(a) If the true mean is .9050 with a standard deviation of 0.0100, within what interval will 90 percent of the sample means fall? (Round your answers to 4 decimal places.) The interval is from to

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### Homework: Chapter 8 (Sections 8.4 through 8.6)

#### Problem 1

Concerns about climate change and CO₂ reduction have initiated the commercial production of blends of biodiesel (e.g., from renewable sources) and petrodiesel (from fossil fuel). Random samples of 48 blended fuels are tested in a lab to ascertain the bio/total carbon ratio.

**(a)** If the true mean is .9050 with a standard deviation of 0.0100, within what interval will 90 percent of the sample means fall? (Round your answers to 4 decimal places.)

The interval is from ____ to ____.

**(b)** If the true mean is .9050 with a standard deviation of 0.0100, what is the sampling distribution of X̄?
1. Exactly normal with μ = .9050 and σ = 0.0100
2. Approximately normal with μ = .9050 and σ = 0.0100
3. Exactly normal with μ = .9050 and 
   $$σ_{\bar{X}} = \frac{0.0100}{\sqrt{48}}$$
4. Approximately normal with μ = .9050 and 
   $$σ_{\bar{X}} = \frac{0.0100}{\sqrt{48}}$$

**(c)** What theorem did you use to answer part (b)?

- Central Limit Theorem
- Chebyshev's Theorem
- Pythagorean Theorem
- Law of Large Numbers
Transcribed Image Text:### Homework: Chapter 8 (Sections 8.4 through 8.6) #### Problem 1 Concerns about climate change and CO₂ reduction have initiated the commercial production of blends of biodiesel (e.g., from renewable sources) and petrodiesel (from fossil fuel). Random samples of 48 blended fuels are tested in a lab to ascertain the bio/total carbon ratio. **(a)** If the true mean is .9050 with a standard deviation of 0.0100, within what interval will 90 percent of the sample means fall? (Round your answers to 4 decimal places.) The interval is from ____ to ____. **(b)** If the true mean is .9050 with a standard deviation of 0.0100, what is the sampling distribution of X̄? 1. Exactly normal with μ = .9050 and σ = 0.0100 2. Approximately normal with μ = .9050 and σ = 0.0100 3. Exactly normal with μ = .9050 and $$σ_{\bar{X}} = \frac{0.0100}{\sqrt{48}}$$ 4. Approximately normal with μ = .9050 and $$σ_{\bar{X}} = \frac{0.0100}{\sqrt{48}}$$ **(c)** What theorem did you use to answer part (b)? - Central Limit Theorem - Chebyshev's Theorem - Pythagorean Theorem - Law of Large Numbers
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