Your answer is partially correct. An article in Fortune (September 21, 1992) claimed that nearly one-half of all engineers continue academic studies beyond the B.S. degree, ultimately receiving either an M.S. or a Ph.D. degree. Data from an article in Engineering Horizons (Spring 1990) indicated that 117 of 484 new engineering graduates were planning graduate study. Are the data from Eng ons consistent with the claim reported by Fortune? Use a = 0.06 in reaching your conclusions. Find the P-value. Give your answer. The true proportion of 0.025 0.005 0.05 0.001 The P-value is less thai ✔ 0.0025 0.01 udents planning graduate studies is (choose the least possible). significantly different from 0.5 at a = 0.06. Statistical Tables and Charts

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**Statistical Analysis of Graduate Study Plans Among Engineers**

An article in *Fortune* (September 21, 1992) claimed that nearly one-half of all engineers continue academic studies beyond the B.S. degree, ultimately receiving either an M.S. or a Ph.D. degree. Data from an article in *Engineering Horizons* (Spring 1990) indicated that 117 of 484 new engineering graduates were planning graduate study.

**Research Question:**
Are the data from *Engineering Horizons* consistent with the claim reported by *Fortune*? Use a significance level of \( \alpha = 0.06 \) in reaching your conclusions.

**Steps to Analyze:**
1. **Find the P-value.**
2. **Give your answer.**
   - The true proportion of engineering students planning graduate studies **is** significantly different from 0.5 at \( \alpha = 0.06 \).

**Conclusion:**
- The P-value is less than **0.0025** (choose the least possible option).

**Additional Resources:**
- [Statistical Tables and Charts] 

The dropdown menu on the page shows options for the P-value: 0.025, 0.005, 0.001, 0.0025, and 0.01, with 0.0025 selected.
Transcribed Image Text:**Statistical Analysis of Graduate Study Plans Among Engineers** An article in *Fortune* (September 21, 1992) claimed that nearly one-half of all engineers continue academic studies beyond the B.S. degree, ultimately receiving either an M.S. or a Ph.D. degree. Data from an article in *Engineering Horizons* (Spring 1990) indicated that 117 of 484 new engineering graduates were planning graduate study. **Research Question:** Are the data from *Engineering Horizons* consistent with the claim reported by *Fortune*? Use a significance level of \( \alpha = 0.06 \) in reaching your conclusions. **Steps to Analyze:** 1. **Find the P-value.** 2. **Give your answer.** - The true proportion of engineering students planning graduate studies **is** significantly different from 0.5 at \( \alpha = 0.06 \). **Conclusion:** - The P-value is less than **0.0025** (choose the least possible option). **Additional Resources:** - [Statistical Tables and Charts] The dropdown menu on the page shows options for the P-value: 0.025, 0.005, 0.001, 0.0025, and 0.01, with 0.0025 selected.
An article in Fortune (September 21, 1992) claimed that nearly one-half of all engineers continue academic studies beyond the B.S. degree, ultimately receiving either an M.S. or a Ph.D. degree. Data from an article in Engineering Horizons (Spring 1990) indicated that 117 of 484 new engineering graduates were planning graduate study.

Are the data from Engineering Horizons consistent with the claim reported by Fortune? Use \( \alpha = 0.06 \) in reaching your conclusions.

Find the P-value.

Give your answer:

The true proportion of engineering students planning graduate studies \(\boxed{\text{is}}\) significantly different from 0.5 at \( \alpha = 0.06\).

The P-value is less than \(\boxed{0.0025}\) (choose the least possible). 

Link: Statistical Tables and Charts
Transcribed Image Text:An article in Fortune (September 21, 1992) claimed that nearly one-half of all engineers continue academic studies beyond the B.S. degree, ultimately receiving either an M.S. or a Ph.D. degree. Data from an article in Engineering Horizons (Spring 1990) indicated that 117 of 484 new engineering graduates were planning graduate study. Are the data from Engineering Horizons consistent with the claim reported by Fortune? Use \( \alpha = 0.06 \) in reaching your conclusions. Find the P-value. Give your answer: The true proportion of engineering students planning graduate studies \(\boxed{\text{is}}\) significantly different from 0.5 at \( \alpha = 0.06\). The P-value is less than \(\boxed{0.0025}\) (choose the least possible). Link: Statistical Tables and Charts
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