Question

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t-distribution PARAMETER equal to n-1, where n the the sample size used to estimate the sample mean and standard deviation. 123456789101112131415 Gives the number of STANDARD DEVIATIONS a value is from the mean. 123456789101112131415 Standard deviation of a sample statistic. 123456789101112131415 Using data to determine properties of population parameters. 123456789101112131415 A NORMAL distribution with mean 0 and standard deviation 1. 123456789101112131415 Gives the NORMALITY of sample means for large sample. 123456789101112131415 A known percentage SUCCESS RATE in which a confidence interval will contain the unknown population parameter. 123456789101112131415 An INTERVAL with known likelihood of containing the population parameter. 123456789101112131415 A z-score determined by the probability (1-Confidence Level/100)/2 123456789101112131415 A SYMMETRIC distribution with TWO parameters. 123456789101112131415 A single value used to estimate a population parameter. 123456789101112131415 The distribution of a sample statistic. 123456789101112131415 One-Half the WIDTH of a confidence interval. 123456789101112131415 Using a large sample size n>30, the average of sample means approaches this value. 123456789101112131415 A SYMMETRIC distribution with ONE parameter used when the population standard deviation is unknown.

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

Result:

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

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