Lecturer Statistics Online Test 4 MCQs Sample Papers

Online Free Taleem is free online MCQ’s test related to Lecturer Statistics. All the individuals who are going to appear in Lecturer Statistics written test can attempt these tests in order to prepare for it in best possible way. Our tests of Lecturer of Statistics include all the important questions and Past Paper of Lecturer Statistics, that have extremely high amount of chances for been included in the actual exam which make our test undoubtedly the best source of preparation.


There will be 25 multiple choice question in the test.
Answer of the questions will change randomly each time you start this test.
Practice this test at least 5 times if you want to secure High Marks.
At the End of the Test you can see your Test score and Rating.
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Test Instructions:-
Test Name Lecturer Statistics
Subject Statistics Test 4
Test Type MCQs
Total Questions 25
Total Time 20 Minutes
Total Marks 100

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 known, the confidence interval for the population mean μ is based on:

2 / 25

Bias of an estimator can be:

3 / 25

(1 – α) is called:

4 / 25

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

5 / 25

ΣXi / n for i=1,2,3,….,n is called:

6 / 25

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

7 / 25

A statistic is an unbiased estimator of a parameter if:

8 / 25

The point estimator of population mean μ is:

9 / 25

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

10 / 25

A sample constant representing a population parameter is known as:

11 / 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:

12 / 25

Interval estimate is associated with:

13 / 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:

14 / 25

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

15 / 25

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

16 / 25

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

17 / 25

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

18 / 25

By decreasing the sample size, the confidence interval becomes:

19 / 25

A function for estimating a parameter is called as:

20 / 25

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

21 / 25

The shape of the t-distribution depends upon the:

22 / 25

Confidence interval become narrow by increasing the:

23 / 25

Estimates given in the form of confidence intervals are called:

24 / 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:

25 / 25

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

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