1 |
If population proportion (P) is unknown, the standard error of the sample proportion (p) can be estimated by the formula |
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2 |
Types of statistical inferences are |
one
two
three
four
|
3 |
Confidence intervals which are often used in practice are |
90%
95%
98%
all of these
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4 |
100(1-α)% confidence interval for population proportion of success,&=nbsp;π is |
P (L <μ < U) = 1 - α
P (L <σ < U) = 1 - α
P (L <π< U) = 1 - α
P (L <P&=nbsp;< U) = 1 - α
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5 |
An estimator is ------------ if its expected value is equal to the population parameter to be estimated |
bad
biased
unbiased
none of these
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6 |
If the observations are paired and the number of pairs is n, then the number of degree of freedom is equal to |
n
n - 1
2n
2n - 1
|
7 |
A range of values used to estimate an unknown population parameter is |
a point estimator
An interval estimator
an unbiased estimator
A biased estimator
|
8 |
If mean of the sampling distribution is equal to the parameter then the estimator will be |
biased
consistent
sufficient
unbiased
|
9 |
The standard error of the estimate increased by decreasing |
population
sample size
errors
precision
|
10 |
Small sample has less than |
50 values
45 values
30 values
35 values
|
11 |
The difference of upper and lower limits of confidence interval measures the |
level of significance
level of confidence
interval
precision
|
12 |
Level of significance is denoted by |
2 - α
3 - α
α
1 - α
|
13 |
Large sample contains more than |
5 values
10 values
20 values
30 values
|
14 |
The precision can be increased by ---------------- the sample size |
increasing
decreasing
changing
ignoring
|
15 |
A specific value of an estimator computed from the sample data is called |
estimation
estimate
interval estimate
point estimate
|