Given info:

The data shows the employee tenure for a sample of male workers and female workers.

Calculation:

The procedures to test the representative claim are given below:

Step 1: Identify the claim and state the null and alternative hypotheses.

Step 2: Identify the level of significance and find the critical values and rejection regions.

Step 3: Obtain the test statistic value.

Step 4: Make decisions about deciding whether to reject or fail to reject the null hypothesis

Step 5: Interpret the decision in the context of the original claim.

Nonparametric tests:

When the distribution of the population is not known or when the population distribution does not follow the normality, then the non-parametric statistical tests are used to test the population parameters.

Parametric tests:

When the distribution of the population is known or when the population distribution followthe normality, then the parametric statistical tests are used to test the population parameters.

The nonparametric tests are used for testing the median, the relation between the variables,and the randomness along with Spearman rank correlation coefficient and the parametric tests are used for testing the mean, proportion, and variance.

Here, the claim is that “there is a difference between the median tenures for male workers and female workers”,

Thus, the nonparametric tests are used for testing the given claim.

The data shows the employee tenure for a sample of male workers and female workers.

Calculation:

The procedures to test the representative claim are given below:

Step 1: Identify the claim and state the null and alternative hypotheses.

Step 2: Identify the level of significance and find the critical values and rejection regions.

Step 3: Obtain the test statistic value.

Step 4: Make decisions about deciding whether to reject or fail to reject the null hypothesis

Step 5: Interpret the decision in the context of the original claim.

Nonparametric tests:

When the distribution of the population is not known or when the population distribution does not follow the normality, then the non-parametric statistical tests are used to test the population parameters.

Parametric tests:

When the distribution of the population is known or when the population distribution followthe normality, then the parametric statistical tests are used to test the population parameters.

The nonparametric tests are used for testing the median, the relation between the variables,and the randomness along with Spearman rank correlation coefficient and the parametric tests are used for testing the mean, proportion, and variance.

Here, the claim is that “there is a difference between the median tenures for male workers and female workers”,

Thus, the nonparametric tests are used for testing the given claim.