When we conclude that an experiment does not provide sufficient evidence to reject the null hypothesis when,in fact,an independent variable does produce an effect,the inferential statistics problem is called a
A) no-confidence interval.
B) probability error.
C) Type I error.
D) Type II error.
Correct Answer:
Verified
Q49: A researcher computes a .95 confidence interval
Q50: The statistical tool that is used to
Q51: Which of the following is a measure
Q52: The researcher should
A)reject the null hypothesis of
Q53: When the results on an experiment are
Q55: A Type I error occurs when the
Q56: Which of the following is not an
Q57: .Which of the following best describes the
Q58: Our ability to draw appropriate conclusions based
Q59: A statistically significant outcome is an outcome
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