Question

In: Statistics and Probability

A team of researchers wanted to assess the effectiveness of the 4 components of a weight...

A team of researchers wanted to assess the effectiveness of the 4 components of a weight loss program by comparing the distribution of weight status across 4 different treatment groups. The data is summarized in the table below:

Weight Status

Intervention Component

Normal Weight

Overweight

Obese

Control Group (n=100)

50

35

15

Calorie Counting (n=100)

70

20

10

Physical Activity (n=100)

73

15

12

Combination (n=100)

80

15

5

Is there a difference in weight status by intervention component? (Hint: Are intervention component and weight status independent?) Run the appropriate test at a 5% level of significance.

  1. Compute the test statistic and indicate the outcome: (7.5pts)
  1. 24.974
  2. 0.428
  3. 5.227
  4. 11.73
  5. Some other answer; indicate:

  1. True or false: We DO NOT have statistically significant evidence at α=0.05 to show that intervention component and weight status are not independent. (1pt)
  1. True
  2. False

  1. Indicate the most accurate p-value associated with the above-mentioned conclusion: (1pt)
  1. p = not significant
  2. p = 0.01
  3. p = 0.005
  4. p < 0.005
  5. Some other answer; indicate:

Solutions

Expert Solution

Intervention Component Normal Weight Overweight Obese Total
Control Group (n=100) 50 35 15 100
Calorie Counting (n=100) 70 20 10 100
Physical Activity (n=100) 73 15 12 100
Combination (n=100) 80 15 5 100
Total 273 85 42 400

Null hypothesis : Ho : intervention component and weight status are independent

Alternate Hypothesis : Ha : intervention component and weight status are not independent

Test Statistic :

O : Observed Frequency

E: Expected Frequency

E :

Intervention Component Normal Weight Overweight Obese Total
Control Group (n=100) (100*273)/400 (100*85)/400 (100*42)/400 100
Calorie Counting (n=100) (100*273)/400 (100*85)/400 (100*42)/400 100
Physical Activity (n=100) (100*273)/400 (100*85)/400 (100*42)/400 100
Combination (n=100) (100*273)/400 (100*85)/400 (100*42)/400 100
Total 273 85 42 400
Intervention Component Normal Weight Overweight Obese Total
Control Group (n=100) 68.25 21.25 10.5 100
Calorie Counting (n=100) 68.25 21.25 10.5 100
Physical Activity (n=100) 68.25 21.25 10.5 100
Combination (n=100) 68.25 21.25 10.5 100
Total 273 85 42 400
O E (O-E) (O-E)2 (O-E)2/E
50 68.25 -18.25 333.063 4.88
70 68.25 1.75 3.0625 0.0449
73 68.25 4.75 22.5625 0.3306
80 68.25 11.75 138.063 2.0229
35 21.25 13.75 189.063 8.8971
20 21.25 -1.25 1.5625 0.0735
15 21.25 -6.25 39.0625 1.8382
15 21.25 -6.25 39.0625 1.8382
15 10.5 4.5 20.25 1.9286
10 10.5 -0.5 0.25 0.0238
12 10.5 1.5 2.25 0.2143
5 10.5 -5.5 30.25 2.881
Total 24.974

Compute the test statistic and indicate the outcome:

Ans : a. 24.974

Degrees of freedom =(Number of rows -1)(Number of columns -1) = (4-1)(3-1) = 3*2=6

p-value:

: 0.05

As p-value : 0.0000 less than the level of significance (0.05) Reject null hypothesis.;

Statistically significant evidence that intervention component and weight status are not independent.

We DO NOT have statistically significant evidence at α=0.05 to show that intervention component and weight status are not independent.

Ans:

a. True

p-value = 0.000

Most accurate p-value :

d. p < 0.005

even a p = not significant is also correct


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