null hypothesis means mcq

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Hypothesis testing mcqs | hypothesis testing multiple choice questions and answers.

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Answer: Hypothesis

Answer: Statistical Hypothesis

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Answer: Level of Significance

Answer: Two tailed

Answer: Test statistic

Answer: Left tailed

Answer: We reject H0 if it is True

Answer: Research Hypothesis

Answer: Reject A True Null Hypothesis

Answer: May Or May Not Be Rejected At The 0.01 Level

Answer: A Type Ii Error Is Committed

Answer: there is not enough statistical evidence to infer that the alternative hypothesis is true

Answer: determine whether a statistical result is significant

Answer: 0.005

Answer: Be greater than 5

Answer: That the underlying population follows an approximately Normal distribution

Answer: the probability of observing the data or more extreme values if the null hypothesis is true

Answer: If the p-value is greater than the significance level, we fail to reject Ho

Answer: 0.025

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Mcq testing of hypothesis with correct answers

Probability and statistics (math421), iqra university.

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Preview text, mcq testing of hypothesis.

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

MCQ 13. 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

MCQ 13. A statement about the value of a population parameter is called: (a) Null hypothesis (b) Alternative hypothesis (c) Simple hypothesis (d) Composite hypothesis

MCQ 13. 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

MCQ 13. A quantitative statement about a population is called: (a) Research hypothesis (b) Composite hypothesis (c) Simple hypothesis (d) Statistical hypothesis

MCQ 13. 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

MCQ 13. The alternative hypothesis is also called: (a) Null hypothesis (b) Statistical hypothesis (c) Research hypothesis (d) Simple hypothesis

MCQ 13. 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

MCQ 13. The hypothesis μ ≤ 10 is a: (a) Simple hypothesis (b) Composite hypothesis (c) Alternative hypothesis (d) Difficult to tell.

MCQ 13. 10 If a hypothesis specifies the population distribution is called: (a) Simple hypothesis (b) Composite hypothesis (c) Alternative hypothesis (d) None of the above

MCQ 13. 11 A hypothesis may be classified as: (a) Simple (b) Composite (c) Null (d) All of the above

MCQ 13. 12 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

The dividing point between the region where the null hypothesis is rejected and the region where it is not rejected is said to be: (a) Critical region (b) Critical value (c) Acceptance region (d) Significant region

MCQ 13. 14 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

MCQ 13. 15 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

MCQ 13. 16 Test of hypothesis Ho: μ = 50 against H 1 : μ > 50 leads to: (a) Left-tailed test (b) Right-tailed test (c) Two-tailed test (d) Difficult to tell

MCQ 13. 17 Test of hypothesis Ho: μ = 20 against H 1 : μ < 20 leads to: (a) Right one-sided test (b) Left one-sided test (c) Two-sided test (d) All of the above

MCQ 13. 18 Testing Ho: μ = 25 against H 1 : μ ≠ 20 leads to: (a) Two-tailed test (b) Left-tailed test (c) Right-tailed test (d) Neither (a), (b) and (c)

MCQ 13. 19 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

MCQ 13. 20 The range of test statistic-Z is: (a) 0 to 1 (b) -1 to +1 (c) 0 to ∞ (d) -∞ to +∞

MCQ 13. 21 The range of test statistic-t is: (a) 0 to ∞ (b) 0 to 1 (c) -∞ to +∞ (d) -1 to +

MCQ 13. 22 If Ho is true and we reject it is called: (a) Type-I error (b) Type-II error (c) Standard error (d) Sampling error

MCQ 13. 23 The probability associated with committing type-I error is: (a) β (b) α (c) 1 – β (d) 1 – α

MCQ 13. 24 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

In testing hypothesis α + β is always equal to: (a) One (b) Zero (c) Two (d) Difficult to tell

MCQ 13. 38 The significance level is the risk of: (a) Rejecting Ho when Ho is correct (b) Rejecting Ho when H 1 is correct (c ) Rejecting H 1 when H 1 is correct (d) Accepting Ho when Ho is correct.

