A survey claims that 9 out of 10 doctors recommend aspirin for their patients with headaches. To test this claim against the alternative that the actual proportion of doctors who recommend aspirin
Is less than 0.90, a random sample of 100 doctors was selected. Suppose that the test statistic is -
2)20. Can you conclude that H0 should be rejected at the (a) $\alpha = 0.10 , \text { (b) } \alpha = 0.05 \text {, and (c) } \alpha$ =
0)01 level of Type I error?
A) (a) yes; (b) yes; (c) yes
B) (a) no; (b) no; (c) no
C) (a) no; (b) no; (c) yes
D) (a) yes; (b) yes; (c) no

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The Answer of A survey claims that 9 out of 10 doctors recommend aspirin for their patients with headaches. To test this claim against the alternative that the actual proportion of doctors who recommend aspirin
Is less than 0.90, a random sample of 100 doctors was selected. Suppose that the test statistic is -
2)20. Can you conclude that H0 should be rejected at the (a) $\alpha = 0.10 , \text { (b) } \alpha = 0.05 \text {, and (c) } \alpha$ =
0)01 level of Type I error?
A) (a) yes; (b) yes; (c) yes
B) (a) no; (b) no; (c) no
C) (a) no; (b) no; (c) yes
D) (a) yes; (b) yes; (c) no

A Survey Claims That 9 Out of 10 Doctors Recommend α=0.10, (b) α=0.05, and (c) α\alpha = 0.10 , \text { (b) } \alpha = 0.05 \text {, and (c) } \alphaα=0.10, (b) α=0.05, and (c) α

A Survey Claims That 9 Out of 10 Doctors Recommend $\alpha = 0.10 , \text { (b) } \alpha = 0.05 \text {, and (c) } \alpha$