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**STA301 Solved MCQs Mega File**

Post Topic | Solved MCQs |

Book Code | STA301 |

FinalTerm/MidTerm | FinalTerm |

University | Virtual University |

## 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

**Conclusion**

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