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1. Correlation concerns the relationship between the values of variables. Regression analysis determines the nature of that relationship and enables us to make predictions. What does the standard error of estimate tell you about the data around the regression line (line of best fit)? Give a small example.
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a person has 8 friends but can only invite 5 to their birthday party. how many ways can she invite 5 friends if two of
Verify that the fitted values have the same mean as the actual y-values, and that the residuals have mean zero and show that the variance of the fitted values plus the variance of the residuals adds up to the variance of y. Find the R-squared.
1. define in your words nominal ordinal and interval-ratio levels of measurement. provide 3 examples for each level of
Twelve cases of leukemia are reported in people living in a particular census tract over a 5-year period. Is this number of cases abnormal if only 6.7 cases would be expected based on national cancer-incidence rates?
Calculate each of the following values for the data set below (assume it is a population).{3.42, 4.10, 4.15, 4.19, 4.26, 4.85, 5.01, 6.22}
Calculate p value? What is the critical value?
A sample of seed packets was selected, and their weights in grams were recorded as follows: 15.1, 15.6, 15.8, 15.1, 15.5, 15.9, 15.5, 15.2. Determine a 90% confidence interval for the mean weight of seeds in all packets.
Suppose 3 high school students are randomly selected from different schools. What is the probability that all graduate?
The F test is used in Analysis of Variance (ANOVA). When would a researcher use an ANOVA? Explain (one paragraph in length).
twenty-seven items are randomly selected from a population of 295 items. the sample mean is 35 and the sample standard
You are using a significance level of α = 0.05 to test a claim that p > 0.5. Your sample is a simple random sample of size n = 49. Calculate β for the test, assuming that the true population proportion is 0.7 and showing all work.
Make up a scatter diagram with 10 dots for each of the following:
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