Question

Among the entire population of homeowners, the mean loss from fire is $250.00 with a standard...

Among the entire population of homeowners, the mean loss from fire is $250.00 with a standard deviation of $1000.00.  The loss from fire by homeowners is not a normally distributed variable.  Let  be the average loss from fire for 100 randomly chosen homeowners.  Using the sampling distribution for , what is the probability that  will be greater than $450.00?  

Homework Answers

Answer #1

Solution :

Given that ,

= 250.00

= / n = 1000.00 / 100 = 100

P( > 450.00 ) = 1 - P( < 450.00 )

= 1 - P[( - ) / < (450.00 - 250.00) / 100]

= 1 - P(z < 2)   

= 1 - 0.9772

= 0.0228

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Next (1 point) An insurance company knows that in the entire population of millions of homeowners,...
Next (1 point) An insurance company knows that in the entire population of millions of homeowners, the mean annual loss from fire is μ = $100 and the standard deviation of the loss is σ = $500. The distribution of losses is strongly right skewed: most policies have $0 loss, but a few have large losses. If the company sells 10,000 policies, what is the probability that it can safely base its rates on the assumption that its average loss...
The population of quarters have a mean weight of 5.670 g and a standard deviation of...
The population of quarters have a mean weight of 5.670 g and a standard deviation of 0.062 g. The distribution of the weights is normal. What is the probability that a randomly selected quarter has a weight less than 5.600 g? What is the probability that 25 randomly selected quarters have a mean weight less than 5.600 g? The weight of full term babies is normally distributed with a mean of 7 pounds with a standard deviation of 0.6 pounds....
A population is normally distributed with a mean of 30 and a standard deviation of 4....
A population is normally distributed with a mean of 30 and a standard deviation of 4. a. What is the mean of the sampling distribution (μM) for this population? b. If a sample of n = 16 participants is selected from this population, what is the standard error of the mean (σM)? c. Let’s say that a sample mean is 32. 1) What is the z-score for a sample mean of 32? (calculate this) 2) What is the probability of...
A variable of a population has a mean of ?=150 and a standard deviation of ?=21....
A variable of a population has a mean of ?=150 and a standard deviation of ?=21. a. The sampling distribution of the sample mean for samples of size 49 is approximately normally distributed with mean __ and standard deviation __ A company sells sunscreen in 500 milliliters (ml) tubes. In fact, the amount of lotion in a tube varies according to a normal distribution with mean ?=497 ml and a standard deviation ?=5 ml. Suppose a store that sells this...
A population is normally distributed with a mean of 16.6 and a standard deviation of 0.5....
A population is normally distributed with a mean of 16.6 and a standard deviation of 0.5. A sample of size 41 is taken from the population. What is the the standard deviation of the sampling distribution? Round to the nearest thousandth.
The mean of a normally distributed data set is 112, and the standard deviation is 18....
The mean of a normally distributed data set is 112, and the standard deviation is 18. a) Use the Empirical Rule to find the probability that a randomly-selected data value is greater than 130. b) Use the Empirical Rule to find the probability that a randomly-selected data value is greater than 148. A psychologist wants to estimate the proportion of people in a population with IQ scores between 85 and 130. The IQ scores of this population are normally distributed...
IQ is normally distributed in the population with a mean of 100 and a standard deviation...
IQ is normally distributed in the population with a mean of 100 and a standard deviation of 15. For samples of 25 people, the mean of the sampling distribution of the mean is ____ and the standard error of the mean is ____. (give numeric answers) I need help with both parts, please and thank you!
A random sample of n = 100 observations is drawn from a population with mean equal...
A random sample of n = 100 observations is drawn from a population with mean equal to 21 and standard deviation equal to 20, i.e. population mean is 21 and population standard deviation is 20. Complete parts a through d below. a. What is the probability distribution of ?̅? i.e., Give the mean and standard deviation of the sampling distribution of ?̅ and state whether it is normally distributed or not. b. Find P ( 18.7 < ?̅ < 23.3...
A random sample of n = 100 observations is drawn from a population with mean equal...
A random sample of n = 100 observations is drawn from a population with mean equal to 21 and standard deviation equal to 20, i.e. population mean is 21 and population standard deviation is 20. Complete parts a through d below. a. What is the probability distribution of ?̅? i.e., Give the mean and standard deviation of the sampling distribution of ?̅ and state whether it is normally distributed or not. b. Find P ( 18.7 < ?̅ < 23.3...
A population is normally distributed with mean μ = 100 and standard deviation σ = 20....
A population is normally distributed with mean μ = 100 and standard deviation σ = 20. Find the probability that a value randomly selected from this population will have a value between 90 and 130. (i.e., calculate P(90<X<130))