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Find out the correlation coefficient.
Bicycle helmet use. Table lists data from a cross-sectional survey of bicycle safety. The explanatory variable is a measure of neighbourhood socioeconomic status (variable_RFM). The response variable is "percent of bicycle riders wearing a helmet" (P_Helm).
Percent of school children receiving free or reduced-fee lunches at school (variable P_RFM) and percent of bicycle riders wearing a helmet (variable P_HELM). Data for the study was recorded by field observers in October of 1994.
I (i)
School
P_RFM
P-HELM
1
Fair Oaks
50
22.1
2
Strandwood
11
35.9
3
Walnut Acres
57.9
4
Disc Bay
19
22.2
5
Belshaw
26
42.4
6
Kennedy
73
5.8
7
Cassell
81
3.6
8
Miner
51
21.4
9
Sedgewick
55.2
10
Sakamoto
33.3
Toyon
32.4
12
Lietz
25
38.4
13
Los Arboles
84
46.6
Compute r for all 13 data points. Describe the correlation strength.
The average score on the stat midterm was 75 points with a standard deviation of 5 points, and Gregor's z-score was -2. How many points did he score.
Then test to see whether it considerably varies from 0 [use alpha = 5%]. Don't forget to identify the null and alternative hypotheses.
The manufacturer of a coffee dispensing machine claims the ounces per cup is normally distributed with population mean equal to 8 ounces and standard deviation equal to 0.9 ounces. If 50 cups of coffee were measured, what is the possibility that- ..
More than 13 successes in 19 trials with a 40 percent chance of success. (Round the answer to 4 decimal places.) Fewer than 7 successes in 15 trials with a 40 percent chance of success. (Round the answer to 4 decimal places.)
Four properties are randomly selected from each neighborhood and the ratios recorded for each as follows:
Bill Russ, the production manager at Ross Co., maintains detailed records on number of times each machine breaks down and requires service all through the week. Bill records show that the Puret grinder has required repair service according to the ..
Calculate a 95% confidence interval for the population mean, based on the sample 10, 12, 13, 14, 15, 16, and 49.
Determine the z values for 29 and 34 hours. What percent of the garages take between 32 hours and 34 hours to erect?
A random sample of eight cars from each manufacturer is selected, and eight drivers are selected to drive each automobile for a specified distance.
In an analysis of variance problem involving 3 treatments and 10 observations per treatment, SSE = 399.6. The MSE for this situation is:
Suppose the random variable x is best described by a normal distribution with µ = 24 and σ = 2.7. Find the z-score that corresponds to each of the following x values.
The grade point averages for 10 randomly selected high school students are listed below. Assume the grade point averages are normally distributed.
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