The following table shows the distributionof uric acid determinations taken on 250 patients. Dothese data follow a normal distribution? Test using theChi-square Goodness of Fit. **Uric Acid Determination and Observed Frequency**| Uric Acid Determination (mg/dL) | Observed Frequency ||----------------------------------|---------------------|| 0.00 - 0.99 | 1 || 1.00 - 1.99 | 5 || 2.00 - 2.99 | 12 || 3.00 - 3.99 | 27 || 4.00 - 4.99 | 46 || 5.00 - 5.99 | 50 || 6.00 - 6.99 | 42 || 7.00 - 7.99 | 30 || 8.00 - 8.99 | 22 || 9.00 - 9.99 | 10 || 10.00 or more | 5 || **TOTAL** | **250** |**Explanation**The table provides data on the distribution of uric acid levels in a sample of 250 observations. Each row categorizes the uric acid levels into ranges (e.g., 0.00 - 0.99 mg/dL) and lists the frequency (number of occurrences) within each range. The frequencies indicate how often each range appears in the sample. For example, the range 5.00 - 5.99 mg/dL has the highest observed frequency of 50.

Given data, Uric Acid Determination Observed Frequency Midpoint 0-0.99 1 0.495 1-1.99 5 1.495…

Answered: The following table shows the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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The following table shows the distribution
of uric acid determinations taken on 250 patients. Do
these data follow a normal distribution? Test using the
Chi-square Goodness of Fit.

**Uric Acid Determination and Observed Frequency**

| Uric Acid Determination (mg/dL) | Observed Frequency |
|----------------------------------|---------------------|
| 0.00 - 0.99 | 1 |
| 1.00 - 1.99 | 5 |
| 2.00 - 2.99 | 12 |
| 3.00 - 3.99 | 27 |
| 4.00 - 4.99 | 46 |
| 5.00 - 5.99 | 50 |
| 6.00 - 6.99 | 42 |
| 7.00 - 7.99 | 30 |
| 8.00 - 8.99 | 22 |
| 9.00 - 9.99 | 10 |
| 10.00 or more | 5 |
| **TOTAL** | **250** |

**Explanation**

The table provides data on the distribution of uric acid levels in a sample of 250 observations. Each row categorizes the uric acid levels into ranges (e.g., 0.00 - 0.99 mg/dL) and lists the frequency (number of occurrences) within each range. The frequencies indicate how often each range appears in the sample. For example, the range 5.00 - 5.99 mg/dL has the highest observed frequency of 50.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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