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1. A researcher conducts an experiment comparing two treatment conditions and obtains data with 10 scores for each treatment condition.
a. If the researcher used an independent-measures design, how many subjects participated in the experiment? b. If the researcher used a repeated-measures design, how many subjects participated in the experiment c. If the researcher used a matched-subjects design, how many subjects participated in the experiment?
2.A sample of difference scores from a repeated measures experiment has a mean of M_D = 5 and a variance of S^2 = 64.
a. If n = 4, is this sample sufficient to reject the null hypothesis using a two-tailed test with ∝ = .05?
b. Would you reject Ho if n = 16? Again, assume a two-tailed test with ∝ = .05.
To test whether or not there is a difference between treatments A, B, and C, a sample of 12 observations has been randomly assigned to the 3 treatments.
What is the population mean? What is the best estimate of that value?
Carry out the test for the variance of girls score is not significantly less than the given data.
Suppose that population has normal distribution. Determine a 95 percent confidence interval for population standard deviation sigma.
Compute the skewness for your data set using Pearson's
Labor negotiations estimate that 30 percent of all major contract negotiations result in a strike. During the next year, 12 major contracts must be negotiated. Determine the following probabilities.
The American Sugar Producers Association wants to estimate the mean yearly sugar consumption. A sample of 16 people reveals the mean yearly consumption to be 60 pounds with a standard deviation of 20 pounds.
Recognize the given samples are independent samples or matched pairs.
Determine the probability that Mary obtains exactly one Head.
For the following scores, find the (A) mean, (B) median, (C) sum of squared deviations, (D) variance, and (E) standard deviation:
The best estimator or appreciative of the population proportion is 0.45. How large must the sample be?
The number of standard errors that the sample estimate (p 1 - p 2 ) of (p1 - p2) falls from its null hypothesis value of zero is called
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