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Rejecting the null hypothesis of

Which of the following is an accurate definition of a Type II error?a. rejecting a false null hypothesis b. rejecting a true
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2. asked by Lyndyc
3. 2,196 views
The hypotheses of H0: μ = 5.5 and Ha: μ < 5.5 were to be tested. An equivalent confidence interval was found to be (5.2, 5.9).
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2. 38 views
paraphrase the information given below.Since the calculated P-value of 0.026888 is less compared to the critical value of 0.05,
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2. asked by SHAY YHO
3. 146 views
a)The blank is the probability of erroneously rejecting the null hypothesis.I said level of significance, is that correct?b)If
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2. asked by Labub
3. 1,007 views
Since the calculated P-value of 0.033908 (rows) and 0.038462 (columns) are less compared to the critical value of 0.05, and
1. 1 answer
2. asked by SHAY YHO
3. 107 views
When performing hypothesis tests,small P-values generally support the null hypothesis. P-values are computed assuming the null
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2. 118 views
are the following statements, Ho:=10 and Ha:equal to or less than, a valid pair of null and alternative hypothesis?assume that
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2. asked by Cynthia
3. 821 views
Rejecting the null hypothesis of no linear regression implies that changes in x cause changes in y.True False
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2. asked by Mickie
3. 492 views
Rejecting a correct null hypothesis is a type I error.true or false
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2. 64 views
Why is it important to know the possible errors we might make when rejecting or failing to reject the null hypothesis?
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2. asked by Christine
3. 603 views