What is the requirement for the sample size of each sample when using the Wilcoxon rank sum test?
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- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 56m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 17m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - ExcelBonus23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - ExcelBonus28m
- Confidence Intervals for Population Means - ExcelBonus25m
- 8. Sampling Distributions & Confidence Intervals: Proportion2h 10m
- 9. Hypothesis Testing for One Sample5h 8m
- Steps in Hypothesis Testing1h 6m
- Performing Hypothesis Tests: Means1h 4m
- Hypothesis Testing: Means - ExcelBonus42m
- Performing Hypothesis Tests: Proportions37m
- Hypothesis Testing: Proportions - ExcelBonus27m
- Performing Hypothesis Tests: Variance12m
- Critical Values and Rejection Regions28m
- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors16m
- 10. Hypothesis Testing for Two Samples5h 37m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - ExcelBonus28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - ExcelBonus12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - ExcelBonus9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - ExcelBonus21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - ExcelBonus12m
- Two Variances and F Distribution29m
- Two Variances - Graphing CalculatorBonus16m
- 11. Correlation1h 24m
- 12. Regression3h 33m
- Linear Regression & Least Squares Method26m
- Residuals12m
- Coefficient of Determination12m
- Regression Line Equation and Coefficient of Determination - ExcelBonus8m
- Finding Residuals and Creating Residual Plots - ExcelBonus11m
- Inferences for Slope31m
- Enabling Data Analysis ToolpakBonus1m
- Regression Readout of the Data Analysis Toolpak - ExcelBonus21m
- Prediction Intervals13m
- Prediction Intervals - ExcelBonus19m
- Multiple Regression - ExcelBonus29m
- Quadratic Regression15m
- Quadratic Regression - ExcelBonus10m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA2h 29m
10. Hypothesis Testing for Two Samples
Two Means - Unknown, Unequal Variance
Problem 11.RS.2c
Textbook Question
In a recent year, according to the Bureau of Labor Statistics, the median number of years that wage and salary employees had been with their current employer (called employee tenure) was 4.1 years. Information on employee tenure has been gathered since 1996 using the Current Population Survey (CPS), a monthly survey of about 60,000 households that provides information on employment, unemployment, earnings, demographics, and other characteristics of the U.S. population ages 16 and over. With respect to employee tenure, the questions measure how long employees have been with their current employers, not how long they plan to stay with their employers.
A congressional representative claims that the median tenure for employees from the representative’s district is less than the national median tenure of 4.1 years. The claim is based on the representative’s data, which is shown in the table at the right above. (Assume that the employees were randomly selected.)

c. State the null hypothesis and the alternative hypothesis.
Verified step by step guidance1
Step 1: Understand the context of the problem. The congressional representative claims that the median tenure for employees in their district is less than the national median tenure of 4.1 years. This is a hypothesis testing problem where we need to define the null and alternative hypotheses.
Step 2: Define the null hypothesis (H₀). The null hypothesis represents the status quo or no effect. In this case, H₀: The median tenure for employees in the representative’s district is equal to or greater than the national median tenure of 4.1 years.
Step 3: Define the alternative hypothesis (H₁). The alternative hypothesis represents the claim being tested. In this case, H₁: The median tenure for employees in the representative’s district is less than the national median tenure of 4.1 years.
Step 4: Express the hypotheses mathematically. Using statistical notation: H₀: Median tenure ≥ 4.1 years, H₁: Median tenure < 4.1 years.
Step 5: Note that this is a one-tailed test because the claim specifically states 'less than' the national median tenure. This directionality is important for determining the critical region in hypothesis testing.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Null Hypothesis (H0)
The null hypothesis is a statement that indicates no effect or no difference, serving as a default position in hypothesis testing. In this context, it posits that the median employee tenure in the congressional representative's district is equal to the national median of 4.1 years. It is denoted as H0: μ = 4.1, where μ represents the median tenure of employees in the district.
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Step 1: Write Hypotheses
Alternative Hypothesis (H1)
The alternative hypothesis is a statement that contradicts the null hypothesis, suggesting that there is an effect or a difference. For this scenario, it claims that the median tenure in the representative's district is less than the national median, expressed as H1: μ < 4.1. This hypothesis is what the representative aims to support with their data.
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Step 1: Write Hypotheses
Median
The median is a measure of central tendency that represents the middle value in a data set when it is ordered from least to greatest. It is particularly useful in skewed distributions, as it is less affected by extreme values than the mean. In this case, the median tenure of 4.1 years provides a benchmark for comparing the tenure of employees in the representative's district.
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Calculating the Median
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