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Question # 1 of 10 ( Start time: 10:21:04 PM ) Total Marks: 1
The proportion of females in Pakistan is at most 0.52, the alternative hypothesis H1 is
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P is less than & equal to 0.52
P is equal to 0.52
P is greater than 0.52
P is greater than and equal to 0.52
Question # 2 of 10 ( Start time: 10:22:30 PM ) Total Marks: 1
In general sample variance is a/an ........estimator?
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Biased
Unbiased
Consistent
none of these
Question # 3 of 10 ( Start time: 10:24:03 PM ) Total Marks: 1
In sampling from a large population with б = 45. The size of the sample used is 12, the value of the standard error will be:
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5.9
3.66
12.99
1.2
Question # 4 of 10 ( Start time: 10:25:24 PM ) Total Marks: 1
When an interval is constructed, what is the probability of occurrence of parameter in it?
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0
1
50
Either 1 or 0
Question # 5 of 10 ( Start time: 10:26:25 PM ) Total Marks: 1
Suppose H0: u 1= u2 and H1:u 1 < u 2 and Critical value is z= - 1.645. If calculated value of Z= - 2.08,then what will be your conclusion?
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Accept Ho
Reject Ho
Impossible to decide
None of the above
Question # 6 of 10 ( Start time: 10:27:28 PM ) Total Marks: 1
How does the shape of the t-distribution change as the sample size increases?
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It becomes broader
It becomes skewed
It becomes flatter
It becomes more normal looking
Question # 7 of 10 ( Start time: 10:28:39 PM ) Total Marks: 1
If the two populations are non-normal and both the sample sizes are large, then the sampling distribution of the difference of means will be:
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Normal distribution
t-distribution
F-distribution
Chi-square distribution
Question # 8 of 10 ( Start time: 10:30:03 PM ) Total Marks: 1
Pairing is done only in case of ……….observations.
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Dependent
Independent
Small
Large
Question # 9 of 10 ( Start time: 10:31:22 PM ) Total Marks: 1
The standard error of the sampling distribution of differences of means ( x 1 - x 2) ,is equal to:
Select correct option Reload Math Equations
√((б1+б2)/n)
√(б/n)
√((б1)2/n1)+ (б2)2/n2
None of the above
Question # 10 of 10 ( Start time: 10:32:46 PM ) Total Marks: 1
....... is used when we are dealing with proportions to find the probabilities:
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Normal distribution
t- distribution
Both Z & t distribution
F distribution
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