Chapter 8 AP Stats

In a study of 150 accidents that required treatment in an emergency room, 36% involved children under 6 years of age.  Find the 90% confidence interval of the true proportion of accidents that involve children under the age of 6.

• 0.331 - 0.413

• 0.275 - 0.433

• 0.295 - 0.425

• 0.255 - 0.455

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

The Gallup Poll interviews 1600 people. Of these, 18% say that they jog regularly. The news report adds: “The poll had a margin of error of plus or minus three percentage points at a 95% confidence level.” You can safely conclude that

• 95% of the population jog between 15% and 21% of the time.

• if Gallup took many samples, 95% of them would find that 18% of the people in the sample jog.

• 95% of all Gallup Poll samples like this one give answers within ±3% of the true population value.

• we can be 95% confident that the sample proportion is captured by the confidence interval.

• the percent of the population who jog is certain to be between 15% and 21%.

Answer explanation

95% of confidence intervals will capture the true proportion, not any particular sample proportion.

A confidence interval for a difference in proportions is −0.077 to 0.013. What are the point estimate rounded to 3 decimal places.

Answer explanation

The point estimate is the midpoint of the interval.

A confidence interval for a difference in proportions is −0.077 to 0.013. What is the margin of error rounded to 3 decimal places.

Answer explanation

The margin of error is the distance from the point estimate to the endpoints of the interval.

In a random sample of 100 students from a large high school, 37 regularly bring a reusable water bottle from home. Which of the following gives the correct value and interpretation of the standard error of the sample proportion?

• In samples of size 100 from this school, the sample proportion of students who bring a reusable water bottle from home will be at most 0.048 from the true proportion.

• In samples of size 100 from this school, the sample proportion of students who bring a reusable water bottle from home typically varies by about 0.095 from the true proportion.

• In samples of size 100 from this school, the sample proportion of students who bring a reusable water bottle from home typically varies by about 0.048 from the true proportion.

• There is not enough information to calculate the standard error.

• In samples of size 100 from this school, the sample proportion of students who bring a reusable water bottle from home will be at most 0.095 from the true proportion.

Answer explanation

Because 𝑛 = 100 < 10% of all students at this large high school the standard error of 𝑝̂ is approximately √(0.37(1−0.37)/100) = 0.048.

Many television viewers express doubts about the validity of certain commercials. In an attempt to answer their critics, Timex Group USA wishes to estimate the true proportion p of all consumers who believe what is shown in Timex television commercials. What is the smallest number of consumers that Timex can survey to guarantee a margin of error of 0.05 or less at a 99% confidence level?

• 550

• 600

• 650

• 700

• 750

What is the critical value for calculating a 94% confidence interval for a population proportion? Enter the critical value to 2 decimal places.

Answer explanation

In a 94% confidence interval, the tail area is (1 – 0.94)/2 = 0.03. Use invNorm or a standard normal table to determine the critical value for this tail area.

A marketing assistant for a technology firm plans to randomly select 1000 customers to estimate the proportion who are satisfied with the firm’s performance. Based on the results of the survey, the assistant will construct a 95% confidence interval for the proportion of all customers who are satisfied. The marketing manager, however, says that the firm can afford to survey only 250 customers. How will this decrease in sample size affect the margin of error and confidence interval? MARK ALL THAT APPLY.

• The Margin of Error will be twice as large

• The Margin of Error will be four times as large

• The Margin of Error will be half as large

• The confidence interval will be wider

• The confidence interval will be narrower

Answer explanation

Because the sample size of 250 is 1/4 of the sample size of 1000, the margin of error will be about 2 times as large.

At a baseball game, 42 of 65 randomly selected people own an iPod. At a rock concert occurring at the same time across town, 34 of 52 randomly selected people own an iPod. A researcher wants to test the claim that the proportion of iPod owners at the two venues is different. A 90% confidence interval for the difference (Game – Concert) in population proportions is (−0.154, 0.138). Which of the following gives the correct outcome of the researcher’s test of the claim?

• Because the center of the interval is −0.008, the researcher can conclude that a higher proportion of people at the rock concert own iPods than at the baseball game.

• Because the interval includes more negative than positive values, the researcher can conclude that a higher proportion of people at the rock concert own iPods than at the baseball game.

• Because the interval includes 0, the researcher can conclude that the proportion of iPod owners at the two venues is the same.

• Because the interval includes −0.008, the researcher cannot conclude that the proportion of iPod owners at the two venues is different.

• Because the interval includes 0, the researcher cannot conclude that the proportion of iPod owners at the two venues is different.

Answer explanation

The fact that 0 is included in a confidence interval for 𝑝̂ 1−𝑝̂ 2 means that we don’t have convincing evidence of a difference between the true proportions.