In this activity, you will follow along with a video presenting a one-way Chi-Square Goodness of Fit analysis along with interpretation. You will create your own output and results section for the...

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In this activity, you will follow along with a video presenting a one-way Chi-Square Goodness of Fit analysis along with interpretation. You will create your own output and results section for the displayed analysis. Be sure your results section addresses the following questions/prompts:


  • 1. State your null and alternative hypotheses.

  • 2. Is this a one or two-tailed hypotheses?

  • 3. Calculate the appropriate statistical test. Be sure to include measures of central tendency and variability in your analysis/writeup.

  • 4. Can you reject the null hypothesis? Why or why not?

  • 5. Include the descriptive statistics, type of statistical test, and results of the tests, with effect sizes and confidence intervals.
  • Answered 7 days AfterJun 20, 2021

    Answer To: In this activity, you will follow along with a video presenting a one-way Chi-Square Goodness of Fit...

    Subhanbasha answered on Jun 28 2021
    144 Votes
    Analysis-Report
        The data set is about the data of building permits to the little pigs that is for 70 little p
    igs. That here we get the data about the building houses for the pigs and need to check whether the pattern exist or not of the constructing of houses to the pigs. There are three types of houses that are Straw, Sticks and Brick and Mortar. We have given the sample of data which describes that how many pigs belong to the type of house.
    1.
    Null Hypothesis (H0): There is no significance difference between the houses where the pigs building houses.
                    (OR)
    The housing material is needs to be give equally to build houses.
    Alternative Hypothesis (Ha): There is a significance difference between the houses where the pigs building houses.
    (OR)
    The housing material is no needs to be give equally to build houses.
    2.
    This test is two tail test because of there we are checking on both side of the distribution rather than the one side. We are checking here that they are equal or not and not comparing the values.
    3.
    Here we use the one way of chi square test because there is count of...
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