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    Descriptive Statistics, CI, and Hypothesis Test

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    [See attached data file.]

    1. Use descriptive statistics to summarize the data. Your descriptive statistics should include the following items with a short explanation of what each means:

    Mean
    Standard Error
    Median
    Mode
    Standard Deviation
    Sample Variance
    Kurtosis
    Skewness
    Range
    Minimum
    Maximum
    Sum
    Count

    2. Develop a 95% confidence interval estimate of the mean age of the unemployed individuals in Philadelphia. Also, what does the interval mean?

    3. Develop a null hypothesis and an alternative hypothesis. Conduct a hypothesis test to determine whether the mean duration of unemployment in Philadelphia is greater than the national mean duration of 14.6 weeks. Use a .01 level of significance. What does the outcome mean?

    4. Is there a relationship between the age of an unemployed individual and the number of weeks of unemployment? Why or why not?

    5. Please help write a conclusion that addresses your findings from questions 1-4. In other words, based on your analysis prompted by questions 1-4, what can you determine from the data and your analysis?

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    https://brainmass.com/statistics/descriptive-statistics/descriptive-statistics-ci-and-hypothesis-test-347134

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