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    Mcqs of Hypothesis

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    Engr Mujahid Iqbal
    This document contains 20 multiple choice questions about statistical hypotheses. The questions cover key concepts like: 1) Definitions of null hypothesis, alternative hypothesis, and statistical hypothesis. 2) Classifications of hypotheses as simple or composite. 3) Types of hypothesis tests as one-tailed or two-tailed. 4) Errors like Type I and Type II errors and levels of significance. 5) Key terms involved in hypothesis testing like test statistics, critical values, rejection regions.

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    Mcqs of Hypothesis

    Uploaded by

    Engr Mujahid Iqbal
    10K views2 pages
    This document contains 20 multiple choice questions about statistical hypotheses. The questions cover key concepts like: 1) Definitions of null hypothesis, alternative hypothesis, and statistical hypothesis. 2) Classifications of hypotheses as simple or composite. 3) Types of hypothesis tests as one-tailed or two-tailed. 4) Errors like Type I and Type II errors and levels of significance. 5) Key terms involved in hypothesis testing like test statistics, critical values, rejection regions.

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    Mcqs of Hypothesis (2)

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    This document contains 20 multiple choice questions about statistical hypotheses. The questions cover key concepts like: 1) Definitions of null hypothesis, alternative hypothesis, and statistical hypothesis. 2) Classifications of hypotheses as simple or composite. 3) Types of hypothesis tests as one-tailed or two-tailed. 4) Errors like Type I and Type II errors and levels of significance. 5) Key terms involved in hypothesis testing like test statistics, critical values, rejection regions.

    Copyright:

    © All Rights Reserved
    Download as DOCX, PDF, TXT or read online from Scribd
    Download as docx, pdf, or txt
    10K views2 pages

    Mcqs of Hypothesis

    Uploaded by

    Engr Mujahid Iqbal
    This document contains 20 multiple choice questions about statistical hypotheses. The questions cover key concepts like: 1) Definitions of null hypothesis, alternative hypothesis, and statistical hypothesis. 2) Classifications of hypotheses as simple or composite. 3) Types of hypothesis tests as one-tailed or two-tailed. 4) Errors like Type I and Type II errors and levels of significance. 5) Key terms involved in hypothesis testing like test statistics, critical values, rejection regions.

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    © All Rights Reserved
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    of 2

    MCQS OF HYPOTHESIS

    Submitted by: MS-PT-TSE-11 & Ms- PT- ENE-05


    1
    A statement about a population developed for the purpose of testing is called:
    (a) Hypothesis (b) Hypothesis testing (c) Level of significance (d) Test-statistic

    2
    Any hypothesis which is tested for the purpose of rejection under the assumption that it is true is
    called:
    (a) Null hypothesis (b) Alternative hypothesis (c) Statistical hypothesis (d) Composite hypothesis

    3
    Any statement whose validity is tested on the basis of a sample is called:
    (a) Null hypothesis (b) Alternative hypothesis (c) Statistical hypothesis (b) Simple hypothesis

    4
    A statement that is accepted if the sample data provide sufficient evidence that the null hypothesis is false is
    called:
    (a) Simple hypothesis (b) Composite hypothesis (c) Statistical hypothesis (d) Alternative hypothesis

    5
    The alternative hypothesis is also called:
    (a) Null hypothesis (b) Statistical hypothesis (c) Research hypothesis (d) Simple hypothesis

    6
    A hypothesis that specifies all the values of parameter is called:
    (a) Simple hypothesis (b) Composite hypothesis (c) Statistical hypothesis (d) None of the above
    7
    A hypothesis may be classified as:
    (a) Simple (b) Composite (c) Null (d) All of the above

    8
    The probability of rejecting the null hypothesis when it is true is called:
    (a) Level of confidence (b) Level of significance (c) Power of the test (d) Difficult to tell

    9
    If the critical region is located equally in both sides of the sampling distribution of test-statistic, the test is
    called:
    (a) One tailed (b) Two tailed (c) Right tailed (d) Left tailed

    10
    The choice of one-tailed test and two-tailed test depends upon:
    (a) Null hypothesis (b) Alternative hypothesis (c) None of these (d) Composite hypotheses

    11
    Test of hypothesis Ho: µ = 50 against H1: µ > 50 leads to:
    (a) Left-tailed test (b) Right-tailed test (c) Two-tailed test (d) Difficult to tell
    12
    Test of hypothesis Ho: µ = 20 against H1: µ < 20 leads to:
    (a) Right one-sided test (b) Left one-sided test (c) Two-sided test (d) All of the above
    13
    A rule or formula that provides a basis for testing a null hypothesis is called:
    (a) Test-statistic (b) Population statistic (c) Both of these (d) None of the above

    14
    The probability associated with committing type-I error is:
    (a) β (b) α (c) 1 – β (d) 1 – α

    15
    A failing student is passed by an examiner, it is an example of:
    (a) Type-I error (b) Type-II error (c) Unbiased decision (d) Difficult to tell

    16
    A passing student is failed by an examiner, it is an example of:
    (a) Type-I error (b) Type-II error (c) Best decision (d) All of the above

    17
    1 – α is the probability associated with:
    (a) Type-I error (b) Type-II error (c) Level of confidence (d) Level of significance

    18
    Area of the rejection region depends on:
    (a) Size of α (b) Size of β (c) Test-statistic (d) Number of values

    19
    Size of critical region is known as:
    (a) β (b) 1 - β (c) Critical value (d) Size of the test

    20
    A null hypothesis is rejected if the value of a test statistic lies in the:
    (a) Rejection region (b) Acceptance region (c) Both (a) and (b) (d) Neither (a) nor (b)

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