Using the data set that you created for the Week 1 Discussion, we will look at descriptive statistics in the week’s discussion. We will look at the measures of center, mean median, and mode, and the...

Using the data set that you created for the Week 1 Discussion, we will look at descriptive statistics in the week’s discussion. We will look at the measures of center, mean median, and mode, and the measures of variability, variance, standard deviation and range. In addition, we will look at the shape of the data distribution (skew). The attachment BOOK1 file is what i used in the discussion last week and the information needed to use this week. The table below is just an example given to us in the class to help us out.

Example:
Recall from the Week 1 Discussion, I had data relating gender, weight, and systolic blood pressure. My two quantitative variables are going to be systolic blood pressure for men versus women. I sorted males and females into two tables and the results are below. For this Discussion, I would compare the mean, median, variance, and standard deviation of systolic blood pressure for men and women.

Post
a 2- to 3-paragraph response that includes the following information:

• Your data set including any modifications, if necessary.


• The mean, median, variance, and standard deviation calculations for your quantitative variables from Statdisk. You will want to paste these into your Discussion and cite these as evidence in the next parts of the Discussion.


• Discuss the measure of center for the data by comparing the mean and median of the two variables and write a conclusion sentence about the results. For your data set, would the mean or median be the best measure of center and why?


• Discuss the measure of variability for the variables by comparing either the variance or standard deviation and write a conclusion about the results. What do your results tell you about the spread of the data?


• Discuss the shape of the distribution for the two variables (left skew, right skew, symmetrical) supported with data. Look at the graphic on page 130 in the textbook. In addition to the results from Statdisk, you might want to create a histogram to show the skew for the variables.


• Post what you found most interesting in this week’s Discussion and why you found it interesting. Was it a topic that would apply to your degree field?

Gender	Weight (lb.)	Systolic Pressure (mm Hg)
M	150	144
M	225	140
M	250	113
M	275	128
M	235	138
M	267	116
M	145	132
M	285	126

Gender	Weight (lb.)	Systolic Pressure (mm Hg)
F	110	100
F	125	98
F	150	94
F	176	128
F	136	88
F	178	130
F	112	100