Question: In a hypothesis test, a Type I error occurs when: a true null hypothesis is not rejected a false null hypothesis is not rejected a

In a hypothesis test, a Type I error occurs when:

  • a true null hypothesis is not rejected
  • a false null hypothesis is not rejected
  • a false null hypothesis is rejected
  • a true null hypothesis is rejected

A quantitative variable is the only type of variable that can:

  • be used to prepare tables
  • assume numeric values for which arithmetic operations make sense
  • have no intermediate values
  • be graphed

The mean of a discrete random variable is its:

  • box-and-whisker measure
  • upper hinge
  • expected value
  • second quartile

For a one-tailed test, thep-value is:

  • twice the area under the curve between the mean and the observed value of the sample statistic
  • the area under the curve between the mean and the observed value of the sample statistic
  • the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis
  • twice the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis

In a one-way ANOVA, we analyze only one:

  • mean
  • population
  • sample
  • variable

The alternative hypothesis is a claim about a:

  • parameter, where the claim is assumed to be true if the null hypothesis is declared false
  • statistic, where the claim is assumed to be true if the null hypothesis is declared false
  • statistic, where the claim is assumed to be false until it is declared true
  • parameter, where the claim is assumed to be true until it is declared false

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