Quantitative Methods PSY302 Quiz 6 Confidence Intervals
1. We can’t assume that the sample mean will equal the population mean because of _____. (104) skewness outliers in the data sampling error confirmation bias anhedonia
1. We can’t assume that the sample mean will equal the population mean because of _____. (104) skewness outliers in the data sampling error confirmation bias anhedonia
2. What is a confidence interval for the mean 2. What is a confidence interval for the mean? It is a(n) _________within which the true mean of the population is believed to exist. (105) standard deviation non random sample research design or meta-analysis frequency distribution range of values
2. What is a confidence interval for the mean 2. What is a confidence interval for the mean? It is a(n) _________within which the true mean of the population is believed to exist. (105) standard deviation non random sample research design or meta-analysis frequency distribution range of values
3. A ____ is a point along the baseline of the normal curve that is expressed in standard deviation units. (107) distribution of critical values Z value confidence interval categorical variable sum of squares
3. A ____ is a point along the baseline of the normal curve that is expressed in standard deviation units. (107) distribution of critical values Z value confidence interval categorical variable sum of squares
4. To calculate a confidence interval we need to:(106) add something to the mean subtract something from the mean know the true value of the parameter a & b all of the above
4. To calculate a confidence interval we need to:(106) add something to the mean subtract something from the mean know the true value of the parameter a & b all of the above
5. In a distribution with a mean of 40 and a standard deviation of 5 what values would encompass approximately 95% of the scores? 35-45 30-50 25-55 40-95 all of the above
5. In a distribution with a mean of 40 and a standard deviation of 5 what values would encompass approximately 95% of the scores? 35-45 30-50 25-55 40-95 all of the above
6. We use the symbol ____ to represent the sample size. (111) μ b σ n s
6. We use the symbol ____ to represent the sample size. (111) μ b σ n s
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
9. A 95% confidence interval is constructed so that it will capture the true mean of the population: (115) never always 99% of the time 95% of the time On president’s day The error bars on the figures represent the 95 percent confidence interval.
9. A 95% confidence interval is constructed so that it will capture the true mean of the population: (115) never always 99% of the time 95% of the time On president’s day The error bars on the figures represent the 95 percent confidence interval.
10. When calculating a confidence interval and the standard deviation of the population is unknown you have to: guess calculate the sum of squares estimate the value of the population standard deviation. sacrifice a gray squirrel to the gods change your data to categorical variables and use chi square
10. When calculating a confidence interval and the standard deviation of the population is unknown you have to: guess calculate the sum of squares estimate the value of the population standard deviation. sacrifice a gray squirrel to the gods change your data to categorical variables and use chi square
Bonus Question: We have two ways of dealing with sampling error one of them is: A frequency distribution A correlation coefficient A hypothesis test A random number generator All of the above
Bonus Question: We have two ways of dealing with sampling error one of them is: A frequency distribution A correlation coefficient A hypothesis test A random number generator All of the above
Bonus question number two Bonus question number two. We have two ways of dealing with sampling error: hypothesis test and: Z scores Confidence intervals Multiple regression Scatter plots Histograms and density curves
Bonus question number two Bonus question number two. We have two ways of dealing with sampling error: hypothesis test and: Z scores Confidence intervals Multiple regression Scatter plots Histograms and density curves
The End
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