An octahedral die has eight faces numbered from 1 to 8. The random vài obtained when the die is thrown. The bias of the die is such that for r= 1, 2, 3, 4, 5 P(X=r)=c P(X=r) =d for r= 6, 7, 8 P(X< 6) = P(X>6) Compute the values of c and d. Estimate that E(X) = 5 and find the variance of X. The die is thrown twice. Calculate the probability that the sum of the two scores is 10. (ii) 0oores when the die is thrown 48 times.

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 32E
icon
Related questions
Question
An octahedral die has eight faces numbered from 1 to 8. The random variable X is the score
obtained when the die is thrown. The bias of the die is such that
P(X=r)=c
for r= 1, 2, 3, 4, 5
P(X=r) = d
for r= 6, 7, 8
P(X< 6) = P(X> 6)
Compute the values of c and d.
Estimate that E(X) = 5 and find the variance of X.
The die is thrown twice. Calculate the probability that the sum of the two scores is 10.
The random variable Y is the sum of the scores when the die is thrown 48 times.
Measure the mean and variance of Y.
(iii)
(iv)
Assuming that Y has a normal distribution, write the probability that Y lies between 220
and 260 inclusive.
(v)
Transcribed Image Text:An octahedral die has eight faces numbered from 1 to 8. The random variable X is the score obtained when the die is thrown. The bias of the die is such that P(X=r)=c for r= 1, 2, 3, 4, 5 P(X=r) = d for r= 6, 7, 8 P(X< 6) = P(X> 6) Compute the values of c and d. Estimate that E(X) = 5 and find the variance of X. The die is thrown twice. Calculate the probability that the sum of the two scores is 10. The random variable Y is the sum of the scores when the die is thrown 48 times. Measure the mean and variance of Y. (iii) (iv) Assuming that Y has a normal distribution, write the probability that Y lies between 220 and 260 inclusive. (v)
Expert Solution
steps

Step by step

Solved in 8 steps

Blurred answer
Knowledge Booster
Multivariate Distributions and Functions of Random Variables
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.
Recommended textbooks for you
Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:
9781133382119
Author:
Swokowski
Publisher:
Cengage