(2) Choose the one alternative that best completes the statement or answers the question. Assume two independent random samples are available which provide sample proportions. For the first sample assume n₁ = 100 and x₁= 39. For the second sample, assum n₂= 100 and x₂= 49. Test the null hypothesis that the population proportions are equal versus the alternative hypothesis that the proportions are not equal at the 90% confidence level. Frame the test statistic by subtracting the proportion for population 1 from that for population 2. Picl an appropriate z value, p-value and conclusion. Round your answer to the nearest thousandth. Note that this is a two- tailed test. z-value = -1.425 p-value= 0.077 statistically significant z-value = 1.425 p-value= 0.077 statistically significant z-value = -1.425 p-value= 0.077 not statistically significant z-value = 1.425 p-value= 0.154 statistically not significant

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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(2) Choose the one alternative that best completes the
statement or answers the question.
Assume two independent random samples are available
which provide sample proportions. For the first sample
assume n₁ = 100 and x₁= 39. For the second sample, assume
n₂= 100 and x₂= 49. Test the null hypothesis that the
population proportions are equal versus the alternative
hypothesis that the proportions are not equal at the 90%
confidence level. Frame the test statistic by subtracting the
proportion for population 1 from that for population 2. Pick
an appropriate z value, p-value and conclusion. Round your
answer to the nearest thousandth. Note that this is a two-
tailed test.
z-value = -1.425 p-value= 0.077 statistically significant
z-value = 1.425 p-value= 0.077 statistically significant
z-value = -1.425 p-value= 0.077 not statistically significant
z-value = 1.425 p-value= 0.154 statistically not significant
Transcribed Image Text:(2) Choose the one alternative that best completes the statement or answers the question. Assume two independent random samples are available which provide sample proportions. For the first sample assume n₁ = 100 and x₁= 39. For the second sample, assume n₂= 100 and x₂= 49. Test the null hypothesis that the population proportions are equal versus the alternative hypothesis that the proportions are not equal at the 90% confidence level. Frame the test statistic by subtracting the proportion for population 1 from that for population 2. Pick an appropriate z value, p-value and conclusion. Round your answer to the nearest thousandth. Note that this is a two- tailed test. z-value = -1.425 p-value= 0.077 statistically significant z-value = 1.425 p-value= 0.077 statistically significant z-value = -1.425 p-value= 0.077 not statistically significant z-value = 1.425 p-value= 0.154 statistically not significant
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