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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What is the Weakness of Variance?
2. A department store receives an average of 5 returned items per day. The probability that a returned item has an available replacement is 0.65. [Hint: there are two separate distributions here.] d. e. f. Calculate the probability that there are 4 returned items and none has available replacements in a certain day. Calculate the variance and the mean of the returned items. Calculate the variance and the mean of the replaced items. 2
Compute the variances of the two random variables whose probability tables are given in Table 7. Relate the sizes of the variances to the spread of the values of the random variables. Table 7 Outcome Probability 2 .1 4 .4 (a) 6. .4 .1 2 .3 4 .2 (b) .2 8 .3
Yorkies Company has fixed costs of 25000 per month, variable costs are $20 per item produced, and selling price per unit is fixed at $22. From the past company data, you have determined that Yorkies Company's monthly output follows a normal probability distribution with mean 12000 and variance 550000. Calculate the chance that Yorkies will make a loss this month.
A company is producing christmas light strings containing 15 small bulbs.Suppose the success or failure of a bulb is independent of the success or failure of otherbulbs and the probability that a bulb is lightning properly is 0.85.a. When you order a christmas light string, what is the probability of at most 2 of thosesmall bulbs are not lightning properly.b. Find the mean and the variance of bulbs in a string that are not lightning properly.
1) The mean and variance of a sample of 25 data items are 78 and 100, respectively. Use Chebyshev's theorem to describe the distribution of the data.
P(0)= 0.2, P(2)= 0.3, P(4)=0.3, P(6)=0.2 10. What is the variance of the probability distribution?* A. 4.5 B. 4.3 C. 4.2 D. 4.6
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 does it mean that the variance (computed by dividing by N) is a biased statistic?
What is the Discrete Variance when sample size is 82 with a probability of 0.82?
2. A department store receives an average of 5 returned items per day. The probability that a returned item has an available replacement is 0.65. [Hint: there are two separate distributions here.] d. e. f. Calculate the probability that there are 4 returned items and none has available replacements in a certain day. Calculate the variance and the mean of the returned items. Calculate the variance and the mean of the replaced items. 2
It is thought that hotel guests eat at average 1.4 eggs for breakfast with the variance 1.4. Which probability distribution is appropriate to use for the average amount of eggs that 100 randomly chosen hotel guests eat? Please explain 1. Poisson distribution with mean 1.4 and variance 1.4 2. Binomial distribution with mean 1.4 and variance 0.014 3. Normal distribution with mean 1.4 and variance 0.014 4. Normal distribution with mean 1.4 and variance 1.4 5. R-command:

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