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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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