Symbols and Their Meanings
Testing Normality and Variability
Sampling Distributions
The Normal Distribution
Estimating and Interpreting Statistics
100

When dealing with sampling distributions, the letter n represents this.

What is the sample size?

100

According to the Central Limit theorem, we can assume a sampling distribution will be normal if n is at least 30 OR if this condition is met. 

The population distribution is normal.

100

Given a sampling distribution of the difference of sample proportions from different populations, the mean of the sampling distribution is calculated by this. 

What is p1 - p2 or the difference of the proportions?

100

This is the name used to describe the shape of a normal distribution.

What is the bell-curve? (or symmetric AND unimodal)

100

A certain statistic a is being used to estimate a population parameter A. The expected value of a is larger than A. Statistic a is exhibiting this property. 

What is a is biased?

200

When talking about a population parameter, the letter p represents this. 

What is the population proportion?

200

These conditions need to be met for a sampling distribution of a sample proportion to be approximately normal. 

What is np greater than 10 and n(1-p) greater than 10?

200

In a certain region of the country, the proportion of the population with blue eyes is currently 34 percent. A random sample of 84 people will be selected from the population. This is the mean of the sampling distribution of the sample proportion of people with blue eyes for samples of size 84.

What is 0.34?

200

Given a normal distribution, this percentage of the data will be contained within 2 standard deviations of the mean. 

What is 95%?

200
A researcher wants to cut his standard deviation by a quarter. To do this, he will have to increase his sample size by this much. 

What is by a factor of 16?

300

When talking about a statistic for the sampling distribution, this Greek letter represents the mean.

What is mu

300

Given a sampling distribution of a sample mean where the population distribution is uniform, this is how we determine if the sampling distribution will be normal. 

What is n is at least 30?

300

Given a sampling distribution of a sample mean, this is how we calculate the standard deviation of the sampling distribution. 

What is sigma/sqrt(n)?

300

Given a normal distribution with mean 50 and standard deviation of 5, this represents the middle 68 percent of the data.

What is 45 to 55?

300

The distribution of the number of siblings for students at a large high school is skewed to the right with mean 2.4 siblings and standard deviation 1.1 sibling. A random sample of 25 students from the high school will be selected, and the mean number of siblings in the sample will be calculated. This best describes the shape and standard deviation of the sampling distribution.

What is approximately normal and SD < 1.1 (= 1.1/5 or 0.22)?

400

When talking about a statistic for the sampling distribution, this Greek letter represents the standard deviation. 

What is sigma?

400
Given two sampling distributions of the same population, with nA = 50 and nB = 100, we can say this about the sampling distributions means and variances. 
Means will be approximately equal, variance A > variance B
400

At a national convention attended by many educators, about 25 percent of the attendees are from the northeast. Of all the attendees of the national convention, 25 will be selected at random to receive a free book. These are the mean and standard deviation of the sampling distribution of the proportion of attendees from the northeast for samples of size 100

Mean = .25, standard deviation = 0.0433

400

Given a normal distribution with mean 50 and standard deviation 5, this is the probability of randomly selecting a value below 43.

What is 0.081? (or 8.1%)

400

A survey of 75 randomly selected dentists in the state of Virginia results in 64% who would recommend the use of a certain toothpaste. The population proportion is known to be p = 0.67. For samples of size 75, this is the best interpretation of the mean of the sampling distribution.

The mean of sample proportions from all random samples of size 75 from dentists in Virginia is 0.67.

500

This is the symbol that is used when talking about variance. 

What is sigma squared?

500

Given that a population has a proportion of 0.9, this is the minimum sample size for a sampling distribution to be approximately normal. 

What is 100?

500

The mean age of the employees at a large corporation is 37.5 years, and the standard deviation is 6 years. A random sample of 16 employees will be selected. These are the mean and standard deviation of the sampling distribution of the sample mean for samples of size 16

What is mean = 37.5 and SD = 6/4 (or 1.5)?

500

Given a normal distribution with mean 67 and standard deviation 6.7, this value would represent the 67th percentile?

What is 69.95?

500

Given a sampling distribution of the difference of sample means, this is the interpretation of the standard deviation of the sampling distribution being s=2.5

The mean of a randomly selected sample from this population will typically vary from the mean by about 2.5

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