In: Statistics and Probability
As the sample size increases
| the standard error becomes smalller | 
| the sampling error increases | 
| the population standard deviation increases | 
| 
 the standard error becomes larger  | 
The purpose of the finite corretion factor for the standard error of the mean is to reflect the fact that the
| sampling error is higher for a finite population when compared to an infinite population | 
| sampling error is lower for a finite population when compared to an infinite population | 
| sample size is not at least 30 | 
| the population standard deviation is higher | 
The sampling distribution of the proportion follows the normal distribution when
| n is at least 30 | 
| n/N is at least 5% | 
| np >= 5 and n(1-p) >=5 | 
| N is infinite | 
Increasing the sample size when calculating a confidence interval while keeping the confidence level constant will
| reduce the margin of error, resulting in a more narrow confidence interval | 
| increase the margin of error | 
| result in no change to the margin of error | 
| reduce the margin of error, resulting in a wider confidence interval | 
A ________________ is defined as the probability that the interval will include the population parameter of interest.
| margin of error | 
| confidence level | 
| level of significance | 
| standard error | 
As the confidence level increases the width of the confidence interval ______________.
| increases | 
| decreases | 
| stays the same | 
| doubles | 
The pvalue for a hypothesis test is defined as the probability of observing a ____________________________________.
| critcal value at least as extreme as the one selected for the hypothesis test, assuming the null hypothesis is true | 
| critcal value at least as extreme as the one selected for the hypothesis test, assuming the null hypothesis is false | 
| sample mean at least as extreme as the one selected for the hypothesis test, assuming the null hypothesis is true | 
| sample mean at least as extreme as the one selected for the hypothesis test, assuming the null hypothesis is false | 
1) As the sample size increases:
Ans- The standard error becomes smalller.
2) The purpose of the finite correction factor for the standard error of the mean is to reflect the fact that the:
Ans: Sampling error is lower for a finite population when compared to an infinite one.
3) The sampling distribution of the proportion follows the normal distribution when
Ans: n is at least 30
4)Increasing the sample size when calculating a confidence interval while keeping the confidence level constant will
Ans: Reduce the margin of error, resulting in a more narrow confidence interval
5) ________________ is defined as the probability that the interval will include the population parameter of interest.
Ans: level of significance
6) As the confidence level increases the width of the confidence interval ______________.
Ans :increases
7)The p value for a hypothesis test is defined as the probability of observing a ____________________________________
Ans: Sample mean at least as extreme as the one selected for the hypothesis test, assuming the null hypothesis is true