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Chapter 2:

Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentations.

Amanda Monzon

Cami Snider

Sam Branco

Laura Florez

Leandro Alvarez

Julissa Ibanez

Mitchell Martinez

Michael Bentov

Amanda Monzon

Cami Snider

Julissa Ibanez

Laura Florez

Leandro Alvarez

MIchael Bentov

Mitchell Martinez

Sam Branco

Chapter 2: Exercise 26

Speedy Swift is a package delivery service that serves the greater Atlanta, Georgia, metropolitan area. To maintain customer loyalty, one of Speedy Swift's performance objectives is on-time delivery. To monitor its performance, each delivery is measured on the following scale: early (package delivered before the promised time), on-time (package delivered within 5 minutes of the promised time), late (package delivered more than 5 minutes past the promised time), lost (package never delivered). Speedy Swift's objective is to deliver 99% of all packages either early or on-time. Another objective is to never lose a package.

Speedy collected the following data for last month's performance:

Chapter 2: Exercise 26

Cami Snider

Chapter 2: Exercise 26

A. What scale is used to measure delivery performance & why?

A.

Answer: The scale used to measure delivery performance is Ordinal. Ordinal is adequate because the data is qualitative, non numeric, and the data is being organized on a relative scale. In other words, it is ranked but not quantified.

Sam Branco

Chapter 2: Exercise 26

B. What kind of variable is delivery performance and why?

B.

Answer: Speedy Swift's delivery performance is measured on a qualitative scale by categorizing the variables for last month's performance.

Amanda Monzon

Chapter 2: Exercise 26

C. Construct a frequency table for delivery performance for last month.

C.

*Results based on data collected from delivery performance.

Leandro Alvarez

Chapter 2: Exercise 26

D. Construct a relative frequency table for delivery performance last month.

D.

*Relative frequency= Class frequency/ Total observations

*Based on the frequency table calculations.

Laura Florez

Chapter 2: Exercise 30

The following data gives the weekly amounts spent on groceries for a sample of 45 households.

Chapter 2: Exercise 30

Julissa Ibanez

Chapter 2: Exercise 30

A. How many classes would you recommend?

A.

Answer: 2^k > n

K is the number of classes and n is the number of total observations. For instance, 2^k must be 1 greater than n. Since 2^5=32 and 2^6=64, k must equal to 6.

K=6

Mitchell Martinez

Chapter 2: Exercise 30

B. What class interval would you suggest?

B.

Answer: (Highest value -lowest value)/ K. The highest value equals 570 and the lowest value is 41. We know that K equals 6. (570 -41)/6 = 88.17. The class interval is rounded to 100.

Michael Bentov

Chapter 2: Exercise 30

C. What would you recommend as the lower limit of the first class?

C.

Answer: 0 would be the lowest class interval because it includes the lowest value of 41.

Cami Snider

Chapter 2: Exercise 30

D. Organize the data into a frequency distribution.

Answer:

D.

Sam Branco

After determining the class intervals, tally up the table values and place the amount in the corresponding class.

Chapter 2: Exercise 24

The frequency distribution of order lead time at Ecommerce.com is given below.

Chapter 2:

Exercise 24

Amanda Monzon

Chapter 2: Exercise 24

A. What is the midpoint of the class with the smallest frequency?

A.

Answer: 0 (the lowest interval in that class) + 5 (the highest interval in that class) / by 2= 2.5, which is the midpoint of the smallest frequency.

Leandro Alvarez

Chapter 2: Exercise 24

B. What is the relative frequency for orders that were filled from 0 up to 10 days?

B.

Answer: Relative frequency formula.

frequency/ total number of observation.

Relative frequency= 6+7/ 40= 0.325

Laura Florez

Chapter 2: Exercise 24

C. What is the relative frequency for orders that were filled in more than 10 days?

Answer: 12+8+7/40= 0.675

C.

Mitchell Martinez

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