Hypothesis Testing: t-Distribution vs Normal Distribution

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What is the effect of substituting the sample standard deviation, S, when the population standard deviation σ is unknown?

It introduces extra uncertainty

What happens when the population standard deviation σ is unknown?

We use the t distribution

Why do we use the t distribution instead of the normal distribution when the population standard deviation σ is unknown?

Because the population standard deviation is unknown

What is the reason for not using the normal distribution when the population standard deviation σ is unknown?

<p>The sample standard deviation is used instead</p> Signup and view all the answers

What is the implication of using the sample standard deviation, S, when the population standard deviation σ is unknown?

<p>Extra uncertainty is introduced</p> Signup and view all the answers

What is the primary purpose of a confidence interval in hypothesis testing?

<p>To make inferences about a population parameter</p> Signup and view all the answers

What is the effect of increasing the confidence level on the width of the confidence interval?

<p>The width of the confidence interval increases</p> Signup and view all the answers

What does a 95% confidence interval for a population mean of 10.2 to 12.5 imply?

<p>The true population mean is likely to be between 10.2 and 12.5</p> Signup and view all the answers

What is the relationship between the margin of error and the width of the confidence interval?

<p>The margin of error is half the width of the confidence interval</p> Signup and view all the answers

What happens to the margin of error as the sample size increases?

<p>The margin of error decreases</p> Signup and view all the answers

What is the effect of increasing the standard deviation of the sample statistic on the margin of error?

<p>The margin of error increases</p> Signup and view all the answers

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