The probability value, or p-value, is an important value generated by a variety of statistical analyses. Select all of the following that are true when considering a p-value: a. The p-value is the probability that both the null hypothesis and the observed data are both true at the same time b. A high p-value, say p = 0.40, means is it highly unlikely that the null hypothesis and the observed data are both true. c. A high p-value, say p = 0.40, means is it highly likely that the null hypothesis and the observed data are both true. ✓d. When the p-value is greater than alpha (p>0.05), we fail to reject the null hypothesis. The observed data do match our expectations. e. When the p-value is less than alpha (p < 0.05), we reject the null hypothesis. The observed data do not match our expectations.

MATLAB: An Introduction with Applications
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The probability value, or p-value, is an important value generated by a variety of statistical analyses.
Select all of the following that are true when considering a p-value:
a. The p-value is the probability that both the null hypothesis and the observed data are both true at
the same time
b. A high p-value, say p = 0.40, means is it highly unlikely that the null hypothesis and the
observed data are both true.
c. A high p-value, say p = 0.40, means is it highly likely that the null hypothesis and the observed
data are both true.
d. When the p-value is greater than alpha (p>0.05), we fail to reject the null hypothesis. The
observed data do match our expectations.
e. When the p-value is less than alpha (p < 0.05), we reject the null hypothesis. The observed
data do not match our expectations.
Transcribed Image Text:The probability value, or p-value, is an important value generated by a variety of statistical analyses. Select all of the following that are true when considering a p-value: a. The p-value is the probability that both the null hypothesis and the observed data are both true at the same time b. A high p-value, say p = 0.40, means is it highly unlikely that the null hypothesis and the observed data are both true. c. A high p-value, say p = 0.40, means is it highly likely that the null hypothesis and the observed data are both true. d. When the p-value is greater than alpha (p>0.05), we fail to reject the null hypothesis. The observed data do match our expectations. e. When the p-value is less than alpha (p < 0.05), we reject the null hypothesis. The observed data do not match our expectations.
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