Exam 5: Hypothesis Tests With Means of Samples

Anxiously-attached individuals in the general population tend to have low levels of satisfaction in their romantic relationships (μ = 10, σ = 5, positively skewed distribution). A therapist interested in increasing relationship satisfaction provides a week-long relaxation seminar to 11 anxious individuals. After completing the seminar, relationship satisfaction in the sample averages 12. -What is the comparison distribution's standard deviation?

The lines that appear above the tops of the bars in a bar graph in a research article are __________.

σ²_M represents the __________.

use the following information. One hundred people are included in a study in which they are compared to a known population that has a mean of 73,a standard deviation of 20,and a rectangular distribution. -If the sample mean is 75,the upper limit for the 99% confidence interval is __________.

Another name for the standard deviation of a distribution of means is the __________.

An experimental psychologist is interested in whether the color of an animal's surroundings affects learning rate. He tests 16 rats in a box with colorful wallpaper. The average rat (of this strain) can learn to run this type of maze in a box without any special coloring in an average of 25 trials, with a variance of 64, and a normal distribution. The mean number of trials to learn the maze, for the rats tested with the colorful wallpaper, is 11. -What is the μ_M?

An experimental psychologist is interested in whether the color of an animal's surroundings affects learning rate. He tests 16 rats in a box with colorful wallpaper. The average rat (of this strain) can learn to run this type of maze in a box without any special coloring in an average of 25 trials, with a variance of 64, and a normal distribution. The mean number of trials to learn the maze, for the rats tested with the colorful wallpaper, is 11. -What is σ_M?

In principal,a distribution of means can be formed by

A school psychologist was interested in whether the 12 students in the chess club had a higher or lower mean grade point average (GPA)than the other students at a school.The overall GPA at the school was 2.55 with a standard deviation of 0.5; the distribution of GPAs was approximately normal.The average GPA of students in the chess club was 2.76.Using the .05 significance level,did the chess club represent a population that was different from students in general at this school? a.Use the five steps of hypothesis testing. b.Sketch the distributions involved. c.Advanced topic: Figure the confidence limits for the 95% confidence interval. d.Explain the logic of what you did to a person who understands hypothesis testing for studies in which the sample consists of a single individual but is unfamiliar with hypothesis testing involving a sample of more than one individual.Be sure your explanation includes a discussion of the distribution of means-what it is,the logic of how it is figured-and its role in the overall hypothesis testing process.Advanced topic: Explain the logic and computation of the confidence intervals.

There is no reason for the mean of a distribution of means to be larger or smaller than the __________.

A 95% confidence interval will be __________ a 90% confidence interval.

The upper and lower ends of a confidence interval are the

A 95% confidence interval is figured by finding

use the following information. One hundred people are included in a study in which they are compared to a known population that has a mean of 73,a standard deviation of 20,and a rectangular distribution. -__________.

Which of the following would usually be considered "marginally significant"?

When hypothesis testing with a sample of two or more,the formula for figuring your sample's score on the comparison distribution is

Your sample of 12 people is being compared to a known population with a mean of 200 and a variance of 36.What is the variance of the distribution of means?

As the number of people in a sample gets larger,the distribution of means

The 95% confidence interval

The mean of a distribution of means is