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Rejecting a correct null hypothesis is a type I error.
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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asked by
Lyndyc
2,178 views
Rejecting a correct null hypothesis is a type I error.
true or false
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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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asked by
Labub
981 views
When conducting an inferential statistical analysis, and applying a conventional “critical p- value” of .05, the odds of
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asked by
mike
674 views
When conducting an inferential statistical analysis, and applying a conventional "critical p-value" of .05, the odds of making a
2 answers
asked by
Pat
1,278 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).
1 answer
22 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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asked by
SHAY YHO
137 views
A Type I error is
Question 16 options: making a correct decision in a hypothesis test. when a correct null hypothesis is rejected
1 answer
142 views
In hypothesis testing, a Type 2 error occurs when
a. The null hypothesis is rejected when the alternative hypothesis is true. b.
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91 views
Which of the following are true:
I. A null hypothesis is always stated in terms of a sample value. II. Random samples are only
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66 views