Quiz
Chapter 8
Questions in this quiz (2)
1Identify the 1 FALSE statement amongst the 15 following statements:
- AA Chi-square test for goodness of fit is used to carry out a formal analysis on data presented in a one-way table of counts.
- BA Chi-square test for independence is used to carry out formal analyses on data presented in two-way tables of counts.
- CThe Chi-square test statistic is a measure of the difference between what we see in the data and what we would expect to see if the null hypothesis was true.
- DIf, for one or more cells in a table of counts, there are relatively large differences between the observed counts and the expected counts under the null hypothesis, then the data provides evidence against the null hypothesis.
- EIf, for all cells in a table of counts, there are relatively small differences between the observed counts and the expected counts under the null hypothesis, then the data provides no evidence against the null hypothesis.
- FIf, for several cells in a table of counts, there are relatively large differences between the observed counts and the expected counts under the null hypothesis, then the P-value for a Chi-square test will be large.
- GThe greater the value of the Chi-square test statistic, the stronger the evidence against the null hypothesis.
- HThe P-value in a Chi-square test is the probability, given that the null hypothesis is true, of obtaining a test statistic as extreme, or more so, as that observed.
- IIf one or more of the expected counts in a table is less than 1 then we would have concerns with the validity of a Chi-square test carried out on these data.
- JIf all of the expected counts in a table are greater than 5 then we would have no concerns with the validity of a Chi-square test carried out on these data.
2Identify the 1 FALSE statement amongst the 15 following statements:
- AA Chi-square test for goodness of fit is used to carry out a formal analysis on data presented in a one-way table of counts.
- BA Chi-square test for independence is used to carry out formal analyses on data presented in two-way tables of counts.
- CThe Chi-square test statistic is a measure of the difference between what we see in the data and what we would expect to see if the null hypothesis was true.
- DIf, for one or more cells in a table of counts, there are relatively large differences between the observed counts and the expected counts under the null hypothesis, then the data provides evidence against the null hypothesis.
- EIf, for all cells in a table of counts, there are relatively small differences between the observed counts and the expected counts under the null hypothesis, then the data provides no evidence against the null hypothesis.
- FIf, for several cells in a table of counts, there are relatively large differences between the observed counts and the expected counts under the null hypothesis, then the P-value for a Chi-square test will be large.
- GThe greater the value of the Chi-square test statistic, the stronger the evidence against the null hypothesis.
- HThe P-value in a Chi-square test is the probability, given that the null hypothesis is true, of obtaining a test statistic as extreme, or more so, as that observed.
- IIf one or more of the expected counts in a table is less than 1 then we would have concerns with the validity of a Chi-square test carried out on these data.
- JIf all of the expected counts in a table are greater than 5 then we would have no concerns with the validity of a Chi-square test carried out on these data.
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- Quiz on Chapter 8, created by sophiereneex on 12/06/2014.
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