What is the probability a sample of 35 people will wait longer than 0.6 minutes for an elevator?

• 0.2018

• 0.9798

• 0.3632

• 0.0202

62% of MFHS students have plagiarized. Describe sampling distribution of size 30.

• Approximately normal with mean 0.62 and SD 0.0886

• Approximately normal with mean 62 and SD 8.86

• Approximately normal with mean 0.62 and SD 2.66

• The sample size is too small to determine shape.

Increasing the sample size of an opinion poll will reduce the

• bias of the estimates made from the data collected in the poll.
• variability of the estimates made from the data collected in the poll.
• variability of opinions in the sample.
• variability of opinions in the population.

A population has mean μ = 25 and standard deviation σ = 3.4. Find the mean and standard deviation of sampling distribution when n = 16.

• 25, 0.85

• 25, 3.4

• 6.25, 0.85

• 6.25, 3.4

What are the mean and standard deviation of the sampling distribution of sample means for an SRS of size 35?

• μx̅= 0.5 σx̅= 0.0488

• μ = 0.5 σ = 0.0488

• μx̅= 0.5 σx̅ = 0.289

• μ = 0.5 σ = 0.289

Find the area under the standard normal curve to the right of z = 3.15. 

• 0.0869
• 0.9962
• 0.0008
• 0.1234

The Gallup Poll asked a random sample of 1785 adults whether they attended church during the past week.  Let p-hat be the proportion of people in the sample who attended church.  A newspaper report claims that 40% of all U.S. adults went to church last week.  Suppose this claim is true. 
What is the mean of the sampling distribution of p-hat?

• 0.4
• 0.44
• 0.56
• 0.6

The average GPA of Mrs. Mann's 3rd period class is 3.5. The number 3.5 is a _____________.

• population

• parameter

• statistic

• sample

Why is a sample of 1000 people better than a sample of 100 people?

• It reduces the margin of error.

• It eliminates bias.

• Having more people creates more work.

• More people means that our results are always correct.

These symbols represent the mean and standard deviation for which of the following distributions?

• The Population
• The Sample
• The Sampling Distribution