31.12 Quick review questions

A study (Egbue et al. 2017) of the adoption of electric vehicle (EVs) by a certain group of professional Americans (Example 5.14) compiled the data in Table 31.11. Output from using jamovi is shown in Fig. 31.12.

TABLE 31.11: Responses to the question ‘Would you purchase an electric vehicle in the next 10 years?’ by education

	Yes	No
No post-grad	24	8
Post-grad study	51	29

1. The \(\chi^2\) value is:
   1.31 1 0.253 112
2. The approximately-equivalent \(z\)-score (to two decimal places) is:
   
3. Using the 68–95–99.5 rule, the \(P\)-value is:
   Smaller than 0.05 Larger than 0.05 About 0.05 There is not enough information
4. From the software output, the \(P\)-value is:
   1.31 0.253 1.71 There is not enough information
5. The alternative hypothesis will be:
   One-tailed Two-tailed There is not enough information
6. True or false: There is no evidence of a difference in the odds of buying a car in the next 10 years, between those with and without post-graduate study.
   TRUE FALSE

FIGURE 31.12: jamovi output for the EV study

References

Egbue O, Long S, Samaranayake VA. Mass deployment of sustainable transportation: Evaluation of factors that influence electric vehicle adoption. Clean Technologies and Environmental Policy. Springer; 2017;19(7):1927–39.

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Peter K. Dunn, 2021: CC BY-NC-SA 4.0