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Chapter 1 - Regression, Correlation, and Hypothesis Testing - Hypothesis Testing for Zero Correlation
8問 • 2年前
  • Oluwole Akande
  • 通報

    問題一覧

  • 1

    What is the Notation for the PMCC

    r - PMCC for a sample, ρ - PMCC for a whole population

  • 2

    Why is the PMCC used for Hypothesis Testing

    The PMCC of a sample can indicate whether there is likely to be a linear relationship for the entire population

  • 3

    What is the Null and Alternative Hypothesis for testing whether the population PMCC for a sample is above 0

    H0, Null Hypothesis : ρ = 0, H1, Alternative Hypothesis : ρ > 0

  • 4

    What is the Null and Alternative Hypothesis for testing whether the Population PMCC is below 0

    H0, Null Hypothesis : ρ = 0, H1, Alternative Hypothesis : ρ < 0

  • 5

    What is the Null and Alternative Hypothesis for testing whether the Population PMCC is not equal to zero (greater than or less than)

    H0, Null Hypothesis : ρ = 0, H1, Alternative Hypothesis : ρ ≠ 0

  • 6

    When is a one-tailed test needed

    When testing if ρ > 0, When testing if ρ < 0

  • 7

    When is a two-tailed test needed

    When testing if ρ ≠ 0

  • 8

    How do you carry out a Hypothesis Test to figure out whether there is a Linear Correlation between two variables

    Identify suitable null and alternative hypotheses , Use page 37 in the formula booklet to find the critical value for the PMCC, r, based on the sample size and significance level (½ significance level if test is two tailed), For a one-tailed test, the critical region is r > critical value when testing for positive correlation, and r < the negative of the critical value when testing for negative correlation, For a two-tailed test, the critical regions are r > critical value and r < the negative of the critical value, Write a conclusion in context - if r falls in the critical region, reject the null hypothesis. If r falls outside of the critical region, there is insufficient evidence to reject the null hypothesis

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    Oluwole Akande · 9問 · 3年前

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    15問 • 2年前
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    Oluwole Akande · 5問 · 2年前

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    5問 • 2年前
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    Oluwole Akande · 14問 · 2年前

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    14問 • 2年前
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    Oluwole Akande · 8問 · 2年前

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    Oluwole Akande · 7問 · 2年前

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    7問 • 2年前
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    Oluwole Akande · 7問 · 2年前

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    Oluwole Akande · 11問 · 2年前

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    Oluwole Akande · 12問 · 2年前

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    Oluwole Akande · 11問 · 2年前

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    11問 • 2年前
    Oluwole Akande

    問題一覧

  • 1

    What is the Notation for the PMCC

    r - PMCC for a sample, ρ - PMCC for a whole population

  • 2

    Why is the PMCC used for Hypothesis Testing

    The PMCC of a sample can indicate whether there is likely to be a linear relationship for the entire population

  • 3

    What is the Null and Alternative Hypothesis for testing whether the population PMCC for a sample is above 0

    H0, Null Hypothesis : ρ = 0, H1, Alternative Hypothesis : ρ > 0

  • 4

    What is the Null and Alternative Hypothesis for testing whether the Population PMCC is below 0

    H0, Null Hypothesis : ρ = 0, H1, Alternative Hypothesis : ρ < 0

  • 5

    What is the Null and Alternative Hypothesis for testing whether the Population PMCC is not equal to zero (greater than or less than)

    H0, Null Hypothesis : ρ = 0, H1, Alternative Hypothesis : ρ ≠ 0

  • 6

    When is a one-tailed test needed

    When testing if ρ > 0, When testing if ρ < 0

  • 7

    When is a two-tailed test needed

    When testing if ρ ≠ 0

  • 8

    How do you carry out a Hypothesis Test to figure out whether there is a Linear Correlation between two variables

    Identify suitable null and alternative hypotheses , Use page 37 in the formula booklet to find the critical value for the PMCC, r, based on the sample size and significance level (½ significance level if test is two tailed), For a one-tailed test, the critical region is r > critical value when testing for positive correlation, and r < the negative of the critical value when testing for negative correlation, For a two-tailed test, the critical regions are r > critical value and r < the negative of the critical value, Write a conclusion in context - if r falls in the critical region, reject the null hypothesis. If r falls outside of the critical region, there is insufficient evidence to reject the null hypothesis