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# MATH 221 WK 2 LAB

- From Mathematics, Statistics

- Mickeygabz
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MATH 221 Statistics for Decision Making

__Creating Graphs__

1. Create a pie chart for the variable Car Color: Select the column with the Car variable, including the title of Car Color. Click on **Insert**, and then **Recommended Charts**. It should show a clustered column and click **OK**. Once the chart is shown, right click on the chart (main area) and select **Change Chart Type**. Select **Pie** and **OK**. Click on the pie slices, right click **Add Data Labels**, and select **Add Data Callouts**. Add an appropriate title.Copy and paste the chart here. (4 points)

2. Create a histogram for the variable Height.You need to create a frequency distribution for the data by hand. Use 5 classes, find the class width, and then create the classes. Once you have the classes, count how many data points fall within each class. It may be helpful to sort the data based on the **Height** variable first. Create a new worksheet in Excel by clicking on the + along the bottom of the screen and type in the categories and the frequency for each category. Then select the frequency table, click on **Insert**, then **Recommended Charts** and choose the column chart shown and click **OK**. Right click on one of the bars and select **Format Data Series**. In the pop up box, change the **Gap Width** to 0. Add an appropriate title and axis label.Copy and paste the graph here. (4 points)

3. Type up a stem-and-leaf plot chart in the box below for the variable Money, with a space between the stems and the group of leaves in each line. Use the tens value as the stem and the ones value for the leaves. It may be helpful to sort the data based on the Money variable first.

An example of a stem-and-leaf plot would look like this:

0 4 5 6 9 3

1 5 6 3 6

2 9 2

The stem-and-leaf plot shown above would be for data 4, 5, 6, 9, 3, 15, 16, 13, 16, 29, and 22. (4 points)

Calculating Descriptive Statistics

4. Calculate descriptive statistics for the variable Height by Gender. Click on **Insert** and then **Pivot Table**. Click in the top box and select all the data (including labels) from **Height** through **Gender**. Also click on “new worksheet” and then **OK**. On the right of the new sheet, click on **Height** and **Gender**, making sure that **Gender** is in the **Rows** box and **Height** is in the **Values** box. Click on the down arrow next to **Height** in the **Values** box and select **Value Field Settings**. In the pop up box, click **Average**then** OK**. Type in the averages below. Then click on the down arrow next to **Height** in the **Values** box again and select **Value Field Settings**. In the pop up box, click on **StdDev**then** OK**. Type the standard deviations below. (3 points)

__Short Answer Writing Assignment__

All answers should be complete sentences.

5. What is the most common color of car for students who participated in this survey? Explain how you arrived at your answer. (5 points)

- What is seen in the histogram created for the heights of students in this class (include the shape)? Explain your answer. (5 points)

- What is seen in the stem and leaf plot for the money variable (include the shape)? Explain your answer. (5 points)

- Compare the mean for the heights of males and the mean for the heights of females in these data. Compare the values and explain what can be concluded based on the numbers. (5 points)

- Compare the standard deviation for the heights of males and the standard deviation for the heights of females in the class. Compare the values and explain what can be concluded based on the numbers. (5 points)

- Using the empirical rule, 95% of female heights should be between what two values? Either show work or explain how your answer was calculated. (5 points)

**11. **Using the empirical rule, 68% of male heights should be between what two values? Either show work or explain how your answer was calculated. (5 points)

## [Solved] MATH 221 WK 2 LAB

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- Submitted On 13 Jun, 2017 09:55:46

- Mickeygabz
- Rating : 23
- Grade :
**A+** - Questions : 1
- Solutions : 181
- Blog : 0
- Earned : $378.85