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    Arrange the following procedures of testing hypotheses in proper sequence:A. Making decisionsB. Setting a test criterionC. Set up hypothesisD. Set up
    Question

    Arrange the following procedures of testing hypotheses in proper sequence:

    A. Making decisions
    B. Setting a test criterion
    C. Set up hypothesis
    D. Set up suitable significance level
    E. Doing computations

    Choose the correct answer from the options given below:

    A.

    C, D, B, E, A

    B.

    B, C, D, A, E

    C.

    C, D, A, B, E

    D.

    D, C, B, E, A

    Correct option is A

    The proper sequence of hypothesis testing steps is:

    1. C. Set up Hypothesis:
      The process begins by defining the null hypothesis (H₀) and the alternative hypothesis (H₁) to specify the assumptions to be tested.

    2. D. Set up Suitable Significance Level:
      The level of significance (α\alphaα) is determined, typically 0.05 or 0.01, to decide the threshold for rejecting the null hypothesis.

    3. B. Setting a Test Criterion:
      The appropriate statistical test (e.g., z-test, t-test, chi-square test) is chosen, and its critical value or p-value is identified.

    4. E. Doing Computations:
      Perform the necessary computations using sample data to calculate the test statistic or p-value.

    5. A. Making Decisions:
      Based on the computed test statistic or p-value and the significance level, decide whether to reject or fail to reject the null hypothesis.

    Thus, the correct sequence is C, D, B, E, A.

    Information Booster:

    Hypothesis Testing Process:

    1. Null Hypothesis (H₀): Assumes no effect or no difference.
    2. Alternative Hypothesis (H₁): Contradicts H₀ and states the effect/difference exists.
    3. Significance Level (α\alphaα): The probability of rejecting a true null hypothesis, typically set at 5% (0.05).
    4. Critical Region: The range of values where H₀ is rejected.
    5. Test Statistic: A numerical summary (e.g., z, t) used for testing the hypothesis.
    6. Decision Rule: Compare test statistic with the critical value or compare p-value with α\alphaα.


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