Scientists at a pharmaceutical company want to compare their new drug to an existing one. Let's call the new drug A and the old drug B. In a random sample of 120 subjects who took drug A, 40% developed sever side effects. Whereas, in a random sample of 100 subjects who took drug B, 45% developed severe side effects. These scientists are interested to see if there is significant evidence that their new drug reduces severe side effects in patients the a = 0.05 significance level. What is the test statistic for this test? (P1-P2)-0 0.4-0.45 -0.748146 0.45(100)+0.4(120) 0.45(100)+0.4(120) 120+100 (뿌+뿌) 120+100 100 (P1-ê2)–0 0.4–0.45 = -0.747435 P141 , P242 +. 0.4(0.6) 0.45(0.56) 120 100 0.4–0.45 -0.748146 0.45(100)+0.4(120) 0.45(100)+0.4(120) 120+100 120+100 (부·뿌)(글 (P1-P2)-0 0.4-0.45 2 = -0.747435 P191 P292 0.4(0.6) 0.45(0.55) +. 120 100
Scientists at a pharmaceutical company want to compare their new drug to an existing one. Let's call the new drug A and the old drug B. In a random sample of 120 subjects who took drug A, 40% developed sever side effects. Whereas, in a random sample of 100 subjects who took drug B, 45% developed severe side effects. These scientists are interested to see if there is significant evidence that their new drug reduces severe side effects in patients the a = 0.05 significance level. What is the test statistic for this test? (P1-P2)-0 0.4-0.45 -0.748146 0.45(100)+0.4(120) 0.45(100)+0.4(120) 120+100 (뿌+뿌) 120+100 100 (P1-ê2)–0 0.4–0.45 = -0.747435 P141 , P242 +. 0.4(0.6) 0.45(0.56) 120 100 0.4–0.45 -0.748146 0.45(100)+0.4(120) 0.45(100)+0.4(120) 120+100 120+100 (부·뿌)(글 (P1-P2)-0 0.4-0.45 2 = -0.747435 P191 P292 0.4(0.6) 0.45(0.55) +. 120 100
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
Transcribed Image Text:Scientists at a pharmaceutical company want to compare their new drug to an existing one. Let's call the
new drug A and the old drug B. In a random sample of 120 subjects who took drug A, 40% developed sever
side effects. Whereas, in a random sample of 100 subjects who took drug B, 45% developed severe side
effects. These scientists are interested to see if there is significant evidence that their new drug reduces
severe side effects in patients the a = 0.05 significance level.
What is the test statistic for this test?
(P1-P2)-0
0.4-0.45
-0.748146
0.45(100)+0.4(120)
0.45(100)+0.4(120)
120+100
(뿌+뿌)
120+100
100
(P1-ê2)–0
0.4–0.45
= -0.747435
P141 , P242
+.
0.4(0.6) 0.45(0.56)
120
100
0.4–0.45
-0.748146
0.45(100)+0.4(120)
0.45(100)+0.4(120)
120+100
120+100
(부·뿌)(글
(P1-P2)-0
0.4-0.45
2 =
-0.747435
P191
P292
0.4(0.6)
0.45(0.55)
+.
120
100
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