The following data was collected from a clinical trial testing a new drug aimed to lower blood pressure for individuals older than age 45. Half of the 20 participants received the new drug (Treatment = Yes) and the other half of the participants received a placebo pill (Treatment = No). Their age and gender was also recorded. Please use this data for Questions 17-19 and 20-24 and note, not all the information in the table will be used for either problem, you must decide what is relevant based on what the problem is asking. Subject ID Treatment Age Gender BP_Before BP_After D1 Yes 65 F 103.3 80.5 D2 Yes 59 F 93.6 85.9 D3 Yes 60 M 92 85.2 D4 Yes 54 F 93 87.8 D5 Yes 65 F 95.4 85.3 D6 Yes 57 M 109.6 94.2 D7 Yes 69 M 97.9 83.9 D8 Yes 62 M 96 85 D9 Yes 49 F 98.4 86.3 D10 Yes 45 M 98.4 90 C1 No 63 F 97.4 93.1 C2 No 56 F 97.2 92.4 C3 No 54 M 98.8 94.6 C4 No 69 M 98.4 92.3 C5 No 75 M 89.8 89.3 C6 No 62 F 103.4 99.7 C7 No 61 F 90.1 88.4 C8 No 59 M 93.7 90.4 C9 No 73 M 96.4 91.1 C10 No 57 F 98.6 90.5 17. Based on the data above. Researchers were interested in examining if there was a significant difference in blood pressure before and after the treatment for only the ten participants who got the new drug (Treatment = Yes). Compute the mean and standard deviation for the sample of difference scores for those who received the new drug (Treatment = Yes). Round to two decimal points. MEAN = ? STANDARD DEVIATION = ?
The following data was collected from a clinical trial testing a new drug aimed to lower blood pressure for individuals older than age 45. Half of the 20 participants received the new drug (Treatment = Yes) and the other half of the participants received a placebo pill (Treatment = No). Their age and gender was also recorded. Please use this data for Questions 17-19 and 20-24 and note, not all the information in the table will be used for either problem, you must decide what is relevant based on what the problem is asking.
|
Subject ID |
Treatment |
Age |
Gender |
BP_Before |
BP_After |
|
D1 |
Yes |
65 |
F |
103.3 |
80.5 |
|
D2 |
Yes |
59 |
F |
93.6 |
85.9 |
|
D3 |
Yes |
60 |
M |
92 |
85.2 |
|
D4 |
Yes |
54 |
F |
93 |
87.8 |
|
D5 |
Yes |
65 |
F |
95.4 |
85.3 |
|
D6 |
Yes |
57 |
M |
109.6 |
94.2 |
|
D7 |
Yes |
69 |
M |
97.9 |
83.9 |
|
D8 |
Yes |
62 |
M |
96 |
85 |
|
D9 |
Yes |
49 |
F |
98.4 |
86.3 |
|
D10 |
Yes |
45 |
M |
98.4 |
90 |
|
C1 |
No |
63 |
F |
97.4 |
93.1 |
|
C2 |
No |
56 |
F |
97.2 |
92.4 |
|
C3 |
No |
54 |
M |
98.8 |
94.6 |
|
C4 |
No |
69 |
M |
98.4 |
92.3 |
|
C5 |
No |
75 |
M |
89.8 |
89.3 |
|
C6 |
No |
62 |
F |
103.4 |
99.7 |
|
C7 |
No |
61 |
F |
90.1 |
88.4 |
|
C8 |
No |
59 |
M |
93.7 |
90.4 |
|
C9 |
No |
73 |
M |
96.4 |
91.1 |
|
C10 |
No |
57 |
F |
98.6 |
90.5 |
17. Based on the data above. Researchers were interested in examining if there was a significant difference in blood pressure before and after the treatment for only the ten participants who got the new drug (Treatment = Yes).
Compute the
MEAN = ?
STANDARD DEVIATION = ?
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