MCQ 13. 39 An example in a two-sided alternative hypothesis is: (a) H 1 : μ < 0 (b) H 1 : μ > 0 (c) H 1 : μ ≥ 0 (d) H 1 : μ ≠ 0

MCQ 13. 40 If the magnitude of calculated value of t is less than the tabulated value of t and H 1 is two-sided, we should: (a) Reject Ho (b) Accept H 1 (c) Not reject Ho (d) Difficult to tell

MCQ 13. 41 Accepting a null hypothesis Ho: (a) Proves that Ho is true (b) Proves that Ho is false (c) Implies that Ho is likely to be true (d) Proves that μ ≤ 0

MCQ 13. 42 The chance of rejecting a true hypothesis decreases when sample size is: (a) Decreased (b) Increased (c) Constant (d) Both (a) and (b)

MCQ 13. 43 The equality condition always appears in: (a) Null hypothesis (b) Simple hypothesis (c) Alternative hypothesis (d) Both (a) and (b)

MCQ 13. 44 Which hypothesis is always in an inequality form? (a) Null hypothesis (b) Alternative hypothesis (c) Simple hypothesis (d) Composite hypothesis

MCQ 13. 45 Which of the following is composite hypothesis? (a) μ ≥ μo (b) μ ≤ μo (c) μ = μo (d) μ ≠ μo

MCQ 13. 46 P (Type I error) is equal to: (a) 1 – α (b) 1 – β (c) α (d) β

MCQ 13. 47 P (Type II error) is equal to: (a) α (b) β (c) 1 – α (d) 1 – β

MCQ 13. 48 The power of the test is equal to: (a) α (b) β (c) 1 – α (d) 1 – β

The degree of confidence is equal to: (a) α (b) β (c) 1 – α (d) 1 – β

MCQ 13. 50 α / 2 is called: (a) One tailed significance level (b) Two tailed significance level (c) Left tailed significance level (d) Right tailed significance level

MCQ 13. 51 Student’s t-test is applicable only when: (a) n≤30 and σ is known (b) n>30 and σ is unknown (c) n=30 and σ is known (d) All of the above

MCQ 13. 52 Student’s t-statistic is applicable in case of: (a) Equal number of samples (b) Unequal number of samples (c) Small samples (d) All of the above

MCQ 13. 53 Paired t-test is applicable when the observations in the two samples are: (a) Equal in number (b) Paired (c) Correlation (d) All of the above

MCQ 13. 54 The degree of freedom for paired t-test based on n pairs of observations is: (a) 2n - 1 (b) n - 2 (c) 2(n - 1) (d) n - 1

The test-statistic

Has d = ________:.

(a) n (b) n - 1 (c) n - 2 (d) n 1 + n 2 - 2

MCQ 13. 56 In an unpaired samples t-test with sample sizes n 1 = 11 and n 2 = 11, the value of tabulated t should be obtained for: (a) 10 degrees of freedom (b) 21 degrees of freedom (c) 22 degrees of freedom (d) 20 degrees of freedom

MCQ 13. In analyzing the results of an experiment involving seven paired samples, tabulated t should be obtained for: (a) 13 degrees of freedom (b) 6 degrees of freedom (c) 12 degrees of freedom (d) 14 degrees of freedom

MCQ 13. 58 The mean difference between 16 paired observations is 25 and the standard deviation of differences is 10. The value of statistic- t is: (a) 4 (b) 10 (c) 16 (d) 25

MCQ 13. 59 Statistic-t is defined as deviation of sample mean from population mean μ expressed in terms of: (a) Standard deviation (b) Standard error (c) Coefficient of standard deviation (d) Coefficient of variation

When σ is known, the hypothesis about population mean is tested by: (a) t-test (b) Z-test (c) χ 2 -test (d) F-test

MCQ 13. 69 Given μ o = 130, = 150, σ = 25 and n = 4; what test statistics is appropriate? (a) t (b) Z (c) χ 2 (d) F

MCQ 13. 70 Given Ho: μ = μ o, H 1 : μ ≠ μo, α = 0 and we reject Ho; the absolute value of the Z-statistic must have equalled or been beyond what value? (a) 1 (b) 1 (c) 2 (d) 2.

MCQ 13. 71 If p 1 and p 2 are not identical, then standard error of the difference of proportions (p 1 – p 2 ) is:

Under the hypothesis Ho: p 1 = p 2 , the formula for the standard error of the difference between proportions (p 1 – p 2 ) is:

• Multiple Choice

Course : Probability And Statistics (MATH421)

University : iqra university.

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