A random sample of n = 1,400 observations from a binomial population produced x = 252.
(a) If your research hypothesis is that p differs from 0.2, what hypotheses should you test?
H0: p = 0.2 versus Ha: p > 0.2
H0: p = 0.2 versus Ha: p ≠ 0.2
H0: p = 0.2 versus Ha: p < 0.2
H0: p < 0.2 versus Ha: p > 0.2
H0: p ≠ 0.2 versus Ha: p = 0.2
(b) Calculate the test statistic and its p-value. (Round
your test statistic to two decimal places and your p-value
to four decimal places.)
z | = |
p-value | = |
Use the p-value to evaluate the statistical significance
of the results at the 1% level.
H0 is not rejected since the p-value is not less than 0.01.
H0 is rejected since the p-value is less than 0.01.
H0 is rejected since the p-value is not less than 0.01.
H0 is not rejected since the p-value is less than 0.01.
(c) Do the data provide sufficient evidence to indicate that
p is different from 0.2?
Yes, the data provide sufficient evidence to indicate that p is different from 0.2.
No, the data do not provide sufficient evidence to indicate that p is different from 0.2.
You may need to use the appropriate appendix table or technology to answer this question.
The statistic software output for this problem is:
H0 : p = 0.2
HA : p ≠ 0.2
z = -1.87
P-value = 0.0614
H0 is not rejected since the p-value is not less than 0.01.
No, the data do not provide sufficient evidence to indicate that p is different from 0.2
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