e. What is the variance of the probability distribution of the number of households with landline service? c. What is the probability that exactly five of the households in the sampled group have a landline phone service? (Round your answerto 4 decimal places.)X Answer is not complete.Probabilityd. Given the probability distribution, what is the mean number of households with landline service? (Round your answer to 3 decimalplaces.)Mean American households increasingly rely on cell phones as their exclusive telephone service. It is reported that 53.0% of Americanhouseholds still have landline phone service. We decide to randomly call eight households and ask if the home has a landline phone.

It is given that n=8 and p=0.53.

Answered: c. What is the probability that exactly…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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3. The finish times for marathon runners during a race are normally distributed with a mean of 195 minutes and a standard deviation of 25 minutes. What is the probability that a runner will complete the marathon within 180 minutes?
What is the Discrete Variance when sample size is 82 with a probability of 0.82?
Rafael and his younger brother Paolo saw a damaged coin on the pavement while they were walking on their way home from school. They noticed that the coin shows a tail in four out of every five tosses. What are the mean and the variance of the number of tails that will show up if they agreed to toss the coin 50 times? mean [ Choose ] variance [ Choose ]
The likelihood that a bulb is defective is 7%, on a particular line. Eight light bulbs are randomly selected. What are the mean and variance of the number of defective bulbs?
In 1995, the median price of a PC was $1200. Suppose that a random sample of100 persons who bought their PCs during that year recorded the amount spent (byeach of them) on his/her PC. State the approximate sampling distribution of ˆp, theproportion of persons who spent more than $1200 on a PC. Find the probabilitythat more than 60% of this group spent more than $1200. NOTE: Please explain each part, so the problem can be used as a Study Guide
The likelihood that a bulb is defective is 9%, on a particular line. Ten light bulbs are randomly selected. What are the mean and variance of the number of defective bulbs?
Last year, a person wrote 118 checks. Let the random variable x represent the number of checks he wrote in one day, and assume that it has a Poisson distribution. What is the mean number of checks written per day? What is the standard deviation? What is the variance?
A researcher wanted to determine if carpeted or uncarpeted rooms contain more bacteria. The table shows the results for the number of bacteria per cubic foot for both types of rooms. A normal probability plot and boxplot indicate that the data are approximately normally distributed with no outliers. Do carpeted rooms have more bacteria than uncarpeted rooms at the a = 0.01 level of significance? Full data set O Carpeted 14.3 9.8 10.7 12.2 Uncarpeted 9.5 9.5 10.9 2.1 15 3 15.8 5.4 6.4 15.2 4.3 10.6 - X Student t-distribution Area in right tail t-Distribution Area in Right Tail Degrees of Freedom 0.25 0.20 0.15 0.10 0.05 0.025 0.02 0.01 0.005 0.0025 0.001 0.0005 1.000 0.816 0.765 0.741 1.376 1.061 0.978 0.941 0.920 1.963 1.386 1.250 1.190 1.156 3.078 1.886 1.638 1.533 6.314 2.920 2.353 2.132 12.706 4.303 3.182 2.776 2.571 15.894 4.849 3.482 2.999 2.757 31.821 6.965 4.541 3.747 3.365 63.657 9.925 5.841 4.604 4.032 127.32 1 14.089 7453 5.598 318.309 636.619 31.599 12.924 8.610 6.869 22.327…
If Y is a random variable with a mean of 30 and a standard deviation of 10, what is the probability that Y is between 35 and 40?
The likelihood that a light bulb is defective is 6%, on a particular production line. Eight light bulbs are randomly selected. What are the mean and variance of the number of defective bulbs?
Last year, a person wrote 116 checks. Let the random variable x represent the number of checks he wrote in one day, and assume that it has a Poisson distribution. What is the mean number of checks written per day? What is the standard deviation? What is the variance?

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