Question

# A statement about a population parameter that is subject to verification is a/an: Probability Density Function...

1. A statement about a population parameter that is subject to verification is a/an:

 Probability Density Function Normal Distribution Hypothesis Critical Value Average Mean

1. The p-value in Hypothesis Testing is:

 The z-score at which you would reject the null hypothesis. the mean plus and minus the standard error. The probability of the sample results if the null hypothesis is true. The difference between the mean and the z-score. The z-critical value based on the confidence level desied.
1. When testing a for a population mean, one would use Student’s t-distribution if:

 The population mean is equal to the sample mean. The sample standard deviation is not known. The significance level is less than 0.05 the significance level is less than 0.05e) the sample size is > 30.

1. Failing to reject the null hypothesis gives:

 The strongest possible evidence the null hypothesis is true Proves the null hypothesis is true Is a weak result meaning we can’t prove the null hypothesis wrong An incorrect result Reason to doubt the statistics behind the test
1. Inferential Statistics are:

 Techniques used to describe the important characteristics of a set of data. A group of techniques to measure the strength of association between two variables. The probabilities based on the assumption we know the number of possible outcomes and that each of the outcomes is equally likely. The occurrence of one event means that none of the other events can occur at the same time. The methods used to estimate a property of a population based on a sample.

A statement about a population parameter that is subject to verification is a/an:

Hypothesis

The p-value in Hypothesis Testing is:

The probability of the sample results if the null hypothesis is true.

When testing a for a population mean, one would use Student’s t-distribution if:

the sample size is > 30.

Failing to reject the null hypothesis gives:

Is a weak result meaning we can’t prove the null hypothesis wrong

Inferential Statistics are:

The methods used to estimate a property of a population based on a sample.

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