Question

In: Statistics and Probability

A SYMMETRIC distribution with TWO parameters. A SYMMETRIC distribution with ONE parameter used when the population...

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

Solutions

Expert Solution

  • 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


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