# Lecturer Statistics Online Test 4 MCQs Sample Papers

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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

If the population standard deviation Ïƒ is unknown, and the sample size is small i.e.; nâ‰¤30, the confidence interval for the population mean Î¼ is based on:

2 / 25

Î£Xi / n for i=1,2,3,â€¦.,n is called:

3 / 25

By decreasing the sample size, the confidence interval becomes:

4 / 25

A statistician calculates a 95% confidence interval for Î¼ when Ïƒ 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 Î¼ 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 Ïƒ is unknown and n = 9. The confidence interval is -24.3 cents to 64.3 cents, the sample mean is:

14 / 25

If (1 â€“ Î±) 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 Ïƒ is known, the confidence interval for the population mean Î¼ 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 â€“ Î±) 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: