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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

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