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Toss three fair coins and let x equal the number of heads observed.

  1. Identify the sample points associated with this experiment and assign a value of x to each sample point.
  2. Calculate p1x2 for each value of x.
  3. Construct a graph for p1x2.
  4. What is P(x = 2 or x = 3)?

Short Answer

Expert verified

a.

Sample PointsAssigned values
HHH3
HHT2
HTH2
THH2
HTT1
THT1
TTH1
TTT0

b. 3.36

xP(x)
1\(\frac{{\rm{1}}}{{\rm{8}}}\)
2\(\frac{{\rm{3}}}{{\rm{8}}}\)
3\(\frac{{\rm{3}}}{{\rm{8}}}\)
4\(\frac{{\rm{1}}}{{\rm{8}}}\)

c

d. 1/2

Step by step solution

01

Definition of a sample point

a.

A sample point refers to a particular value of any variable taken into consideration. In this context, a sample point refers to the observed sides of a coin when the three coins are tossed while doing an experiment.

02

Elucidation of the assigned values

There are 8 possible outcomes in the table above when the three coins are tossed where H and T represent head and tail, respectively.As x is considered to be H, the assigned values represent the number of heads that can occur when the three coins are tossed.

03

Definition of fair coin

b.

A fair coin has two sides and is denoted as head and tail.The probability of the occurrence of a side remains equal to half as both of them have an equal chance of occuring when it is tossed once.

04

Calculation of the probabilities

The calculation of the probability of occurrence of Heads is shown below:

P(0):P(Zeroheads)=Favorableeventsshowing0headsTotaleventsP(1):P(Onehead)=Favorableeventsshowing1headTotalevents=18+18+18=38

P(2):P(Twoheads)=Favorableeventsshowing2headsTotalevents=18+18+18=38

P(3):P(Threeheads)=Favorableeventsshowing3headsTotalevents=18+18+18=38

05

Definition of a probability distribution

c.

The theory of probability distribution is often used by multifarious statisticians in multifarious fields while conducting research.In this case,the researchers try to anticipate all the possible outcomes for a particular set of values.

06

Elucidation of the graph

The associated probabilities of the values of x are plotted on the graph and they are represented by blue bars. In the vertical axis, since the values are in fraction, the first second and third zeroes are values situated between 0 and 1/7.

07

Definition of probability

d.

In this context, probability refers to the chances of the number of heads occuring at a particular event of tossing three coins.This is why the values of x are from 0 to 3, representing the number of heads that can occur at a particular event.

08

Calculation

The calculation of the probability of occuring two or three heads is shown below:

P(x=2orx=3)=Favorableeventsshowing2headsTotalevents+Favorableeventsshowing3headsTotalevents=38+18=48=12

Thus, the required value is ½.

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Most popular questions from this chapter

Stock market. Give an example of a continuous random variable that would be of interest to a stockbroker.

Making high-stakes insurance decisions. The Journal of Economic Psychology (September 2008) published the results of a high-stakes experiment in which subjects were asked how much they would pay for insuring a valuable painting. The painting was threatened by fire and theft, hence, the need for insurance. To make the risk realistic, the subjects were informed that if it rained on exactly 24 days in July, the painting was considered to be stolen; if it rained on exactly 23 days in August, the painting was considered to be destroyed by fire. Although the probability of these two events, “fire” and “theft,” was ambiguous for the subjects, the researchers estimated their probabilities of occurrence at .0001. Rain frequencies for the months of July and August were shown to follow a Poisson distribution with a mean of 10 days per month.

a. Find the probability that it will rain on exactly 24 days in July.

b. Find the probability that it will rain on exactly 23 days in August.

c. Are the probabilities, parts a and b, good approximations to the probabilities of “fire” and “theft”?

The random variable x has a normal distribution with μ=1000 and σ=10.

a. Find the probability that x assumes a value more than 2 standard deviations from its mean. More than 3 standard deviations from .μ

b. Find the probability that x assumes a value within 1 standard deviation of its mean. Within 2 standard deviations of μ.

c. Find the value of x that represents the 80th percentile of this distribution. The 10th percentile.

Examine the sample data in the accompanying table.

5.9 5.3 1.6 7.4 8.6 1.2 2.1

4.0 7.3 8.4 8.9 6.7 4.5 6.3

7.6 9.7 3.5 1.1 4.3 3.3 8.4

1.6 8.2 6.5 1.1 5.0 9.4 6.4

a. Construct a stem-and-leaf plot to assess whether thedata are from an approximately normal distribution.

b. Compute sfor the sample data.

c. Find the values of QL and QU, then use these values andthe value of sfrom part b to assess whether the data comefrom an approximately normaldistribution.

d. Generate a normal probability plot for the data and useit to assess whether the data are approximately normal.

Find each of the following probabilities for the standard normal random variable z:

a.P(-z1)b.P(-1.96z1.96)c.P(-1645z1.645)d.P(-2z2)

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