## Statistical Analysis of Blended Fuels 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 46 blended fuels are tested in a lab to ascertain the bio/total carbon ratio. ### Problem Statement **(a)** If the true mean is 0.9660 with a standard deviation of 0.0060, within what interval will 98 percent of the sample means fall? (Round your answers to 4 decimal places.) **The interval is from ____ to ____** **(b)** If the true mean is 0.9660 with a standard deviation of 0.0060, what is the sampling distribution of \(\bar{X}\)? 1. Exactly normal with \(\mu = 0.9660\) and \(\sigma = 0.0060\). 2. Approximately normal with \(\mu = 0.9660\) and \(\sigma = 0.0060\). 3. Exactly normal with \(\mu = 0.9660\) and \(\sigma_{\bar{X}} = 0.0060/\sqrt{46}\). 4. Approximately normal with \(\mu = 0.9660\) and \(\sigma_{\bar{X}} = 0.0060/\sqrt{46}\). ### Explanation of Concepts - **True Mean (\(\mu\))**: The average value expected in the population. - **Standard Deviation (\(\sigma\))**: A measure of variability or dispersion of a set of values. - **Sampling Distribution of \(\bar{X}\)**: The probability distribution of the sample mean across different samples. ### Educational Insight Understanding the distribution of sample means helps in predicting the behavior of averages from samples, crucial for quality control and hypothesis testing in the context of fuel blends. This example highlights the application of statistical concepts in assessing environmental impacts and making informed decisions in fuel production.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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## Statistical Analysis of Blended Fuels

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 46 blended fuels are tested in a lab to ascertain the bio/total carbon ratio.

### Problem Statement

**(a)** If the true mean is 0.9660 with a standard deviation of 0.0060, within what interval will 98 percent of the sample means fall? (Round your answers to 4 decimal places.)

**The interval is from ____ to ____**

**(b)** If the true mean is 0.9660 with a standard deviation of 0.0060, what is the sampling distribution of \(\bar{X}\)?

1. Exactly normal with \(\mu = 0.9660\) and \(\sigma = 0.0060\).
2. Approximately normal with \(\mu = 0.9660\) and \(\sigma = 0.0060\).
3. Exactly normal with \(\mu = 0.9660\) and \(\sigma_{\bar{X}} = 0.0060/\sqrt{46}\).
4. Approximately normal with \(\mu = 0.9660\) and \(\sigma_{\bar{X}} = 0.0060/\sqrt{46}\).

### Explanation of Concepts

- **True Mean (\(\mu\))**: The average value expected in the population.
- **Standard Deviation (\(\sigma\))**: A measure of variability or dispersion of a set of values.
- **Sampling Distribution of \(\bar{X}\)**: The probability distribution of the sample mean across different samples.

### Educational Insight

Understanding the distribution of sample means helps in predicting the behavior of averages from samples, crucial for quality control and hypothesis testing in the context of fuel blends. This example highlights the application of statistical concepts in assessing environmental impacts and making informed decisions in fuel production.
Transcribed Image Text:## Statistical Analysis of Blended Fuels 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 46 blended fuels are tested in a lab to ascertain the bio/total carbon ratio. ### Problem Statement **(a)** If the true mean is 0.9660 with a standard deviation of 0.0060, within what interval will 98 percent of the sample means fall? (Round your answers to 4 decimal places.) **The interval is from ____ to ____** **(b)** If the true mean is 0.9660 with a standard deviation of 0.0060, what is the sampling distribution of \(\bar{X}\)? 1. Exactly normal with \(\mu = 0.9660\) and \(\sigma = 0.0060\). 2. Approximately normal with \(\mu = 0.9660\) and \(\sigma = 0.0060\). 3. Exactly normal with \(\mu = 0.9660\) and \(\sigma_{\bar{X}} = 0.0060/\sqrt{46}\). 4. Approximately normal with \(\mu = 0.9660\) and \(\sigma_{\bar{X}} = 0.0060/\sqrt{46}\). ### Explanation of Concepts - **True Mean (\(\mu\))**: The average value expected in the population. - **Standard Deviation (\(\sigma\))**: A measure of variability or dispersion of a set of values. - **Sampling Distribution of \(\bar{X}\)**: The probability distribution of the sample mean across different samples. ### Educational Insight Understanding the distribution of sample means helps in predicting the behavior of averages from samples, crucial for quality control and hypothesis testing in the context of fuel blends. This example highlights the application of statistical concepts in assessing environmental impacts and making informed decisions in fuel production.
Expert Solution
Step 1

The given values are

The sample mean= X =0.9660

The sample size =n= 46

Standard deviation =  σ = 0.00060

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