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When a null hypothesis is rejected at some predetermined p level, sampling error is an unlikely explanation of
the results, given that the null hypothesis is true.
When a p-value shows significance, managerial and practical significance can be assumed.
The probability that the research hypothesis is true is equal to 1 minus the p-value.
A p-value represents the probability that the results occurred because of sampling error.
When a null hypothesis is rejected at some predetermined p level, sampling error
is an unlikely explanation of the results, given that the null hypothesis is true. See
17–3: Hypothesis Testing.
17.05 – Overview the basic purpose of hypothesis testing.
45. Which of the following statements about hypothesis testing is NOT true?
It is a means for establishing standards for making decisions about whether to accept sample results as valid
for the overall population.
It applies to both univariate and multivariate analyses.
It lets a researcher know with certainty that a sample result is true for the population.
It is generally what marketers begin with when preparing to launch a research study.
All of these are correct.
All of the statements are true except that it lets a researcher know with certainty
that a sample result is true for the population. See 17–3: Hypothesis Testing.
17.05 – Overview the basic purpose of hypothesis testing.
46. When a sample mean is compared against a standard for a large sample, which statistic is calculated?
z is calculated. See 17–2: Basic Univariate Statistics: Continuous Measures.