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1. A contingency table summarizes data that has been classified on two dimensions or scales.
2. The chi-square goodness of fit test can be used when we:
a) conduct a binomial experiment
b) conduct a multinomial experiment
c) perform a hypothesis test to determine if a population has a normal distribution.
d) perform a hypothesis test to determine if two population variances significantly differ from each other.
Based on surveys conducted in 1989 and 1999, a researcher compared the proportion of high school age females interested in a career in science in 1989 with the proportion in 1999. He concluded that the proportions were not significantly different ..
At the end of 24 weeks of treatment, subjects were classified as responders or non-responders to treatment based on a battery of psychological tests.
Assume that the smiling time of eight-week old babies, in seconds, follows a uniform distribution between 0 and 23 seconds, inclusive. This means that any smiling time from 0 to and including 23 seconds is equally likely.
Real estate agents always say "location, location, location" is the most important thing in buying a house. We want to know if the sales prices of homes in two neighborhoods are similar. A random sample is taken from each neighborhood. The prices ..
The Minitab output for the Tukey Least Significant Difference multiple comparisons is below. Which means are different and similar
To determine if this is evidence that students perform worse under uncomfortable conditions, The P-value of a test
Here is a scatterplot of average crawling age versus average outdoor temperature six months after birth followed by a plot of the residuals versus average outdoor temperature six months after birth.
Can we conclude that mean time for game is less than 3.50 hours? Use.05 significance level.
If a blue ball is selected you win nothing. Let X be the amount that you win. The expected value of X and let the random variable X be a random number with the uniform density curve given below
One state lottery has 1000 prizes of $1, 200 prizes of $5, 50 prizes of $25, 15 prizes of $150, 4 prizes of $500, and 1 prize of $2500. What is the lottery expected profit per ticket?
What is the probability of this actually happening?
Is there evidence of difference in median performance between two methods? (Use α = 0.05.)
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