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Quantitative Methods PSY302 Quiz Chapter Six Confidence Intervals. 1. We calculate the sample mean in order to:. practice with Excel prove the null hypothesis create sampling error decrease confirmation bias estimate the population mean. 1. We calculate the sample mean in order to:.
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Quantitative Methods PSY302Quiz Chapter SixConfidence Intervals
1. We calculate the sample mean in order to: • practice with Excel • prove the null hypothesis • create sampling error • decrease confirmation bias • estimate the population mean
1. We calculate the sample mean in order to: • practice with Excel • prove the null hypothesis • create sampling error • decrease confirmation bias • estimate the population mean
2. A range of valueswithin which the true mean of the population is believed to exist is called a. (105) • standard deviation • non random sample • research design or meta-analysis • frequency distribution • confidence interval
2. A range of valueswithin which the true mean of the population is believed to exist is called a. (105) • standard deviation • non random sample • research design or meta-analysis • frequency distribution • confidence interval
2.58 -1.11 1.96 .002 .5 3. The Z score for a 95% confidence interval is: (107)
2.58 -1.11 1.96 .002 .5 3. The Z score for a 95% confidence interval is: (107)
frequency raw score the variance the mean all of the above 4. In the sampling distribution of means shown below what is on the X axis?
frequency raw score the variance the mean all of the above 4. In the sampling distribution of means shown below what is on the X axis?
5. I have an estimate based on a mean of 50 with a margin of error of 10. What would be the upper limit of my confidence interval? • 35 • 60 • 55 • 40 • 50
5. I have an estimate based on a mean of 50 with a margin of error of 10. What would be the upper limit of my confidence interval? • 35 • 60 • 55 • 40 • 50
6. For a 95% confidence interval, the formula for the margin of error is the Z-score (i.e. 1.96) times: • μ • .95 • the standard error • sample mean • population mean
6. For a 95% confidence interval, the formula for the margin of error is the Z-score (i.e. 1.96) times: • μ • .95 • the standard error • sample mean • population mean
7. As n increases the standard error: (111) • remains the same • increases • decreases • doubles • turns to zero
7. As n increases the standard error: (111) • remains the same • increases • decreases • doubles • turns to zero
8. When you divided the standard deviation of the population by the square root of n (the sample size) you have the: • standard error • mean • correlation coefficient • confidence interval • sum of squares
8. When you divided the standard deviation of the population by the square root of n (the sample size) you have the: • standard error • mean • correlation coefficient • confidence interval • sum of squares
never always 99% of the time 95% of the time On president’s day 9. A 95% confidence interval is constructed so that it will capture the true mean of the population: (115) The error bars on the figures represent the 95 percent confidence interval.
never always 99% of the time 95% of the time On president’s day 9. A 95% confidence interval is constructed so that it will capture the true mean of the population: (115) The error bars on the figures represent the 95 percent confidence interval.
value of the mean Z score the number of standard errors above or below the mean all of the above 10. The X axis of a sampling distribution of the means shows the:
value of the mean Z score the number of standard errors above or below the mean all of the above 10. The X axis of a sampling distribution of the means shows the:
e • e • c • d • b • c • c • a • d • d