Lecturer Statistics Online Test 4 MCQs Sample Papers

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There will be 25 multiple choice question in the test.
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Test Instructions:-
Test NameLecturer Statistics
SubjectStatistics Test 4
Test TypeMCQs
Total Questions25
Total Time20 Minutes
Total Marks100
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You have 20 minutes to pass to the quiz.


PPSC Lecturer of Statistics Practice Test 4

1 / 25

If the population standard deviation σ is unknown, and the sample size is small i.e.; n≤30, the confidence interval for the population mean μ is based on:

2 / 25

ΣXi / n for i=1,2,3,….,n is called:

3 / 25

By decreasing the sample size, the confidence interval becomes:

4 / 25

A statistician calculates a 95% confidence interval for μ when σ is known. The confidence interval is Rs. 18000 to Rs. 22000, the amount of the sample mean is:

5 / 25

Estimates given in the form of confidence intervals are called:

6 / 25

Bias of an estimator can be:

7 / 25

The point estimator of population mean μ is:

8 / 25

A function for estimating a parameter is called as:

9 / 25

A sample constant representing a population parameter is known as:

10 / 25

A 95% confidence interval for population proportion p is 32.4% to 47.6%, the value of sample proportion is:

11 / 25

The shape of the t-distribution depends upon the:

12 / 25

The number of values that are free to vary after we have placed certain restrictions upon the data is called:

13 / 25

A student calculates a 90% confidence interval for population mean when population standard deviation σ is unknown and n = 9. The confidence interval is -24.3 cents to 64.3 cents, the sample mean is:

14 / 25

If (1 – α) is increased, the width of a confidence interval is:

15 / 25

In t-distribution for two independent samples n1 = n2 = n, then the degrees of freedom is equal to:

16 / 25

If the population standard deviation σ is known, the confidence interval for the population mean μ is based on:

17 / 25

A statistic is an unbiased estimator of a parameter if:

18 / 25

If the observations are paired and the number of pairs is n, then degree of freedom is equal to:

19 / 25

The difference between the expected value of an estimator and the value of the corresponding parameter is called:

20 / 25

(1 – α) is called:

21 / 25

Interval estimate is associated with:

22 / 25

By increasing the sample size, the precision of confidence interval is:

23 / 25

The distance between an estimate and the estimated parameter is called:

24 / 25

Standard error is the standard deviation of the sampling distribution of an:

25 / 25

Confidence interval become narrow by increasing the:

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