Lecturer Statistics Online Test 4 MCQs Sample Papers

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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.

Note:-

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.
If you found any incorrect answer in Quiz. Simply click on the quiz title and comment below on that MCQ. So that I can update the incorrect answer on time.

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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
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You have 20 minutes to pass to the quiz.

PPSC Lecturer of Statistics Practice Test 4

1 / 25

The point estimator of population mean μ is:

2 / 25

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

3 / 25

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

4 / 25

(1 – α) is called:

5 / 25

A sample constant representing a population parameter is known as:

6 / 25

A function for estimating a parameter is called as:

7 / 25

The shape of the t-distribution depends upon the:

8 / 25

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

9 / 25

Bias of an estimator can be:

10 / 25

A statistic is an unbiased estimator of a parameter if:

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

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

14 / 25

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

15 / 25

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

16 / 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:

17 / 25

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

18 / 25

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

19 / 25

By decreasing the sample size, the confidence interval becomes:

20 / 25

ΣXi / n for i=1,2,3,….,n is called:

21 / 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:

22 / 25

Confidence interval become narrow by increasing the:

23 / 25

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

24 / 25

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

25 / 25

Estimates given in the form of confidence intervals are called:

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The average score is 24%

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