Pew Research reported in 2012 that the typical response rate to their surveys is only 9%. If for a particular survey 13,000 households are contacted, what is the probability that at least 1,400 will agree to respond?

0% probability that at least 1,400 will agree to respond

Step-by-step explanation:

We use the binomial approximation to the normal to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

The standard deviation of the binomial distribution is:

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean and standard deviation , the zscore of a measure X is given by:

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that , .

In this problem, we have that:

So

If for a particular survey 13,000 households are contacted, what is the probability that at least 1,400 will agree to respond?

This probability is 1 subtracted by the pvalue of Z when X = 1400. So

has a pvalue of 1.

1 - 1 = 0

0% probability that at least 1,400 will agree to respond

answer: the answer is 30 miles per hour.

ft/s -> mphmph = ft/s 1.466667mph = 44 divided by 1.466667mph = 30.00000

- r3ktforgood ☕