Cholesterol levels collected from patients two days after they had a heart attack are in the table.

Cholesterol levels
313	222	210	300	181	269	144
144	198	187	244	241	279	217
157	313	171	195	187	155	146
220	200	168	304	220	309	173

Find the mean, median, range, variance, and standard deviation using technology. Round to the nearest tenth, if necessary.

For the given cholesterol levels, the statistical measures are:

- **Mean**: 216.7
- **Median**: 205.0
- **Range**: 169
- **Variance**: 3078.6
- **Standard Deviation**: 55.5

Would you like more details or have any questions?

Here are 5 related questions you can explore:
1. How does the mean change if an additional cholesterol value is added?
2. What is the difference between sample variance and population variance?
3. How is the range influenced by extreme values in the dataset?
4. What is the importance of the standard deviation in medical statistics?
5. Can you explain how skewness might affect the median and mean?

**Tip:** The standard deviation is a critical measure for understanding the variability of data around the mean—especially useful in medical data analysis to assess consistency.

Cholesterol levels collected from patients two days after they had a heart attack are in the table. Cholesterol levels 313 222 210 300 181 269 144 144 198 187 244 241 279 217 157 313 171 195 187 155 146 220 200 168 304 220 309 173. Find the mean, median, range, variance, and standard deviation using technology. Round to the nearest tenth, if necessary.

Learn how to calculate the mean, median, range, variance, and standard deviation for cholesterol levels collected from patients after a heart attack. This problem involves key statistical concepts such as measures of central tendency and measures of spread, suitable for students in Grades 10-12.

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