Statistics for managers-Quiz

Question 1.1. For a one sample confidence interval, the interval is calculated around the estimated population mean or standard (μ_m ). (Points : 1)

Question 2.2. The goodness of fit test can be used for a single or multiple set (rows) of data, such as comparing male and female age distributions with an expected distribution at the same time. (Points : 1)

Question 3.3. The Chi-square test is very sensitive to small differences in frequency differences. (Points : 1)

Question 4.4. Chi-square tests rarely have type I errors. (Points : 1)

Question 5.5. For a one sample confidence interval, the interval is calculated around the calculated sample mean (m). (Points : 1)

Question 6.6. The Chi-square test for independence needs a known (rather than calculated) expected distribution. (Points : 1)

Question 7.7. A confidence interval is generally created when statistical tests fail to reject the null hypothesis – that is, when results are not statistically significant. (Points : 1)

Question 8.8. Point estimates provide less confidence in indicating a parameter’s value than a confidence interval. (Points : 1)

Question 9.9. Statistical significance in the Chi-square test means the population distribution (expected) is not the source of the sample (observed) data. (Points : 1)

Question 10.10. The Chi-square test can be performed on categorical (nominal) level data. (Points : 1)