WorksheetsUnit 7 AP Statistics
Total questions: 10
Worksheet time: 19mins
A polling company is considering three sampling procedures over a specific population. Which of the following would have greatest variability?
80 samples of size 20
50 samples of size 50
20 samples of size 80
A company has 500 employees and wants to evaluate a proportion using the distribution of sample proportions and normal curve. Under which circumstance will they be able to do this?
n = 80, p = .2
n = 40, p = .2
n = 40, p = .9
n = 30, p = .4
The average points scored in an NBA game is 220 with a standard deviation of 18. Determine the likelihood that a sample of 10 games would have a mean greater than 230.
0.0395
0.0817
0.2893
Cannot be determined
The average points scored in an NBA game is 220 with a standard deviation of 18. Determine the likelihood that a random sample of 40 games would have a mean less than 225.
Cannot be determined
0.9605
0.6094
0.8563
Bias is similar to ______ while variability is similar to _____.
precision, accuracy
accuracy, precision
skewed curves, normal curves
random samples, non-random samples
10% of people are left handed. If 800 people are randomly selected, find the likelihood that at least 12% of the sample is left handed.
0.0297
0.0106
0.0409
0.0816
10% of people are left handed. Of the following, what is the smallest sample size needed to be at least 90% sure that the sample proportion will be between 9% and 11%?
1500
2000
2500
3000
A specific brand of potato chips sells bags such that the weights are N(8,0.5). If the probability that a sample of n bags has an average weight over 8.2 ounces is 0.0548, what sample size was used?
4
16
36
64
Which of the following is the central limit theorem used for?
The standard deviation of the distribution of sample means is found by dividing the population standard deviation by n.
The distribution of sample means will be approximately normal if the sample size is at least 30.
The distribution of sample proportions is approximately normal if both np and n(1 - p) are greater than or equal to 10.
As sample size increases, variability decreases.
53.2% of applicants are accepted into UConn. In a sample of 100 UConn applicants, 45 of them were accepted. What is the parameter?
All UConn applicants.
The 100 applicants in the sample.
53.2% acceptance rate.
45% of accepted in sample.
