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A psychiatrist hires you to study whether her clients self-disclosed more while sitting in an easy chair or lying down on a couch. All clients had previously agreed to allow the sessions to be videotaped for research purposes. You randomly assigned 10 clients to each condition. The third session for each client was videotaped and an independent observer counted the clients' disclosures. You reported that "clients made more disclosures when sitting in easy chairs (M = 18.20) than when lying down on a couch (M = 14.31), t(18) = 2.84, p < .05, two-tailed."
Can you explain these results to me? I understand the t test for a single sample but know nothing about the t test for independent means.
Job Interviews: Based on information from MRINetwork, some job applicants are required to have several interviews before a decision is made. The number of required interviews and the corresponding probabilities are: 1 (0.09); 2 (0-31); (0.37); 4 (..
Set up dummy coded dummy variables to contrast each of the other groups to Group 2, medium Anxiety; run a regression to predict exam performance (Y) from these dummy coded dummy variables.
As we can say there is 5.5 percent chance of seeing the current policy having an effect on smog in the results we observed from natural sampling variation.
What is the probability that an individual shopper spends between $17.25 and $21.60 on impulse buys?
Part 1. What is the appropriate distribution for such data? Part 2. Is this lot anomalous?
Use a decision tree to describe the possible strategies and the consequences (or payoffs) of each. Show your decision tree.
How would you respond if someone told you that the correlation between education level and salary was 1.27?
Create a 95% confidence interval for population proportion of positive drug tests.
Discuss some of the common uses of IQ tests. Do you think that IQ test should be used for these purpose? Does the Flynn effect alter your thoughts about the uses of IQ test? Explain.
An electrical firm manufactures light bulbs that have a length of life that is approximately normally distributed. If a sample of 16 bulbs has an average life of 50 hours and the population standard deviation is known to be 10 hours.
A scatter diagram that plots the values of the residuals against the values of the dependent variable
I scheduled three calls for a particular day, and each call has a probability of 0.5 of making a sale. What are his probabilities of making (a) three sales, (b) two or more sales, (c) no sales?
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