In the United States, 35% of households own a 4K television. Suppose we take a random sample of 150 households.
(a) Describe the distribution of the sample proportion.
(b) What is the probability that in this sample of 150 households that more than 50% own a 4K television?
a) By the central limiting theorem, the distribution of
proportion is normal with mean equal to population proportion that
is
and standard deviation equal to
b) Define standard random variable z as
Then using normal table we have the required probability is
In the United States, 35% of households own a 4K television. Suppose we take a random...
Suppose that in the population, exactly 56% of all households own at least one pet. If we take many simple random samples of 1000 households from this population, the sample proportion who own at least one pet will vary from sample to sample. The sampling distribution of the sample proportion would be close to Normal and would have a center equal to what value? A 0.0157 B 0.0316 C 0.0002 D 0.0056 E 0.5600
Suppose the proportion of people affected by gluten sensitivity in the United States is 0.2. If we let (p^) be the proportion in a random sample of size n = 120, write the mean, standard deviation and sampling distribution of sample proportion, and find the approximate probability that the value of (p^) is less than the population proportion (p) by 0.01 or more within 0.01 of the p not within 0.01 of the p
Eighty percent of households in the United States have cable internet. A random sample of 10 households is selected. What is the probability that at least 6 of the households selected have cable internet? A. 0.1209 B. 0.9672 C. 0.8791 D. 0.0328 E. None of the above
ome he proportion of adult women in the United States is approximately 51%. A marketing survey telephones 300 people at random. (a) (3pts) What is the sampling distribution of the observed proportion that are women? State your answer with the mean and the standard deviation. 30 o (b) (3pts) would you be surprised to find 56% women in a sample of size 300? Explain. (c) (2 pts) What is the probability that more than S0% women in this survey? (d)...
According to Nielsen Media Research, the average number of hours of TV viewing per household per week in the United States is 50.4 hours. Suppose the standard deviation is 11.8 hours and a random sample of 42 U.S. households is taken. A. What is the probability that the sample average is more than 52 hours? B. What is the probability that the sample average is less than 47.5 hours? C. What is the probability that the sample average is less than 40 hours?...
Suppose the American Kennel Club estimates that 36% of households in U.S. have a pembroke welsh corgi. A random sample of 400 households is taken. A) What is the probability that the sample proportion is more than 40%? B) what is the probability that the sample proportion is within .04 of P? C) what is the probability the sampling error is 5% or less?
ian Automotive, 35% of all car-owning households have three or more 5 car ording to the Experi (a) I n a random sample of 20 car-owning households, wh have three or more cars? at is the probability that exactly In a random sample of 20 car-owning households, what is the probability that less or equal to 4 households have three or more cars? (b) (e) In a random sample of 20 car-owning households, what is the probability that greater than...
Suppose that we wish to assess whether more than 60 percent of all U.S. households in a particular income class bought life insurance last year. That is, we wish to assess whether p, the proportion of all U.S. households in the income class that bought life insurance last year, exceeds .60. Assume that an insurance survey is based on 1,000 randomly selected U.S. households in the income class and that 640 of these households bought life insurance last year. a) Assuming...
Exercise 1: Suppose we wish to assess whether more than 60% of all U.S. households in a particular income class bought life insurance last year. An insurance survey is based on 100 randomly selected U.S. households in the income class and 64 bought life insurance last year. Assuming p = 0.60, 1) What the mean for the sampling distribution of proportions? 2) What is the standard deviation for the sampling distribution of proportions? 3) What is the probability of observing...
The Food Marketing Institute shows that of households
spend more than per week on groceries. Assume the
population proportion is and a simple random sample of
households will be selected from the population. Use
z-table.
a. Calculate the sampling distribution of , the
proportion of households spending more than per week on
groceries.
(to 2 decimals)
(to 4 decimals)
b. What is the probability that the sample
proportion will be within of the population proportion
(to 4 decimals)?
eBook The Food Marketing Institute shows that...