Terms and Definitions
Sampling Distributions: Sampling Means
Sampling Distributions: Sampling Proportions
Notation
Miscellaneous
100

This is the distribution of possible values of a statistic from all possible samples of the same size from the same population

What is a Sampling Distribution?

100

This is the assumption that a sampling distribution will be approximately normal if the sample size is sufficiently large, regardless of the shape of the population that the samples are drawn from.

What is the Central Limit Theorem?

100

The sampling distribution of a sample proportion is approximately normal when these two conditions are met. 

Sample size must be less than 10% of the population when sampling without replacement.(10% condition)

Sample size is large enough that np and n(1-p) are greater than or equal to 10.  (Large Count Condition)

100

mu

What is the mean of a population?

100

Mrs. McCall taught summer school at Chapel Hill High School, but her first year long teaching job was at this school.

What is Cary High School?

200

This is a number or measurement that describes a population.

What is a parameter?

200

State the formula we learned to find the standard deviation of a sample mean.

sigma(xbar) = sigma/sqrt(n)

200

State the formula we learned to find the standard deviation of a sample proportion.

sigma(p-hat) = sqrt((p(1-p))/n)

200

p-hat

What is a sample proportion?

200
Mrs. McCall named her dog after going on a tour of this type of farm.

What is Coffee?

300

This is a number or measurement that describes a sample

What is a statistic

300

In Weaksauce City, the mean length of a stay in hospitals is 5.5 days with standard deviation of 2.6 days. This distribution can't be normal, however, because hospital visits for specific injuries skew the graph strongly to the right. Consider random samples of size 100 taken from the distribution with the mean length of stay, xbar, recorded for each sample. Describe the sampling distribution of xbar.

What is approximately normal, with mean = 5.5 days and standard deviation = 0.26 days

300

Suppose 0.60 (=60%) of all voters (there are over 50,000) in Oswego County intend to vote for candidate Brown in the upcoming election. A random sample of 100 voters is taken. Find the probability that less than half of the sample intend to vote for candidate Brown.

What is 2.061%

300

sigma

What is a population standard deviation?

300

This movie/book trilogy is centered around a single piece of jewelry and a long, painful journey that a group of 9 friends go through to destroy it.

What is Lord of the Rings?

400

A statistic used to estimate a parameter is said to be this, if the mean of its sampling distribution is equal to the true value of the parameter being estimated.

What is unbiased?

400

The scores of individual students on the ACT follow a normal distribution with mean = 18.6 and standard deviation = 6.0. A random sample of 36 students from JP2 is found to have an average ACT score of 26. We conclude...

What is "it is extremely unlikely to have a sample mean of 26 from the overall population, so we can conclude that JP2 likely has a higher average ACT score"

400

A SRS of 50000 Americans found that 61% were satisfied with the service provided by the dealer from which they bought their car. A SRS of 1000 Canadians found that 58% were satisfied. Compare the sampling variability associated with these two statistics. 

What is "the sampling variability in the Canadian samples is much greater than in the American samples due to the difference in sample size"?
400

Mux-bar

What is the mean of a sampling distribution of means?
400

This famous hero often performs as Marvel's flagship character and stands as one of their most memorable single heroes in the Marvel universe due to his every-man nature and down-to-earth struggles as a high school student and young man.

Who is Spiderman?

500

For a reliable statistic, we want these two things.

What are low bias and low variability?

500

At a candle company, machine 1 produces candles with a mean length of 15 cm and a sd of 0.15 cm. Machine 2 produces candles with a mean lenght of 15 cm and a sd of 0.10 cm. Random samples of 49 are taken from each machine. Describe the sampling distribution of x-bar (M1) minus x-bar (M2).

What is "normal due to CLT and 49>30, center is 0, stanard deviation is 0.026?" 10% condition holds because 49<0.10(all candles made by each machine).

500

Assume that 2% of all products that come off a company's assembly line are defective. The company produces thousands each day. An SRS of 500 of these products is drawn.  What is the probability that more than 3% are defective?

What is 5.511%

500

sigmap-hat1 - p-hat2

The standard deviation of the sampling distribution for a difference in sample proportions

500

This team called a timeout in the final seconds of the 1993 NCAA championship basketball game, sealing the victory for their opponent. 

Who is the University of Michigan?

(Chris Weber)