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Findings of hypothesis tests do not vary with the significance level you choose, meaning regardless of the alpha level: .10, .05, or .01, our test will have the same conclusion or result. If alpha is greater than the p-value, then we reject the null hypothesis. True The p-value is the probability of the null hypothesis being true. False Hypothesis tests assess the evidence provided by the data and decide between two competing hypotheses (null and alternative) regarding the population parameter. True When the alternative hypothesis is saying that the parameter is not equal to the hypothesized value, we have a two-sided test. When we fail to reject the null hypothesis, we can conclude, "The results of our sample are statistically significant." False

          Findings of hypothesis tests do not vary with the significance level you choose, meaning regardless of the alpha level: .10, .05, or .01, our test will have the same conclusion or result.

If alpha is greater than the p-value, then we reject the null hypothesis.
True

The p-value is the probability of the null hypothesis being true. False

Hypothesis tests assess the evidence provided by the data and decide between two competing hypotheses (null and alternative) regarding the population parameter.
True

When the alternative hypothesis is saying that the parameter is not equal to the hypothesized value, we have a two-sided test.

When we fail to reject the null hypothesis, we can conclude, "The results of our sample are statistically significant." False

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Findings of hypothesis tests do not vary with the significance level you choose, meaning regardless of the alpha level: .10, .05, or .01, our test will have the same conclusion or result.

If alpha is greater than the p-value, then we reject the null hypothesis.
True

The p-value is the probability of the null hypothesis being true. False

Hypothesis tests assess the evidence provided by the data and decide between two competing hypotheses (null and alternative) regarding the population parameter.
True

When the alternative hypothesis is saying that the parameter is not equal to the hypothesized value, we have a two-sided test.

When we fail to reject the null hypothesis, we can conclude, "The results of our sample are statistically significant." False

Added by Alyssa G.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

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Solved by Expert Gershon Kwame Mantey

06/12/2022

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10, .05, or .01), the test will not have the same conclusion or result. Step 2: If alpha is greater than the p-value, then we reject the null hypothesis. This statement is true because if the significance level (alpha) is greater than the p-value, it means that Show more…

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Findings of hypothesis tests do not vary with the significance level you choose, meaning regardless of the alpha level: .10, .05, or .01, our test will have the same conclusion or result. If alpha is greater than the p-value, then we reject the null hypothesis. The p-value is the probability of the null hypothesis being true. Hypothesis tests assess the evidence provided by the data and decide between two competing hypotheses (null and alternative) regarding the population parameter. When the alternative hypothesis is saying that the parameter is not equal to the hypothesized value, we have a two-sided test. When we fail to reject the null hypothesis, we can conclude, "The results of our sample are statistically significant."

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Transcript

00:01 Now in this video we have quite some multiple choices and some number of questions to answer.

00:08 In the first question, we are asked, we are told whether it is true or false that finding the hypothesis tests do not vary with a significant level you choose, meaning that regardless of the alpha level, and we're giving some alpha levels, our test will be, will have the same conclusion or results.

00:31 Now what we can do to answer this question first of all is if we are giving alpha level of let me write my alpha level.

00:40 We are giving alpha level of 0 .10.

00:45 What will be your z your z score? your z will be equal to what? 1 .65.

00:52 What about alpha level of 0 .05? we'll get your z your z will be 0 .96 then for alpha level 0 .01 you find out that your z also will be 2 .58 so you can see that the z critical values are all not the same the z critical values are not the same for all the different significant levels we are given.

01:31 Therefore, it is never true that your result will be the same.

01:35 So you should choose the option.

01:38 You should choose false.

01:40 It is never true.

01:42 False.

01:42 That is the first one.

01:44 In the second question, the second set of question, we are told if alpha is greater than the p -value, then we reject the null hypothesis.

01:54 If alpha is greater than p -value, we reject the null hypothesis.

02:00 Then we reject the null hypothesis.

02:04 All right.

02:05 So let's also diagnose that one and see the conclusion we will make.

02:10 Now, in the second question, we are told if alpha is greater than the p value, then we reject the null hypothesis...

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