Distributions
Confidence Intervals
Hypothesis Testing
Sampling Distributions
100

Represents the spread of the distribution

Standard Deviation

100

Also known as alpha risk

Level of significance

100

This claim is assumed to be true in a hypothesis test

Null hypothesis

100

Suppose ‘Buffalonians’ drive an average of 12,000 miles per year with a standard deviation of 2,580 miles per year. What is the probability that a randomly selected driver will drive more than 12,500 miles?

0.4232

200

The center of the distribution

The mean

200

Increasing this will increase the width of a confidence interval for a population mean

Level of confidence

200

When you fail to reject a false null hypothesis

Type II error

200

Suppose ‘Buffalonians’ drive an average of 12,000 miles per year with a standard deviation of 2,580 miles per year. What is the probability that a randomly selected sample of 36 drivers will drive, on average, more than 12,500 miles?

    

0.1225

300

Causes the curve to becomes tall and narrow

The decrease in the standard deviation of a normal distribution

300

For a confidence level of 98%, find the Z-critical value. (Report answer to 3 decimal places)

2.326

300

The probability of observing the experiment result, a sample mean, for example, or something more unusual just by chance if the null hypothesis is true

P-value

300

Suppose American Express reports that credit card balances are normally distributed, with a mean of $2800 & a standard deviation of $500. What is the probability that a randomly selected credit card holder has a credit card balance less than $2500?

0.2743

400

Causes the curve to shift to the right

Increase in the mean of a normal distribution

400

A random sample of 30 UB students finds an average commute time of 20 minutes with a sample standard deviation of 10 minutes. Assuming commute time follows a normal distribution construct a 95% confidence interval for the average commute time for all UB North students. (Report answer to 2 decimal places)

LL: 16.27, UL: 23.73

400

H0:μ=53.5
H1:μ≠53.5

Your sample consists of 47 subjects, with a mean of 54 and a sample standard deviation (s) of 4.2.

Calculate the test statistic. (Report answer to 2 decimal places)

t = 0.82

400

Suppose American Express reports that credit card balances are normally distributed, with a mean of $2800 & a standard deviation of $500. You randomly select 25 credit card holders. What is the probability that their mean credit card balance is less than $2500?

0.0013

500

Indicates by how many standard deviations a score is above or below the mean

Z-Scores

500

The number of standard errors (or standard deviations) to move from the mean of a sampling distribution to correspond to a specified level of confidence.

Critical Value

500

You wish to test the following claim (Ha) at a significance level of α=0.005α

      Ha:μ≠66.6

You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size n=9 with mean x̅=82.9 and a standard deviation of s=12.9 

What is the p-value for this sample? (Report answer accurate to four decimal places)

P-value = 0.0053

500

Suppose American Express reports that credit card balances are normally distributed, with a mean of $2800 & a standard deviation of $500. You randomly select 5 credit card holders. What is the probability that their mean credit card balance is between $2000 and $2500?

0.0897