Intro to Stats Chapter 7 Test

A (a)   is a part of a group being surveyed.

• sample
• population
• random sample
• quartile

A ​ (a)   is the entire group of objects or individuals considered for a survey.

• population
• sample
• random sample
• quartile

The manager of a book store surveys people who buy mystery novels to see if the store should expand its hours.  What is the population?

• People who visit the bookstore.
• People who buy mystery novels.
• Residents of the town
• People who like to read.

The Magic Kingdom theme park has many attractions, one of which is Space Mountain. Are the people who ride Space Mountain the population, or a sample, of the theme park? Explain.

• Population. They are all the people at the theme park.

• Sample. They are a subset of all the people at the theme park.

• Both population and sample. They are all the people at the theme park

• Neither population nor sample. They are not the people at the theme park.

At a particular college, 78% of all students are receiving some kind of financial aid. The school newspaper selects a random sample of 100 students and 72% of the respondents say they are receiving some sort of financial aid. Which of the following is true?

• 78% is a population and 72% is a sample.

• 72% is a population and 78% is a sample

• 78% is a parameter and 72% is a statistic

• 72% is a parameter and 78% is a statistic

. 

Is the following a parameter or a statistic?

In a survey of a sample of high school students, 43% said that their mother has taught them the most about managing money.

• Parameter

• Statistic

Is the following a parameter or a statistic?

Sixty-two of the 97 passengers aboard the Hindenburg airship survived its explosion.

• Parameter

• Statistic

A distribution showing the sample means of all sample of size n of a population is called

• Normal Distribution
• Binomial Distribution
• Sampling Distribution
• Uniform Distribution

A probability is statistically significant (provides convincing evidence) if it is less than

• 5%

• 10%

• 100%

• 1%

Consistently underestimates/overestimates the true parameter

• Biased Estimator

• Unbiased Estimator

• Sampling Distribution

• Population