Question
In: Statistics and Probability
person weight before diet weight after diet 1 68 64 2 88 86 3 85 83...
| person | weight before diet | weight after diet |
| 1 | 68 | 64 |
| 2 | 88 | 86 |
| 3 | 85 | 83 |
| 4 | 89 | 86 |
| 5 | 92 | 90 |
The weights of a random sample of 5 people are recorded before they are introduced to the liquid protein diet (a new weight-reducing technique). Then they were instructed to follow the liquid protein diet for 3 weeks. At the end of this period, their weights (in kilograms) are again recorded. Results are given in the table: Person Weight before diet Weight after diet 1 68 64 2 88 86 3 85 83 4 89 86 5 92 90 a) Test to determine if the diet is effective at reducing weight. Use α=0 .1 . (You can use SPSS for this task.) b) Report p-value of your test. Interpret the results by using the obtained p-value.
Solutions
orchestra answered 1 year agoRelated Solutions
The following table lists the weight of individuals before and after taking a diet prescribed by...
The following table lists the weight of individuals before and
after taking a diet prescribed by a weight-loss company for a
month:
Weight-loss Data
Individual
Weight Before
(lb)
Weight After
(lb)
Weight Loss
(lb)
A
126.8
127
-0.2
B
127.4
127.2
0.2
C
130.5
130.5
0.0
D
189.8
190.2
-0.4
E
141.5
141.1
0.4
F
159.2
159.2
0.0
You may find this Student's t distribution table useful in
answering the following questions. You may assume that the
differences in weight...
The following table lists the weight of individuals before and after taking a diet prescribed by...
The following table lists the weight of individuals before and
after taking a diet prescribed by a weight-loss company for a
month:
Weight-loss Data:
Individual: A, B, C, D, E, F
Weight Before (lb): 123.7, 128.7, 135.6, 194.9, 145.5, 162.3
Weight After (lb): 109.4, 109.7, 123.3, 186.5, 126.8, 151.5
Weight loss (lb): 14.3, 19.0, 12.3, 8.4, 18.7, 10.8
You may find this Student's t distribution table useful in
answering the following questions. You may assume that the
differences in weight...
Exam 1 Scores 91, 83, 75, 85, 90, 80, 67, 82, 88, 87, 95, 91, 73,...
Exam 1 Scores
91, 83, 75, 85, 90, 80, 67, 82, 88, 87, 95, 91, 73, 80, 83, 92,
94, 68, 75, 91, 79, 95, 87, 76, 91, 85, 59, 70, 69, 78
Dummy: 0, 0
What are the Hypothesis Statement?
What is Ho?
What is Ha?
What is the P-Value?
What is the Claim?
What is the Decision Rule? (Hint: Do you reject or fail to
reject the null hypothesis?)
What is the Level of Significance? (Hint: α)
What...
Performance Data Group Test 1 Test 2 1 96 85 1 96 88 1 91 81...
Performance Data
Group
Test 1
Test 2
1
96
85
1
96
88
1
91
81
1
95
78
1
92
85
1
93
87
1
98
84
1
92
82
1
97
89
1
95
96
1
99
93
1
89
90
1
94
90
1
92
94
1
94
84
1
90
92
1
91
70
1
90
81
1
86
81
1
90
76
1
91
79
1
88
83
1
87
82
0
93
74
0...
Ovservation Portland Houston Jacksonville 1 85 71 64 2 75 75 69 ...
Ovservation Portland
Houston Jacksonville
1 85 71 64
2 75 75 69
3 82 73 67
4 76 74 74
5 71 69 80
6 85 82 72
National Bearings manufactures bearings at plants located in
Portland Oregon, Houston Texas, and Jacksonville Florida. To
measure employee knowledge of Total Quality Management (TQM), six
employees were randomly selected at each plant and tested. The test
scores for these employees are given in DATA. Managers want...
Individuals Beak length (cm) Body weight (kg) 1 10 50 2 7 39 3 15 68...
Individuals
Beak length (cm)
Body weight (kg)
1
10
50
2
7
39
3
15
68
4
11
47
5
12
42
You rear 5 emperor penguins in your backyard. You want to
characterize the variation and the relationship between beak length
(cm) and body weight (kg) for these 5 emperor penguins
A. Calculate the correlation coefficient between beak length and
body weight in this population.
B. Calculate the regression coefficient for predicting body
weight from beak length in this...
Person 1 Person 2 Person 3 Person 4 Person 5 Person 6 Person 7 Person 8...
Person 1
Person 2
Person 3
Person 4
Person 5
Person 6
Person 7
Person 8
Person 9
Height
(inches)
60 inches
67 inches
70 inches
65 inches
72 inches
64 inches
70 inches
71 inches
59 inches
Weight (Ibs)
120 lbs
150 lbs
180 lbs
125 lbs
200 lbs
130 lbs
170 lbs
180 lbs
100 lbs
1. Construct a confidence interval to estimate the mean height
and the mean weight.
a. find the sample mean and the sample...
Person Height Weight 1 60 114 2 60 60 3 61 200 4 62 240 5...
Person
Height
Weight
1
60
114
2
60
60
3
61
200
4
62
240
5
63
133
6
63
220
7
64
104
8
65
135
9
65
120
10
65
123
11
66
113
12
66
205
13
66
54
14
67
170
15
67
186
16
67
198
17
67
132
18
68
142
19
69
150
20
69
188
21
70
199
22
70
201
23
70
106
24
71
112
25
71
115
26
72...
2. Restaurant Population Sales 1 2 58 2 6 105 3 8 88 4 8 118...
2.
Restaurant
Population
Sales
1
2
58
2
6
105
3
8
88
4
8
118
5
12
117
6
16
137
7
20
157
8
20
169
9
22
149
10
26
202
Draw a graph and find the equation of linear regression.
Use Excel to generate ANOVA table and confirm the linear regression
equation.
Pat.# Before After 1 195 125 IN EXCEL To the left is 2 datasets measured for...
Pat.#
Before
After
1
195
125
IN EXCEL To the left
is 2 datasets measured for a sample of 107 patients with high
colestrol level before and after taking medication. Obatin the
following for both sets:
2
208
164
3
254
152
1- the mean, mode and median
4
226
144
5
290
212
2- the variance and standard
deviation
6
239
171
7
216
164
3- First, second and third
quartiles
8
286
200
9
243
190
10
217...
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