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

Cholesterol levels

157	308	205	306	301	279	253
306	280	223	206	302	217	169
223	257	150	290	302	301	176
318	288	149	195	280	257	214


Find the five-number summary and interquartile range (IQR), and draw a boxplot.
Min = 
.
Q1 = 
.
Q2 = 
.
Q3 = 
.
Max = 
.
IQR = 
.

Here is the boxplot representing the cholesterol levels two days after a heart attack. The red line inside the box indicates the median (Q2 = 257), and the box itself spans from Q1 (205.5) to Q3 (301). The whiskers extend to the minimum (149) and maximum (318) values.

Would you like more details or have any other questions?

Here are five related questions for further exploration:
1. How are outliers identified in a boxplot?
2. What is the importance of the interquartile range (IQR) in statistics?
3. How would changing one data point affect the five-number summary?
4. Can you calculate the standard deviation for this data set?
5. What is the significance of cholesterol levels in heart attack recovery?

**Tip:** In a boxplot, values outside the whiskers are considered potential outliers, which might indicate unusual or extreme observations.

Cholesterol levels collected from patients two days after they had a heart attack are in the table. Find the five-number summary and interquartile range (IQR), and draw a boxplot.

Learn how to calculate the five-number summary and interquartile range (IQR) of cholesterol levels collected from patients two days after a heart attack. The data includes the minimum value (149), first quartile (205.5), median (257), third quartile (301), and maximum value (318). The interquartile range is Q3 - Q1 = 95.5.

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