Question

A SYMMETRIC distribution with TWO parameters. A SYMMETRIC distribution with ONE parameter used when the population standard deviation is unknown. A NORMAL distribution with mean 0 and standard deviation 1. The distribution of a sample statistic. Gives the NORMALITY of sample means for large sample. Using data to determine properties of population parameters. A single value used to estimate a population parameter. A z-score determined by the probability (1-Confidence Level/100)/2 t-distribution PARAMETER equal to n-1, where n the the sample size used to estimate the sample mean and standard deviation. An INTERVAL with known likelihood of containing the population parameter. A known percentage SUCCESS RATE in which a confidence interval will contain the unknown population parameter. One-Half the WIDTH of a confidence interval. Gives the number of STANDARD DEVIATIONS a value is from the mean. Standard deviation of a sample statistic. Using a large sample size n>30, the average of sample means approaches this value.

1. Margin of Error 2. Central Limit Theorem 3. Standard Normal Distribution 4. z-score 5. Normal Distribution 6. Confidence Interval 7. Confidence Level 8. Critical Value 9. Degrees of Freedom 10. Student's t Distribution 11. Inference 12. Standard Error 13. Point Estimate 14. Sampling Distribution 15. Population Mean

Answer 1

• A SYMMETRIC distribution with TWO parameters - (5) Normal distribution

• A SYMMETRIC distribution with ONE parameter used when the population standard deviation is unknown - (9) degrees of freedom

• A NORMAL distribution with mean 0 and standard deviation 1 - (3) Standard Normal Distribution

• The distribution of a sample statistic - (14) Sampling Distribution

• Gives the NORMALITY of sample means for large sample - (2) Central Limit Theorem

• Using data to determine properties of population parameters - (11) Inference

• A single value used to estimate a population parameter - (13) Point Estimate

• A z-score determined by the probability (1-Confidence Level/100)/2 - (8) Critical Value

• t-distribution PARAMETER equal to n-1, where n the the sample size used to estimate the sample mean and standard deviation - (10) Student's t Distribution

• An INTERVAL with known likelihood of containing the population parameter - (6) Confidence Interval

• A known percentage SUCCESS RATE in which a confidence interval will contain the unknown population parameter - (7) Confidence Level

• One-Half the WIDTH of a confidence interval - (1) Margin of Error

• Gives the number of STANDARD DEVIATIONS a value is from the mean - (4) Z- score

• Standard deviation of a sample statistic - (12) Standard Error

• Using a large sample size n>30, the average of sample means approaches this value - (15) Population Mean