Assignment -Descriptive Statistics. Name: ______

Assignment -Descriptive Statistics. Name: ______

Assignment -Descriptive Statistics. Name: ______

Organize and Display Data

Data in the following data table were collected from a class of 9th grade students.

ID / Gender / Height (m) / Weight (kg) / Exercise per week / Daily hours of TV viewing
1 / Male / 1.63 / 62.18 / 6 Days / 2 hours or more
2 / Female / 1.57 / 51.62 / 4 Days / Less than 2 hours
3 / Female / 1.65 / 62.77 / 0 Days / 2 hours or more
4 / Female / 1.78 / 73.40 / 1 Day / 2 hours or more
5 / Female / 1.57 / 49.90 / 1 Day / Less than 2 hours
6 / Female / 1.60 / 50.80 / 0 Days / 2 hours or more
7 / Male / 1.57 / 46.70 / 1 Day / .
8 / Male / 1.75 / 59.90 / 4 Days / Less than 2 hours
9 / Male / 1.68 / 79.88 / 4 Days / 2 hours or more
10 / Male / 1.68 / 68.95 / 7 Days / Less than 2 hours
11 / Male / 1.65 / 57.63 / 1 Day / Less than 2 hours
12 / Female / 1.57 / 48.54 / 2 Days / Less than 2 hours
13 / Female / 1.68 / 73.94 / 0 Days / 2 hours or more
14 / Male / 1.85 / 118.33 / 2 Days / 2 hours or more
15 / Male / 1.68 / 45.36 / 7 Days / 2 hours or more
16 / Female / 1.55 / 65.30 / 0 Days / Less than 2 hours
17 / Female / 1.60 / 47.63 / 4 Days / Less than 2 hours
18 / Male / 1.83 / 97.11 / 6 Days / 2 hours or more
19 / Female / 1.73 / 62.06 / 3 Days / Less than 2 hours
20 / Female / . / . / 2 Days / Less than 2 hours
21 / Female / 1.57 / 53.52 / 6 Days / Less than 2 hours
22 / Male / 1.88 / 63.50 / 5 Days / Less than 2 hours
23 / Male / . / . / 0 Days / Less than 2 hours
24 / Male / 1.70 / 58.97 / 0 Days / 2 hours or more
25 / Male / 1.75 / 90.16 / 7 Days / Less than 2 hours
26 / Male / 1.78 / 72.70 / 4 Days / Less than 2 hours
27 / Female / 1.65 / 58.06 / 4 Days / Less than 2 hours
28 / Female / 1.57 / 44.45 / 7 Days / 2 hours or more
29 / Female / 1.60 / 49.90 / 3 Days / 2 hours or more
30 / Male / 1.70 / 66.24 / 2 Days / 2 hours or more

“.” in the table means missing value and no information was given for it. You will leave it blank when creating data in a statistical software.

Use this data to answer all questions in the following pagesexcept for the last question.

[If this is an online assignment, please download and print the assignment and complete the questions by hand. You may submit the assignment by scanning or taking digital picture of the assignment and submit the file(s) through Assignment.]

(For this assignment, do all the work by hand, not by computer.)

  1. Make a dotplot for Height variable.

1.4 1.5 1.6 1.7 1.8

  1. Make a stemplot for Height variable.
  1. Make a frequency distribution table for the Weight variable and then make a histogram to display the distribution of this variable.(Use a class width of 10.)
Class / Frequency
40 to less than 50 /
  1. Make a frequency distribution table for the gender variable to see the frequency distribution and then make a bar chart.
Class / Frequency
  1. Make a cluster bar chart to examine the correlation between gender and Daily hours of TV viewing variables. (Use theDaily hours of TV viewing variable as the category axis and gender variable as the cluster variable.)
  1. Make a scatter plot to examine the correlation between Weight and Height variables, and write a sentence to describe the trend you observed from the scatter plot.
  1. Find the 5-number summary for the weight data in the table and make a boxplot for the Weight variable.

Min.:

Q1:

Median:

Q3:

Max.:

Inter-quartile Range:

The distribution of the data is skewed to: (Circle the correct answer)

  1. left
  2. right
  3. no skewness

Make the boxplot in following space and identify outliers using inner and outer fences.

  1. A nurse took the systolic blood pressure of a patient and recorded it every hour from 8 am to 6 pm.The data is shown in the following table. Produce a time plot to display the trend of the blood pressure measurements.

Time / Blood Pressure mm Hg
8:00 / 118
9:00 / 122
10:00 / 120
11:00 / 123
12:00 / 125
13:00 / 126
14:00 / 127
15:00 / 127
16:00 / 130
17:00 / 133
18:00 / 136

1