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A researcher was interested in determining whether incentives affect the response rate in surveys. A simple random sample of 50 adult residents of a large city was selected. All were mailed a survey and promised a check upon returning a completed survey. Ten were promised a check for $1.00, 10 were promised a check for $5.00, 10 were promised a check for $10.00, 10 were promised a check for $25.00, and 10 were promised a check for $50.00. The amount ($1.00, $5.00, $10.00, $25.00, or $50.00) promised to each person was determined by randomization. For each person who was sent one of the surveys, the researcher recorded whether or not a completed survey was returned.We wish to fit a logistic regression model
where p is the binomial probability of returning a completed survey, and log is the natural logarithm. The model was fit using statistical software and the results are given below.
The value of the X2 test statistic for testing the hypothesis H0: β1 = 0 is
A. 0.0516.B. 2.6061.C. 6.7916.
The mean is 15.8 tons. the sample standard deviation is 5.0 tons. what is the 95 percent interval for the population mean?
For the following ANOVA experiments, determine the critical region(s) and critical value(s) that are used in the classical approach for testing the null hypothesis
Compute a value V that enables us to state, with 90 percent confidence, that population variance (sigma^2) is less than V.
There are 4 entrances to a building in Philadelphia. The bldg maintenance super would like to know if the entrances are equally utilized. To investigate, 400 people were observed entering the building.
In past, mean processing time was 45 days. At 0.05 level of significance, is there evidence that mean processing time has changed from 45 days?
You can just switch on the heater of your swimming pool / sauna / living room etc. But if you want to be calculate what time you should switch it on
The percentage rates of home ownership for 8 randomly selected states are listed below. Estimate the population variance and standard deviation for the percentage rate of home ownership with 99% confidence level.
A researcher claims that the average age of people who buy theatre tickets is 51. A sample of 30 is selected and their ages are recorded as shown below.
The following data on annual rates of return were collected from five stocks listed on the New York Stock Exchange ("the big board") and five stocks listed on NASDAQ.
If there is a +.20 correlation between SAT scores and high school GPA, SAT scores account for what % of the fluctuation in GPA?
The data are stored in file Xm13-03. Can we infer that finance majors obtain higher salary offers than do marketing majors among MBAs?. What"s happening here?
At the .01 significance level, is there a relationship between job pressure and age?
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