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Questions and Answers
What does a point estimate indicate about a population parameter?
What does a point estimate indicate about a population parameter?
Why are confidence intervals considered more informative than point estimates?
Why are confidence intervals considered more informative than point estimates?
What is the proper interpretation of a 95% confidence interval?
What is the proper interpretation of a 95% confidence interval?
How does prior information about sample means influence confidence intervals?
How does prior information about sample means influence confidence intervals?
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What does the notation 72.85 < μ < 107.15 represent in a confidence interval?
What does the notation 72.85 < μ < 107.15 represent in a confidence interval?
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What is the consequence if a confidence interval does not account for prior studies indicating higher means?
What is the consequence if a confidence interval does not account for prior studies indicating higher means?
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Which of the following defines the purpose of a confidence interval?
Which of the following defines the purpose of a confidence interval?
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What percentage of confidence intervals is expected to NOT contain the population mean at a 95% confidence level?
What percentage of confidence intervals is expected to NOT contain the population mean at a 95% confidence level?
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What is a potential limitation of relying solely on confidence intervals?
What is a potential limitation of relying solely on confidence intervals?
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Which scenario suggests that a 95% confidence interval may not be reliable?
Which scenario suggests that a 95% confidence interval may not be reliable?
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What is one key characteristic of the standard method of computing confidence intervals?
What is one key characteristic of the standard method of computing confidence intervals?
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How is the standard error of the mean calculated if the population standard deviation is known?
How is the standard error of the mean calculated if the population standard deviation is known?
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What conditions warrant the use of the t distribution instead of the normal distribution?
What conditions warrant the use of the t distribution instead of the normal distribution?
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What is the formula used to compute a 95% confidence interval for the mean?
What is the formula used to compute a 95% confidence interval for the mean?
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What value of Z is typically used to determine the limits of a 95% confidence interval in a normal distribution?
What value of Z is typically used to determine the limits of a 95% confidence interval in a normal distribution?
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What does the term 'leptokurtic' describe in relation to the t distribution?
What does the term 'leptokurtic' describe in relation to the t distribution?
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When using the normal distribution with a sample size of 100 or above, what can be said about the t distribution?
When using the normal distribution with a sample size of 100 or above, what can be said about the t distribution?
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What must be true in order to compute a confidence interval for a population mean?
What must be true in order to compute a confidence interval for a population mean?
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If a researcher intends to calculate a 99% confidence interval, what is the corresponding value of Z used?
If a researcher intends to calculate a 99% confidence interval, what is the corresponding value of Z used?
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What is the lower limit of the 95% confidence interval for the mean difference score?
What is the lower limit of the 95% confidence interval for the mean difference score?
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What is the critical value of t used in the computation for the 95% confidence interval for this data?
What is the critical value of t used in the computation for the 95% confidence interval for this data?
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What does the standard error of the mean represent in this context?
What does the standard error of the mean represent in this context?
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What is the upper limit of the 95% confidence interval for the mean difference score?
What is the upper limit of the 95% confidence interval for the mean difference score?
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If the sample mean (M) is 16.362, what does the term 'sM' refer to in the 95% confidence interval formula?
If the sample mean (M) is 16.362, what does the term 'sM' refer to in the 95% confidence interval formula?
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In the analysis of the Stroop data, how many subjects were recorded for the color-naming task?
In the analysis of the Stroop data, how many subjects were recorded for the color-naming task?
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What is the calculated standard deviation of the mean time difference for the 47 subjects?
What is the calculated standard deviation of the mean time difference for the 47 subjects?
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How is the term 'interference effect' defined in the context of this analysis?
How is the term 'interference effect' defined in the context of this analysis?
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What is the formula used to compute the confidence interval?
What is the formula used to compute the confidence interval?
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In the given example, what was the mean time difference for all subjects?
In the given example, what was the mean time difference for all subjects?
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Study Notes
Point Estimates
- A point estimate is a single value used to estimate a population parameter
- It doesn't reveal the uncertainty associated with the estimate
Confidence Intervals
- A confidence interval provides more information than a point estimate
- They capture the uncertainty associated with the estimate
- A 95% confidence interval means that 95% of the time, the interval will contain the true population mean.
Confidence Interval of the Mean: Population Standard Deviation Known
- Confidence intervals can be computed for various parameters, not just the mean
- Confidence intervals can be constructed by working backward from the population mean
- Formula for the 95% confidence interval for the mean with a known population standard deviation:
- Lower limit = M - Z.95σm
- Upper limit = M + Z.95σm
Confidence Interval of the Mean: Population Standard Deviation Unknown
- Use the t-distribution when the variance is not known
- Use the t-distribution when the sample size is small
- Formula for the 95% confidence interval for the mean when the standard deviation is unknown:
- Lower limit = M - (tCL)(sM)
- Upper limit = M + (tCL)(sM)
Stroop Effect Confidence Interval
- The Stroop effect is the interference that occurs when naming the color of ink that words are written in, when the words are color names
- The confidence interval of the mean for the Stroop effect difference score was computed using the t-distribution
- Confidence interval for the difference between the interference and color-naming conditions:
- Lower limit = 14.17
- Upper limit = 18.56
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