use the info uploaded to determine: a) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level ?? At the ? = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant. At the ? = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant. At the ? = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant. At the ? = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant. b) Interpret your conclusion in the context of the application. Reject the null hypothesis, there is sufficient evidence that the mean rate of hay fever is lower for the age group over 50. Reject the null hypothesis, there is insufficient evidence that the mean rate of hay fever is lower for the age group over 50. Fail to reject the null hypothesis, there is sufficient evidence that the mean rate of hay fever is lower for the age group over 50. Fail to reject the null hypothesis, there is insufficient evidence that the mean rate of hay fever is lower for the age group over 50.
use the info uploaded to determine:
a) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level ??
At the ? = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant.
At the ? = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant.
At the ? = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.
At the ? = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.
b) Interpret your conclusion in the context of the application.
Reject the null hypothesis, there is sufficient evidence that the
Reject the null hypothesis, there is insufficient evidence that the mean rate of hay fever is lower for the age group over 50.
Fail to reject the null hypothesis, there is sufficient evidence that the mean rate of hay fever is lower for the age group over 50.
Fail to reject the null hypothesis, there is insufficient evidence that the mean rate of hay fever is lower for the age group over 50.
In order to determine whether the mean rate of hay fever for the age group over 50 is significantly lower than that for the age group under 25, conduct a two mean comparison hypotheses test.
The hypothesis test will contain two hypotheses: the null hypothesis and the alternate hypothesis. The alternate hypothesis is about the claim which is to be tested. If p-value<α, where, α is significance level, then the null hypothesis can be rejected and it can be concluded that the test is significant.
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