# STA301 Solved MCQs Mega File Final Term 2024

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## STA301 Solved MCQs Mega File Final Term

1: If a significance level of 5% is used rather than 1%, the null hypothesis is:

Just as likely to be rejected
More likely to be rejected
None of these
Less likely to be rejected

2: The term 1- ẞ is called

Level of the test
Critical region
Power of the test
The size of the test

3: providing as an estimate a single value calculated from the sample that is likely to be close in magnitude to the unknown parameter is known as

None of the above
Interval Estimation
Estimation
Point Estimation

4: Sample Proportion is a /an_ mean.

None of these
Unbiased
estimator of population
Unbiased and Consistent estimator

5: Suppose HO: p-0 H1p < 0 and the Critical value is z–2.33. If calculate the value of Z-2.60, then what will be your conclusion?

Accept Ho
Reject Ho
Impossible to decide
None of the above

6: From which of the following methods we can obtain a point estimate of the population parameters?

All of the above
Method of Moments
Maximum Likelihood Method
Method of Least Squares

7: Which of the following is desirable for a good point estimator

All of these
Unbiasedness
Consistency
Efficiency

8: P 0 1 2 3 f(p) 1/20 9/20 9/20 1/20 The mean of the sampling proportion will be:

25/20
10/20
15/20
30/20

9: Which of the following statements is correct?

A point estimate is an estimate of the range of a population parameter
A point estimate is a single value estimate of the value of a population parameter
All of the above statements are correct
A point estimate is an unbiased estimator if its standard deviation is the same as the actual value of the population standard deviation

10: P01/3 2/3 1 f(p) 1/20 9/20 9/20 1/20 The mean of the sampling proportion will be:

10/20
12/20
11/20
9/20

11: The term 1-ẞ is called

The size of the test
Critical region
Level of the test
Power of the test

12: Consistency is a……………….property.

Small sample
Non-random sample
Unique sample
Large sample

13: For a particular hypothesis test Alpha-0.09 and Beta-0.03, what is the value of Type I error?

0.09
0.97
0.03
0.91

14: To determine a sample size in estimating the population mean, we use the value.

N
X
Z
t

15: A parameter is a .quantity.

Sample
Constant
Random
Variable

16: The endpoints that bound the confidence interval are called:

Lower and upper limits
Bounded limits
Lower limits
Upper limits

17: A random sample of n-25 values gives a sample mean of 83. Can this sample be regarded as drawn from a normal population with p- 80 and s= 7? In this question the hypothesis will be:

H1: μ ≠ 80
11: μ 480
H1:μ80
H1: μ >80

18: Suppose HO: u 1=u2 and H1:u 1 <u2 and the Critical value is z=-1.645. If the calculated value of Z=-2.08, then what will be your conclusion?

None of the above
Impossible to decide
Accept Ho
Reject Ho

19: P 0 1/3 2/3 1 f(p) 1/10 4/10 4/10 1/10 The mean of the sampling proportion will be:

15/30
1/20
1/15
10/20

20: Alpha is the probability of ……..

Making Type I error
Rejecting H1 when it is wrong
Accepting Ho when it is true
Making Type II error

21: providing as an estimate a single value calculated from the sample that is likely to be close in magnitude to the unknown parameter is known as

Interval Estimation
Estimation
Point Estimation
None of the above

22: The difference between the value of the statistic and the value of the parameter is called

Sampling Error
Standard Error
Biased Error
Random Error

23: The Maximum Likelihood Estimators (MLE) are but not necessarily…… ar

Consistent, unbiased, efficient
Consistent, efficient, unbiased
Unbiased, consistent, efficient
Unbiased, efficient, consistent

24: For a particular hypothesis test, Alpha=0.10 and Beta=0.1 What is the value of Type II error?

0.90
0.15
0.10
0.85

25: A randomly selected sample of 400 students at a university with 15-week semesters was asked whether or not they think the semester should be shortened to 14 weeks 469 of the 400 students surveyed answered “yes”. Which one of the following ototomonto about the number 16% in corro

It is a population parameter
It is a sample statistic
It is a margin of error
It is a standard error

26: In the method of moments, how many equations are required to find two unknown population parameters?

1
2
3
4

27: If a significance level of 1% is used rather than 5%, the null hypothesis is:

Less likely to be rejected
More likely to be rejected
None of these
Just as likely to be rejected

28: When we start hypothesis testing, we always assume that

HO is false
H1 is true
HO is true
All are correct

29: A standard deviation obtained from sampling distribution sample statistics is known as

Sampling error
Standard error
Universal error
Minimum error

30: The test statistic is used to decide whether to null hypothesis.

Reject
None of these
Accept or Reject
Accept

31: An alternative hypothesis is generally denoted by

H2
H1
HO
H3

32: Ideally, the width of the confidence interval should be

1
98
100
The width of the confidence interval depends on the data.

33: In repeating sampling, which of the following possesses the desirable property of being Unbiased?

Sample median
All of above
Sample proportion
Sample Mean

34: In interval estimation, we obtained a of values as an estimate of the parameter

Group
Both a and b
None of these
Range

35: The proportion of working females in Pakistan is at most 0.40, the Null Hypothesis is HO Fs 0,40. then the alternative hypothesis HT is

P<0.40
none of these
P=0.40
P+ 0.40

36: By increasing sample size.. can be decreased

None of these
Alpha
Both Alpha and Beta
Beta

37: Simple random sampling is appropriate when the uns in the population are

Heterogeneous
Accessible
Not accessible
Homogeneous

38: “To consider every possible value that the parameter might have, and for each value, compute the probability d THAT estimate.” This procedure is known as

The method of least square
The method of fractional moments
The method of maximum likelihood
The method of moments