Use the table to answer the question. Note: Round z-scores to the nearest hundredth and then find the required A values using the table. The cholesterol levels of a group of young women at a university are normally distributed, with a mean of 186 and a standard deviation of 35. What percent of the young women have the following cholesterol levels? (Round your answers to one decimal place.) (a) greater than 224 % (b) between 188 and 222
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
Use the table to answer the question. Note: Round z-scores to the nearest hundredth and then find the required A values using the table.
The cholesterol levels of a group of young women at a university are
%
(b) between 188 and 222
![**Area Under the Standard Normal Curve**
This table provides the cumulative area under the standard normal curve for a given z-score (z). It shows the area (A) from the mean (0) to the specified z-score. This is useful for finding probabilities associated with normal distributions.
The table is structured with two columns per z-score increment:
- **z** - The z-score value.
- **A** - The cumulative area corresponding to the z-score.
For example, if you are looking for the area to the left of a z-score of 1.50, you find 1.5 under the z column and then move across to get the area as 0.4332.
Here's a portion of the table for better understanding:
| z | A | z | A | z | A | z | A | z | A | z | A |
|------|-------|------|-------|------|-------|------|-------|------|-------|------|-------|
| 0.00 | 0.000 | 0.56 | 0.212 | 1.12 | 0.369 | 1.68 | 0.454 | 2.24 | 0.487 | 2.80 | 0.497 |
| 0.01 | 0.004 | 0.57 | 0.216 | 1.13 | 0.371 | 1.69 | 0.454 | 2.25 | 0.488 | 2.81 | 0.498 |
| 0.02 | 0.008 | 0.58 | 0.219 | 1.14 | 0.373 | 1.70 | 0.456 | 2.26 | 0.489 | 2.82 | 0.498 |
| 0.03 | 0.012 | 0.59 | 0.222 | 1.15 | 0.375 | 1.71 | 0.457 | 2.27 | 0.489 | 2.83 | 0.498 |
| 0.04 | 0.016 | 0.60 | 0.226 | 1.16 | 0.377 | 1.72 | 0.457 | 2](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F87ee8f8b-2676-4da5-af78-cc3c571d37d8%2F27f3cb0d-3f3e-4dcc-8a6c-56f66f2b34c0%2F1c8dag4_processed.gif&w=3840&q=75)
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