Z-Scores
Probability
Sampling Distribution
Hypothesis Testing
100
This type of score describes how many standard deviations away from the mean a particular raw score is.
What is a z-score?
100
The column in the Unit Normal Table which would help you find the proportion of scores in the lowest 10% of the graph.
What is Column C or the Column toward the tail
100
The sampling distribution is a distribution of all the possible ______ for a certain size sample.
What is means?
100
A researcher conducts a hypothesis test to evaluate the effect of an Etiquette Class on politeness. The hypothesis test produces the following results: z (65) = 2.60, p<05. Assuming that the researcher is using a two-tailed test, this is the correct conclusion.
What is reject the null, the etiquette class does have an effect on politeness?
200
For a population with µ = 40 and σ = 8, the z score corresponding to X = 46.
What is z = 0.75?
200
This is the probability of obtaining a z-score greater than or equal to 0 p(z >/= 0).
What is .5000?
200
According to the Central Limit Theorem, the shape of the sampling distribution becomes more normal as the _____ increases.
What is the sample size (or N)?
200
This occurs when you conclude that a treatment has an effect when in reality it did not.
What is type I error (or alpha)?
300
For a population where σ = 10 and a score of X=60 corresponds to z= -0.50, this is the population mean.
What is 65?
300
A jar contains 7 red Twizzlers and 29 black Twizzlers. Sandra draws one black Twizzler from the jar and eats it. When she reaches in to grab another, the probability of her randomly selecting a black Twizzler this time:
What is 28/35?
300
The value of the standard error of the mean indicates how far away a sample mean is from the ____________.
What is the population mean?
300
You conduct a two-tailed hypothesis test, with alpha = .01. This is the proportion of scores that would fall in the rejection region on the right-hand side of the distribution.
What is 0.005?
400
Name two of the reasons that z-scores are useful.
What is to standardize distributions, identify exactly where scores are located within a distribution, and to compare raw scores measuring the same constructs
400
For a normal distribution with µ = 50 and σ = 10, this is the probability of randomly selecting a score greater than X = 56.
What is 0.2743?
400
The larger the sample size, the _______ the sampling error.
What is smaller?
400
Sometimes a Z-test will not be statistically significant simply because there is a small sample size. In this case, we might instead use a test of _________________ to examine how strong the effect really is.
What is Effect Size (or Cohen’s D)?
500
Last week, Luigi had exams in Math and in Art History. On the Math exam, the mean was µ = 30 with σ = 5, and Luigi had a score of X = 45. On the Art History exam, the mean was µ = 60 with σ = 8 and Luigi had a score of X = 68. The class which Luigi did better in.
What is Math?
500
For a normal distribution with µ = 100 and σ = 5, this is the probability of randomly selecting a score greater than X = 90 and X = 110. In symbols, p(110< X < 90?)
What is 0.9544?
500
A sample of pug puppies is obtained to determine their cuteness on a scale from 1-20 points. They come from the general population of all puppies, which has mean of 12 points and has a standard error of 2 points. How many puppies are in the sample?
What is N=36?
500
A sample of 25 lifeguards from Fort Lauderdale are asked to report how many times they have seen dolphins swimming in the ocean this summer, and their mean response = 8. Researchers first compare this sample to the population of lifeguards in the US which have a mean = 10, SD = 4. Researchers also compare this sample to the population of life guards in the Dominican Republic which have a mean of 10, SD = 1. There is a greater chance of finding a significant difference in this scenario.
What is comparing Ft. Lauderdale to the Dominican Republic?