The smaller the SEM the larger the mean the smaller the valu
The smaller the SEM,
the larger the mean
the smaller the value of the test statistic
the more confidence we have that the estimates from the sample include the population value
the less confidence we have that the estimates from the sample include the population value
| the larger the mean | ||
| the smaller the value of the test statistic | ||
| the more confidence we have that the estimates from the sample include the population value | ||
| the less confidence we have that the estimates from the sample include the population value |
Solution
The smaller the SEM,
the larger the mean
the smaller the value of the test statistic
the more confidence we have that the estimates from the sample include the population value
the less confidence we have that the estimates from the sample include the population value
The standard error decreases with increasing sample size. The standard deviation is most often used to refer to the individual observations. So standard deviation describes the variability of the individual observations while standard error shows the variability of the estimator. When their standard error decreases to 0 as the sample size increases the estimators are consistent.
| the larger the mean | ||
| the smaller the value of the test statistic | ||
| the more confidence we have that the estimates from the sample include the population value | ||
| the less confidence we have that the estimates from the sample include the population value |
