Supplementary Review a. Suppose a life insurance company insures the lives of 4,000 women aged 50. If the actual studies show the probability that any 50-year-old woman will die in given year to be 0.2%, find the probability that the company will have to pay 5 claims during a given year. b. According to social survey 90% of young professionals have motorcycle. Assume that this result holds true for the current population of young professional. Find the probability that in sample of 10 young professional at least 9 have motorcycles. Distribution.
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!
![Illustrate a random variable (discrete and continues).
V Distinguish between discrete and a continues random variable.
Find the possible value and random variable
V Illustrate a probability distribution for a discrete random variable and its properties
V Construct the probability mass function of a discrete random variable and its
corresponding histogram
v Compute probabilities corresponding to the given random variable.
Illustrate the mean and variance of a discrete random variable
V Calculate the mean and the variance of a discrete random variable.
V Interpret the mean and the variance of a discrete random variable.
V Solve problem involving mean and variance of probability distributions.
REVIEW
Exploration
Supplementary Review
a. Suppose a life insurance company insures the lives of 4,000 women aged 50. If the actual studies
show the probability that any 50-year-old woman will die in given year to be 0.2%, find the
probability that the company will have to pay 5 claims during a given year.
b. According to social survey 90% of young professionals have motorcycle. Assume that this result
holds true for the current population of young professional. Find the probability that in sample of 10
young professional at least 9 have motorcycles.
Reviewing the Junior High School properties in Probability Distribution.
DISCUSSION
Basic concepts
This section we discuss some basic concept of probabilities, types, rules and also mean andanNnce
formula that will be beneficial before we dwell into random variable and probability distribulns The
ng a card from an ordinary deck cards refers to
result calle](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F13a9781d-54b9-4b87-b0b4-52178601395d%2F7e8a8528-ea4c-4802-9027-83e74c56c184%2F8rd54ef_processed.jpeg&w=3840&q=75)
![](/static/compass_v2/shared-icons/check-mark.png)
Step by step
Solved in 4 steps
![Blurred answer](/static/compass_v2/solution-images/blurred-answer.jpg)
![A First Course in Probability (10th Edition)](https://www.bartleby.com/isbn_cover_images/9780134753119/9780134753119_smallCoverImage.gif)
![A First Course in Probability](https://www.bartleby.com/isbn_cover_images/9780321794772/9780321794772_smallCoverImage.gif)
![A First Course in Probability (10th Edition)](https://www.bartleby.com/isbn_cover_images/9780134753119/9780134753119_smallCoverImage.gif)
![A First Course in Probability](https://www.bartleby.com/isbn_cover_images/9780321794772/9780321794772_smallCoverImage.gif)