Question: Investigating the claims of weight-loss clinics.The U.S. Federal Trade Commission assesses fines and other penalties against weight-loss clinics that make unsupported or misleading claims about the effectiveness of their programs. Brochures from two weight-loss clinics both advertise “Statistical evidence” about the effectiveness of their programs. Clinic A claims that the mean weight loss during the first month is 15 pounds; Clinic B claims a median weight loss of 10 pounds.

a.Assuming the statistics are accurately calculated, which clinic would you recommend if you had no other information? Why?

b.Upon further research, the median and standard deviation for Clinic A are found to be 10 pounds and 20 pounds, respectively, while the mean and standard deviation for Clinic B are found to be 10 and 5 pounds, respectively. Both are based on samples of more than 100 clients. Describe the two clinics’ weight-loss distributions as completely as possible, given this additional

information. What would you recommend to a prospective client now? Why?

c.Note that nothing has been said about how the sample of clients upon which the statistics are based was selected. What would additional information be important regarding the sampling techniques employed by the clinics?

Short Answer

Expert verified

Answer

  1. If we take a clinic, B then it avoids weight loss.
  2. The two clinics' weight loss distributions follow a normal distribution.
  3. The additional information is median.

Step by step solution

01

Given information

Given that clinic A claims that that means weight loss during the first month is pounds. The clinic B claims a median weight loss of pounds.

02

(a) Find the clinic who have no information and define the cause

By calculating to find that clinic A claims that mean weight loss of during 15 pounds. And the clinic B claims that the median weight loss of 10 pounds. They are accurately calculated. For this case, we take a clinic B with a median weight loss of during 15 pounds. If we take clinics, then we can avoid the weight loss clinic B that makes unsupported or misleading claims about their effectiveness.

03

(b) Describe two clinics' weight loss distributions and define the cause of recommendation to a prospective client

Given that clinic A has median 10 pounds and standard deviation 20 pounds. Similarly, the B clinic has median pounds and standard deviation 5 pounds. Previously they know that clinic A has to mean weight loss of 15 pounds. The two clinics' weight loss distribution follows the normal distribution. Recommend to a prospective client is the clinic A . So, the clinic A follows a normal distribution with a mean weight loss of 15 pounds and a standard deviation of 20 pounds.

04

(c) Define the additional information regarding the sampling techniques employed by the clinics

The additional information is clinic A has median 10 pounds and the clinic B has a median 10 . The two clinics have the same median. One know that normal distribution is symmetric distribution. Where mean median and mode are equal, in terms of the sample strategies utilized by both clinics, a planned experiment approach would be the greatest alternative.

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Most popular questions from this chapter

Crash tests on new cars.The National Highway Traffic Safety Administration (NHTSA) crash-tests new car models to determine how well they protect the driver and front-seat passenger in a head-on collision. The NHTSA has developed a “star” scoring system for the frontal crash test, with results ranging from one star (*) to five stars (*****). The more stars in the rating, the better the level of crash protection in a head-on collision. The NHTSA crashtest results for 98 cars (in a recent model year) are stored in the accompanying data file.

a. The driver-side star ratings for the 98 cars are summarized in the Minitab printout shown below. Use the information in the printout to form a pie chart. Interpret the graph.

Tally for Discrete Variables: DRIVSTAR

DRIVSTAR

Count

Percent

2

3

4

5

N =

4

17

59

18

98

4.08

17.35

60.20

18.37


b. One quantitative variable recorded by the NHTSA is the driver’s severity of head injury (measured on a scale from 0 to 1,500). The mean and standard deviation for the 98 driver head-injury ratings are displayed in the Minitab printout below. Give a practical interpretation of the mean.
Descriptive Statistics: DRIVHEAD

Variable

N

Mean

StDev

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Q1

Median

Q3

Maximum

DRIVHEAD

98

603.7

185.4

216.0

475.0

605.0

724.3

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Descriptive Statistics: Support

Variable

N

Mean

StDev.

Variance

Minimum

Maximum

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992

67.755

26.871

722.036

0.000

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