469 Femal
e
40
25.740
38.014
6.166
17.7
44.9
27.2
23.100
28.380
2.640

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