(a) In formulating hypotheses for a statistical test of significance, the null hypothesis is oftenA. the probability of observing the data you actually obtainedB. a statement that the data are all 0.C. a statement of ''no effect'' or ''no difference''.D. 0.05(b) In testing hypotheses, which of the following would be strong evidence against the null hypothesis?A. Using a small level of significance.B. Obtaining data with a large P -value.C. Obtaining data with a small P -value.D. Using a large level of significance.(c) The P -value of a test of a null hypothesis isA. the probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed.B. the probability the null hypothesis is false.C. the probability the null hypothesis is true.D. the probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed.

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(a) In formulating hypotheses for a statistical test of significance, the null hypothesis is oftenA. the probability of observing the data you actually obtainedB. a statement that the data are all 0.C. a statement of &#039;&#039;no effect&#039;&#039; or &#039;&#039;no difference&#039;&#039;.D. 0.05(b) In testing hypotheses, which of the following would be strong evidence against the null hypothesis?A. Using a small level of significance.B. Obtaining data with a large P -value.C. Obtaining data with a small P -value.D. Using a large level of significance.(c) The P -value of a test of a null hypothesis isA. the probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed.B. the probability the null hypothesis is false.C. the probability the null hypothesis is true.D. the probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed.

meizhen85ulg · Accepted Answer

(a)In hypothesis testing the for statistical significance test, the null hypothesis is the statement which states that there is no effect of the treatment or there is no significance difference.Correct answer: Option C. a statement of &#039;&#039;no effect&#039;&#039; or &#039;&#039;no difference&#039;&#039;(b)When the level of significance is increased there would be a strong evidence against the null hypothesis because the null hypothesis is rejected in p-value is less than significance level.Correct answer: Option D. Using a large level of significance.

Elodie Williamson · Accepted Answer

(c)The p-value of the hypothesis is likelihood that the test statistic that would take a value at least as extreme as that actually observed assuming that the null hypothesis is true.Correct answer: Option D. the probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed.

(a) In formulating hypotheses for a statistical test of significance, the null hypothesis is often N

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