A message consists of a string of bits 0s and 1s due to, Ask an Expert

Statistics

A message consists of a string of bits (0s and 1s). Due to noise in the communications channel, each bit has probability 0.3 of being reversed (i.e., a 1 will be changed to a 0 or a 0 to a 1). To improve the ac- curacy of the communication, each bit is sent five times, so, for example, 0 is sent as 00000. The re- ceiver assigns the value 0 if three or more of the bits are decoded as 0, and 1 if three or more of the bits are decoded as

1. Assume that errors occur independently.

a. A 0 is sent (as 00000). What is the probability that the receiver assigns the correct value of 0?

b. Assume that each bit is sent n times, where n is an odd number, and that the receiver assigns the value decoded in the majority of the bits. What is the minimum value of n necessary so that the probability that the correct value is assigned is at least 0.90?

View complete question

Statistics and Probability, Statistics

Category:- Statistics and Probability
Reference No.:- M91724981

Have any Question?Write your Review or question?

Related Questions in Statistics and Probability

Abbb-rated corporate bond has a yield to maturity of 128

A? BBB-rated corporate bond has a yield to maturity of 12.8 %. A U.S. treasury security has a yield to maturity of 11.4 %. These yields are quoted as APRs with semiannual compounding. Both bonds pay? semi-annual coupons ...

Emmons corporation has a 02 probability of a return of 054

Emmons Corporation has a 0.2 probability of a return of 0.54, a 0.3 probability of a rate of return of 0.05, and the remaining probability of a 0.1 rate of return. What is the variance in the expected rate of return of E ...

On a correlation matrix you will usually see two values per

On a correlation matrix, you will usually see two values per comparison. The top value for a correlation measurement will be the Pearson correlation, right under that you will see a p-value. I understand when you have a ...

A doctor wants to predict the birth weight of a newborn

A doctor wants to predict the birth weight of a newborn baby (measured in grams) based on the gestational age (measured in weeks) at the time of birth. The doctor uses 11 data points, with births ranging from 29 weeks to ...

An independent measures study with n 6 in each sample

An independent measures study with n = 6 in each sample, produces a sample mean difference of 4 points and a pooled variance of 12. What is the value for the t statistic?

Large purple dress inc has some bond outstanding with a 625

Large purple dress INC. HAS SOME BOND OUTSTANDING WITH A 6.25% COUPON AND FOUR YEARS REMAINING UNTIL maturity. Since these bond were issued, interest rates has increased, these bonds are now trading at a 7.375% YTM. Reme ...

1 given the following capital project datacost of

1. Given the following capital project data Cost of automation system (invoice):$730,000 Transportation and installation:$140,000 Training:$100,000 Firm's WACC:9% Firm's tax rate:35% Depreciation 5 years, straight line L ...

Why is sustainability in the sport industry linked to the

Why is sustainability in the sport industry linked to the green movement?

Butterfly tractors had 1850 million in sales last year cost

Butterfly Tractors had $18.50 million in sales last year. Cost of goods sold was $8.90 million, depreciation expense was $2.90 million, interest payment on outstanding debt was $1.90 million, and the firm's tax rate was ...

How does a histogram help us know the probability of

How does a histogram help us know the probability of getting a certain value for a variable? In other words how does the histogram relate to probability?

4,153,160 Questions Asked
13,132 Experts
2,558,936 Questions Answered

Ask Experts for help!!

Looking for Assignment Help?

Start excelling in your Courses, Get help with Assignment

Write us your full requirement for evaluation and you will receive response within 20 minutes turnaround time.

Ask Now Help with Problems, Get a Best Answer

Recent Questions

Ask Statistics and Probability Expert