7. The sample mean estimator for the population mean a. has a small standard error b. potentially has a small standard error c. is potentially unbiased d. A and C e. B and C 8. As the sample size...


7. The sample mean estimator for the<br>population mean<br>a. has a small standard error<br>b. potentially has a small standard<br>error<br>c. is potentially unbiased<br>d. A and C<br>e. B and C<br>8. As the sample size increases, the<br>t-distribution becomes<br>a. more spread out and more like<br>the standard normal distribution<br>b. less spread out and more like the<br>standard normal distribution<br>С.<br>more symmetrical<br>d. A and C<br>е. В and C<br>9. For sufficiently large sample size, the<br>random variable has a probability<br>distribution centered at 0<br>a. Z-statistic<br>b. t-statistic<br>c. the sample mean<br>d. A and B<br>e. A and B and C<br>

Extracted text: 7. The sample mean estimator for the population mean a. has a small standard error b. potentially has a small standard error c. is potentially unbiased d. A and C e. B and C 8. As the sample size increases, the t-distribution becomes a. more spread out and more like the standard normal distribution b. less spread out and more like the standard normal distribution С. more symmetrical d. A and C е. В and C 9. For sufficiently large sample size, the random variable has a probability distribution centered at 0 a. Z-statistic b. t-statistic c. the sample mean d. A and B e. A and B and C

Jun 08, 2022
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