Question 1)Sorting through unsolicited e-mail and spam affects the productivity of office workers. An Insight-Express survey monitored office workers to determine the unproductive time per day devoted to unsolicited e-mail and spam. The following data show a sample of time, in minutes, devoted to this task.

2, 4, 8, 4, 8, 1, 2, 32, 12, 1, 5, 7, 5, 5, 3, 4, 24, 19, 4, 14

Summarize the data by constructing the following for 5 classes:

1. (a)A frequency distribution
2. (b)A cumulative frequency distribution
3. (c)A cumulative relative frequency distribution
4. (d)A histogram
5. (e)What percentage of office workers spend 5 minutes or less on unsolicited e- mail and spam?
6. (f)What percentage of office workers spend more than 15 minutes on unsolicited e-mail and spam?
7. (g)What percentage of office workers spend between 6 to 20 minutes unsolicited e-mail and spam?

Question 2A questionnaire provides 58 Yes, 42 No and 20 no-opinion answers.

(a) Show the frequency, relative frequency, percentage frequency distribution. (b) Construct a pie chart.

(c) Construct a bar chart.

Question 3)How did people first learn about a new product? A random sample of 200 shoppers at a particular store was asked their age and whether they heard about the product from a friend or through a local newspaper advertisement. The results indicated that 50 respondents were under 21 years of age, 90 people were in the age group between 21 and 35, and 60 respondents were older than 35 years of age. Of those under 21 years old, 30 heard about the product from a friend, and the remainder learned about the product through the advertisement in the local paper. One-third of the people in the age category from 21 to 35 first learned about the product from the local newspaper advertisement; the remainder of this age group learned about the product from a friend. A friend informed 30% of the people in the over-35 age category about the product; the remainder learned about it from the local newspaper advertisement.

(a) Describe the data with a cross table. (b) Describe the data graphically.