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Hypothesis Testing – One Tail and Two Tail Tests

ammar albaqshi business statistics Englisch

Hypothesis Testing – One Tail and Two Tail Tests

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Hypothesis Testing – One Tail and Two Tail Tests

  • is used to decide if a statement about a population parameter should, or should not, be rejected.
  1. The Steps in Testing

    • Set the null and alternative hypotheses, and desired level of significance
    • Confirm if you will be conducting a one tail or a two tail test.
    • Calculate a test statistic: for now, this will be either a Z statistic or a t statistic.
    • Calculate the probability of observing the test statistic. There are two alternative approaches
      • The P Value Approach = : Use NORM.S.DIST (or a T.DIST to find the p value
      • The Critical Value Approach= Use NORM.S.INV (or a T.INV
    • Draw a Conclusion:
      • ) Reject H0 if the p-value Otherwise, do not reject H0.
  2. The Test Statistics

    • For a population mean, where the population standard deviation is known:
    • For a population mean, where the population standard deviation is not known
    • For a population proportion
      • Testing for a Population Proportion
        • Calculate the test statistic
        • Use NORM.S.DIST to find the probability of test statistic occurring.
        • Compare the p value against the desired level of significance to determine whether to reject, or not reject, the null hypothesis

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  • Hypothesis Testing – One Tail and Two Tail Tests
  • Hypothesis Testing – One Tail and Two Tail Tests
  • Hypothesis Testing – One Tail and Two Tail Tests
  • Hypothesis Testing – One Tail and Two Tail Tests

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business statistics Mindmap am Hypothesis Testing – One Tail and Two Tail Tests, erstellt von ammar albaqshi am 11/03/2017.
Erstellt von
ammar albaqshi
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