Question

Organize and Display Data Data in the following data table were collected from a class of 9th grade students. ID Gender Height (m) Female 2 Weight (kg) Exercise per week 6 Days 4 Days 0 Days 1 Day 1 Day 0 Days 1 Day 4 Days 4 Days 7 Days 1 Day 2 Days 0 Days 2 Days 7 Days 0 Days 4 Days 6 Days 3 Days 2 Days 6 Days 5 Days 0 Days 0 Days 7 Days 4 Days 4 Days 7 Days Daily hours of TV viewing Less than 2 hours Less than 2 hours 2 hours or more 2 hours or more Less than 2 hours 2 hours or more 1 1.43 1.57 1.65 42.18 51.62 Female 3 Female Female 5 62.77 4 1.78 73.40 Female Female 1.57 49.90 50.80 1.60 7 Male 1.57 46.70 Less than 2 hours 2 hours or more Less than 2 hours Less than 2 hours Less than 2 hours 2 hours or more 2 hours or more 2 hours or more Less than 2 hours Less than 2 hours 2 hours or more Less than 2 hours Less than 2 hours Less than 2 hours Less than 2 hours Less than 2 hours 2 hours or more Less than 2 hours Less than 2 hours Less than 2 hours 2 hours or more 59.90 79.88 Male Male 1.75 1.68 10 Male 1,68 68.95 11 Male Female Female 1.65 1.57 57.63 48.54 12 13 1.68 73.94 14 Male 1.85 118.33 15 Male 1.68 45.36 16 Female Female Male Female Female Female Male 65.30 1.55 17 1.60 47.63 18 1.83 97.11 19 62.06 1.73 20 21 1.57 53.52 63.50 22 1.88 23 Male 24 Male 1.70 58.97 25 Male 1.75 90.16 26 Male Female Female 72.70 1.78 27 1.65 58.06 28 1.57 44.45 29 3 Days 2 Days 2 hours or more 2 hours or more 49.90 66.24 ""in the table means missing value and no information was given for it. You will leave it Female Male 1.60 1.70 30 blank when creating data in a statistical software. Use this data to answer all questions in the following pages except for the last question. 5. Make a cluster bar chart to examine the correlation between gender and Daily hours of TV viewing variables. (Use the Daily hours of TV viewing variable as the category axis and gender variable as the cluster variable.) Frequency Male Female 2 hours or more Less than 2 hours Daily Hours of TV Viewing 6. 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. Weight Height 7. Find the 5-number summary for the weight data in the table and make a boxplot for the Weight variable. Min.: QI: Median: Q3: Max.: Inter-quartile Range The distribution of the data is skewed to: (Circle the corect answer) A. left B t C. no skewness Make the boxplot in the following space. 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 8. Blood Pressure mm Hg 118 122 120 123 Time 8:00 9:00 10:00 11:00 12:00 13:00 125 126 14:00 15:00 127 127 130 133 136 16:00 17:00 18:00 Blood Pressure Time

Answer 1

Q8)

data

time	blood pressure
8	118
9	122
10	120
11	123
12	125
13	126
14	127
15	127
16	130
17	133
18	136

Plot

blood pressure 138 136 134 132 130 128 126 124 122 120 118 116 8 0 2 4 6 10 12 14 16 18 20

Please copy paste the data for Q5-7