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A. Identification: The process of making inferences about a population based on information obtained from a sample. 2. A range of values used to estimate the parameter. It can be calculated using two numbers or values which may or may not contain the value of the parameter being estimated. 3. This refers to the number of independent observations in the set of data or the number of variables that are free to vary.

A. Identification: The process of making inferences about a population based on information obtained from a sample. 2. A range of values used to estimate the parameter. It can be calculated using two numbers or values which may or may not contain the value of the parameter being estimated. 3. This refers to the number of independent observations in the set of data or the number of variables that are free to vary.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section: Chapter Questions
Problem 25SGR
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A. Identification: 1. The process of making inferences about a population based on information obtained from a sample. 2. A range of values used to estimate the parameter. It can be calculated using two numbers or values which may or may not contain the value of the parameter being estimated. _3. This refers to the number of independent observations in the set of data or the number of variables that are free to vary. This distribution is ideally used when n s 30 and the standard devistion or variance of the entire population is unknown, or that the only standard deviation given is from the sample. 5. A single value used to approximate a population parameter. 6. The interval defined within the true population where members of the sample are expected to be found. 7. It quantifies the probabilities in which, a member of the sample would fall within a known interval of the true population. If a is the allowable sampling error, the confidence level is equal to 1- a. This distribution is ideslly used when n2 30 and the standard devistion or the variance of the entire is given. In a t-distribution, what is the critical t-value for a two-tailed test, _8. a = 0.05 and df=12? 10. In t-distribution, the critical values are based on
Transcribed Image Text:A. Identification: 1. The process of making inferences about a population based on information obtained from a sample. 2. A range of values used to estimate the parameter. It can be calculated using two numbers or values which may or may not contain the value of the parameter being estimated. _3. This refers to the number of independent observations in the set of data or the number of variables that are free to vary. This distribution is ideally used when n s 30 and the standard devistion or variance of the entire population is unknown, or that the only standard deviation given is from the sample. 5. A single value used to approximate a population parameter. 6. The interval defined within the true population where members of the sample are expected to be found. 7. It quantifies the probabilities in which, a member of the sample would fall within a known interval of the true population. If a is the allowable sampling error, the confidence level is equal to 1- a. This distribution is ideslly used when n2 30 and the standard devistion or the variance of the entire is given. In a t-distribution, what is the critical t-value for a two-tailed test, _8. a = 0.05 and df=12? 10. In t-distribution, the critical values are based on
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