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Show an outer using scatter plot.
Bicycle helmet use. Table14.5 lists data from a cross-sectional survey of bicycle safety. The explanatory variable is a measure of neighborhood 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 this 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
A good case can be made that observation 13 (Los Arboles) is an outlier. Discuss what this means in plain terms.
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Caselet on McDonald’s vs. Burger King - Waiting time
Generate descriptive statistics. Create a stem-and-leaf plot of the data and box plot of the data.
Problems on Sampling Variability and Standard Error and Confidence Intervals
Estimate the population mean
Conduct a marketing experiment in which students are to taste one of two different brands of soft drink
Find out the probability
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