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

True

False



Question 2. 2. The probability that the actual population mean will be outside of a 98% confidence interval is (Points : 1)

1%

2%

4%

5%



Question 3. 3. Point estimates provide less confidence in indicating a parameter’s value than a confidence interval. (Points : 1)

True

False



Question 4. 4. For a two sample confidence interval, the interval shows the difference between the means. (Points : 1)

True

False



Question 5. 5. The Chi-square test for independence needs a known (rather than calculated) expected distribution. (Points : 1)

True

False





Question 6. 6. For a one sample confidence interval, if the interval contains the μm , the corresponding t-test will have a statistically significant result – rejecting the null hypothesis. (Points : 1)

True

False



Question 7. 7. 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)

True

False


Question 8. 8. For a one sample confidence interval, the interval is calculated around the estimated population mean or standard (μm ). (Points : 1)

True

False



Question 9. 9. While rejecting the null hypothesis for the goodness of fit test means distributions differ, rejecting the null for the test of independence means the variables interact. (Points : 1)

True

False




Question 10. 10. 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)

True

False

 

    • Posted: 5 years ago
    100% correct solution

    Purchase the answer to view it

    blurred-text
    Save time and money!
    Our teachers already did such homework, use it as a reference!
    • 1.The goodness of fit test null hypothesis states that the sample data does not match an expected distribution. (Points : 1)

      True

    • Not rated

      10 MCQ

      1. The Chi-square test is very sensitive to small differences in frequency differences.

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

      True

      False

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

    • 1.The goodness of fit test null hypothesis states that the sample data does not match an expected distribution. (Points : 1)
      True

    • 1. The Chi-square test is very sensitive to small differences in frequency differences. (Points : 1)
      True
      False





      Question 2. 2. The probability that the actual population mean will be outside of a …

    • Question 1.1. The distribution for the goodness of fit test equals k-1, where k equals the number of categories. (Points : 1)

      True

      False

      Question 2.2. While rejecting the null …