Asked by Gmagic26

# I need the following assignments answers. The assignments and...

I need the following assignments answers. The assignments and ebook chapters are below.

Answer the following questions in a Word document:
Is the binomial distribution a discrete probability distribution or a continuous
probability distribution? Explain.
If you are tossing a fair coin 10 times, what is the probability of getting exactly 4
heads out of the 10 coin tosses?
If you are tossing a fair coin 10 times, what is the probability of getting exactly 9
heads out of the 10 coin tosses?
If you are tossing a fair coin 10 times, what is the probability of getting 4 OR 5 heads
out of the 10 coin tosses?
The probability that an archer hits a target on a given shot is .7. If Fve shots are Fred,
Fnd the probability that the archer hits the target on three shots out of the Fve.
The probability that an archer hits a target on a given shot is .7. If Fve shots are Fred,
Fnd the probability that the archer doesn’t ever hit the target during the Fve shots.
The probability that an archer hits a target on a given shot is .7. If Fve shots are Fred,
Fnd the probability that the archer hits the target on all Fve shots.

1 page

Problem Set
1.
Consider the experiment of tossing a fair coin four times. The coin has two possible outcomes,
heads or tails.
a.
List the sample space for the outcomes that could happen when tossing the coin
four times. For example, if all four coin tosses produced heads, then the outcome
would be HHHH.
b.
If each outcome is equally likely, what is the probability that all four coin tosses
result in heads? Notice that the complement of “all four heads” is “at least one tail.”
Using this information, compute the probability that there will be at least one tail out
of the four coin tosses.
2.
Suppose you roll a single fair die and note the number rolled.
a.
What is the sample space for a single roll of a fair die? Are the outcomes equally
likely?
b.
Assign probabilities to the outcomes in the sample space found in part (a). Do these
probabilities add up to 1? Should they add up to 1? Why?
c.
What is the probability of getting a number less than 4 on a single roll?
d.
What is the probability of getting a 1 or a 2 on a single roll?
3. Suppose we are interested in studying movie ratings where movies get rated on a ±ve star
scale. One star means the critic thought the movie was horrible, and ±ve stars means the critic
thought it was one of the best movies of the year. Here is a frequency table for all the movies
rated by this critic for the year:
a.
Using this
information, if we chose a movie from
this group
at random, what is the probability that
the movie
received a:
1
star rating?
2
star rating?
3
star rating?
4
star rating?
5
star rating?
b.
Do the probabilities from part (a) add up to 1? Why should they? What is the sample
space in this problem?
4.
Given P(A) = 0.6 and P(B) = 0.3
a.
If A and B are mutually exclusive events, compute P(A or B).
b.
If P(A and B) = 0.2, compute P(A or B).
c.
If A and B are independent events, compute P(A and B).
d.
If P(B|A) = .1, compute P(A and B).
5.
Consider the following events for a college professor selected at random:
A = the professor has high blood pressure
B = the professor is over 50 years old
Translate each of the following scenarios into symbols. For example, the probability a professor has
high blood pressure would be P(A).
a.
The probability a professor has low blood pressure.
1
Copyright©2011 Cengage Learning. All Rights Reserved
Rating
Number of movies
that got that rating
1 Star
28
2 Star
123
3 Star
356
4 Star
289
5 Star
56

3 pages

Instuctor’s Annotated Edition
Understandable
Statistics
Concepts and Methods
Australia • Brazil • Japan • Korea • Mexico • Singapore •
Spain • United Kingdom • United States
Charles Henry Brase
Regis University
Corrinne Pellillo Brase
Arapahoe Community College
TENTH EDITION
Copyright 2010 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s).
Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

58 pages

Instuctor’s Annotated Edition
Understandable
Statistics
Concepts and Methods
Australia • Brazil • Japan • Korea • Mexico • Singapore •
Spain • United Kingdom • United States
Charles Henry Brase
Regis University
Corrinne Pellillo Brase
Arapahoe Community College
TENTH EDITION
Copyright 2010 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s).
Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

77 pages

Understand the Defnition oF Probability
video link
Complete the Following in a Word document:
Write an original defnition oF probability based on what you have read
and what you observed in the video.
Write an original defnition oF sample space based on what you have
read and what you observed in the video.
Write an original defnition oF event based on what you have read and
what you have observed in the video.
Write an original defnition oF probability distribution based on what
you have read and what you observed in the video.
Write out the sample space For a single toss oF a Fair coin.
Write out the probability oF rolling an odd number iF you are rolling a
regular six-sided die.
Write out the probability oF rolling a number greater than 4 iF you are
rolling a regular six-sided die.
Write an event where the probability oF that event is 0 iF you are rolling
a regular six-sided die.

1 page