Refer to the above problem. Suppose you randomly survey 11 California residents. We are interested in the number who have adequate earthquake supplies.
What is the probability that at least 8 have adequate earthquake supplies?
Is it more likely that none or that all of the residents surveyed will have adequate earthquake supplies? Why?
How many residents do you expect will have adequate earthquake supplies?
0.0043
none
3.3
The next 2 questions refer to the following: In one of its Spring catalogs, L.L. Bean® advertised footwear on 29 of its 192 catalog pages.
Suppose we randomly survey 20 pages. We are interested in the number of pages that advertise footwear. Each page may be picked at most once.
How many pages do you expect to advertise footwear on them?
Is it probable that all 20 will advertise footwear on them? Why or why not?
What is the probability that less than 10 will advertise footwear on them?
Suppose we randomly survey 20 pages. We are interested in the number of pages that advertise footwear. This time, each page may be picked more than once.
How many pages do you expect to advertise footwear on them?
Is it probable that all 20 will advertise footwear on them? Why or why not?
What is the probability that less than 10 will advertise footwear on them?
Reminder: A page may be picked more than once. We are interested in the number of pages that we must randomly survey until we find one that has footwear advertised on it. Define the random variable X and give its distribution.
What is the probability that you only need to survey at most 3 pages in order to find one that advertises footwear on it?
How many pages do you expect to need to survey in order to find one that advertises footwear?
3.02
No
0.9997
0.3881
6.6207 pages
Suppose that you roll a fair die until each face has appeared at least once. It does not matter in what order the numbers appear. Find the expected number of rolls you must make until each face has appeared at least once.
Try these multiple choice problems.
For the next three problems : The probability that the San Jose Sharks will win any given game is 0.3694 based on a 13 year win history of 382 wins out of 1034 games played (as of a certain date). An upcoming monthly schedule contains 12 games.
Let
$X$ = the number of games won in that upcoming month.
The expected number of wins for that upcoming month is:
1.67
12
$\frac{382}{1043}$
4.43
D: 4.43
What is the probability that the San Jose Sharks win 6 games in that upcoming month?
0.1476
0.2336
0.7664
0.8903
A: 0.1476
What is the probability that the San Jose Sharks win at least 5 games in that upcoming month
0.3694
0.5266
0.4734
0.2305
C: 0.4734
For the next two questions : The average number of times per week that Mrs. Plum’s cats wake her up at night because they want to play is 10. We are interested in the number of times her cats wake her up each week.
In words, the random variable
$X$ =
The number of times Mrs. Plum’s cats wake her up each week
The number of times Mrs. Plum’s cats wake her up each hour
The number of times Mrs. Plum’s cats wake her up each night
The number of times Mrs. Plum’s cats wake her up
A: The number of times Mrs. Plum's cats wake her up each week
Questions & Answers
I only see partial conversation and what's the question here!
Do u think that Graphene and Fullrene fiber can be used to make Air Plane body structure the lightest and strongest.
Rafiq
Rafiq
what is differents between GO and RGO?
Mahi
what is simplest way to understand the applications of nano robots used to detect the cancer affected cell of human body.?
How this robot is carried to required site of body cell.?
what will be the carrier material and how can be detected that correct delivery of drug is done
Rafiq
The nanotechnology is as new science, to scale nanometric
brayan
nanotechnology is the study, desing, synthesis, manipulation and application of materials and functional systems through control of matter at nanoscale
Damian
Is there any normative that regulates the use of silver nanoparticles?
Source:
OpenStax, Collaborative statistics (custom lecture version modified by t. short). OpenStax CNX. Jul 15, 2013 Download for free at http://cnx.org/content/col11543/1.1
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