Consider the following hypotheses:
H0: p ≥ 0.48
HA: p < 0.48
Compute the p-value based on the following sample information. (You may find it useful to reference the appropriate table: z table or t table) (Round "z" value to 2 decimal places. Round intermediate calculations to at least 4 decimal places and final answers to 4 decimal places.)
p-value | ||||
a. | x = 50; n = 122 | |||
b. | x = 118; n = 329 | |||
c. | p¯p¯ = 0.42; n = 41 | |||
d. | p¯p¯ = 0.42; n = 413 | |||
a)
Test statistic,
z = (pcap - p)/sqrt(p*(1-p)/n)
z = (0.4098 - 0.48)/sqrt(0.48*(1-0.48)/122)
z = -1.55
P-value Approach
P-value = 0.0606
b)
Test statistic,
z = (pcap - p)/sqrt(p*(1-p)/n)
z = (0.3587 - 0.48)/sqrt(0.48*(1-0.48)/329)
z = -4.4
P-value Approach
P-value = 0
.
c)
Test statistic,
z = (pcap - p)/sqrt(p*(1-p)/n)
z = (0.42 - 0.48)/sqrt(0.48*(1-0.48)/41)
z = -0.77
P-value Approach
P-value = 0.2206
d)
Test statistic,
z = (pcap - p)/sqrt(p*(1-p)/n)
z = (0.42 - 0.48)/sqrt(0.48*(1-0.48)/413)
z = -2.44
P-value Approach
P-value = 0.0073
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