Please define the two definitions: 1. The level of significance needed to reject the null hypothesis. It is the maximum allowable probability of false negative, where the null hypothesis is rejected when it is in fact true. 2. This value is set by the investigator of the hypotheses. For example, if you want to be 95% confident in your statistical conclusions, you have a level of significance of 5%. A speculated value for the population average used in the null hypothesis. In a one-sample t-test this is the benchmark value that the sample mean is compared against.

Q: I’m testing the claim that a population exceeds .62, the null hypothesis is H0, what is it?

A: H0 = Null Hypothesis H1 = Alternative Hypothesis

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Q: If we do not reject the null hypothesis, can we claim to have proven that the null hypothesis is…

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Q: In statistics why can't we accept the null hypothesis?

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Q: Consider the following scenario: The statistical power is 20% The significance level is 5% Of all…

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A:

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Q: when we will be reject the NULL HYPOTHESIS on the basis of

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A:

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Q: Which of the following is NOT true when we increase the significance level of a hypothesis test?…

A:

Q: The probability of rejecting a true null hypothesis is referred to as a Type II error. Select one: O…

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Q: Match the following steps in hypothesis testing. - ✓ Step 1 -Step 2 Step 3 Step 4 -✓ Step 5 Step 6…

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A: Significance level is increasedAnswer and expaination is provided below

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A: Decision : Reject the null hypothesis.

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Q: Suppose you want to test the claim that a population mean equals 38.  State the null hypothesis.

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A:

Q: Suppose you conduct 17 independent hypothesis tests each at the 8% significance level. Assume that…

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A:

Q: State, with reasons, which of the standard distributions might serve as models for: i. The number of…

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Q: A running shoe manufacturer believes that its supply of faulty running shoes is less than 0.03, the…

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