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Questions and Answers
What is the term used for the methods used to make decisions or draw conclusions about a population?
What is the term used for the methods used to make decisions or draw conclusions about a population?
Which of the following is considered a random variable before the data is collected?
Which of the following is considered a random variable before the data is collected?
What is the probability distribution of a statistic called?
What is the probability distribution of a statistic called?
What is used to obtain a point estimate of a population parameter?
What is used to obtain a point estimate of a population parameter?
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What method utilizes the information contained in a sample from the population in drawing conclusions?
What method utilizes the information contained in a sample from the population in drawing conclusions?
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Which term refers to the process of making decisions or drawing conclusions about a population using sample data?
Which term refers to the process of making decisions or drawing conclusions about a population using sample data?
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What is the estimate for the mean of a single population?
What is the estimate for the mean of a single population?
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What is the estimate for the difference in means of two populations?
What is the estimate for the difference in means of two populations?
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What is meant by the sampling distribution of the mean?
What is meant by the sampling distribution of the mean?
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When will the normal approximation be satisfactory for the sampling distribution?
When will the normal approximation be satisfactory for the sampling distribution?
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What does the central limit theorem state?
What does the central limit theorem state?
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What is the standard deviation of the sampling distribution of X̅, if σ = 10 and n = 25?
What is the standard deviation of the sampling distribution of X̅, if σ = 10 and n = 25?
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What does Z=(X̅-μ)/(σ⁄√n) represent?
What does Z=(X̅-μ)/(σ⁄√n) represent?
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What does (s²) represent?
What does (s²) represent?
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How does Linear functions of independent normally distributed random variables behave?
How does Linear functions of independent normally distributed random variables behave?
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