(a) What is the probability that the amount of collagen is greater than 66 grams per mililiter? answer: (b) What is the probability that the amount of collagen is less than 80 grams per mililiter? answer: (c) What percentage of compounds formed from the extract of this plant fall within 2 standard deviations of the mean? answer:
(a) What is the probability that the amount of collagen is greater than 66 grams per mililiter? answer: (b) What is the probability that the amount of collagen is less than 80 grams per mililiter? answer: (c) What percentage of compounds formed from the extract of this plant fall within 2 standard deviations of the mean? answer:
(a) What is the probability that the amount of collagen is greater than 66 grams per mililiter? answer: (b) What is the probability that the amount of collagen is less than 80 grams per mililiter? answer: (c) What percentage of compounds formed from the extract of this plant fall within 2 standard deviations of the mean? answer:
The extract of a plant native to Taiwan has been tested as a possible treatment for Leukemia. One of the chemical compounds produced from the plant was analyzed for a particular collagen. The collagen amount was found to be normally distributed with a mean of 76 and standard deviation of 6.9 grams per mililiter.
Transcribed Image Text:**Probability and Statistics in Plant Extracts**
In this exercise, we will explore probabilities related to the concentration of collagen in a plant extract. Answer the following questions to assess your understanding.
(a) **What is the probability that the amount of collagen is greater than 66 grams per milliliter?**
- **Answer:** [ ]
(b) **What is the probability that the amount of collagen is less than 80 grams per milliliter?**
- **Answer:** [ ]
(c) **What percentage of compounds formed from the extract of this plant fall within 2 standard deviations of the mean?**
- **Answer:** [ ] %
Use this information to calculate probabilities or related statistical values. Remember, these questions are based on a hypothetical dataset and the principles of probability and statistics.
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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