we’ve decided to create a survey on the population of pet owners in the Bay Area ranging from younger to older generation individuals. Number of pets owned Frequency Relative Frequency Cumulative Frequency 0 20 20/48=0.4167 20 1 14 14/48=0.29167 34 2 11 11/48=0.2292 45 3 3 3/48=0.0625 48 4 0 0/48=0 5 0 0/48=0 5 or more 0 0/48=0 Summarize your data in a chart with columns showing data value, frequency, relative frequency and cumulative relative frequency. ____Answer the following (rounded to 2 decimal places): 1. ?̅= 2. s = 3. First quartile = 4. Median = 5. 70th percentile = What value is 2 standard deviations above the mean? What value is 1.5 standard deviations below the mean? Construct a histogram displaying your data. In complete sentences, describe the shape of your graph. Do you notice any potential outliers? If so, what values are they? Show your work in how you used the potential outlier formula in Chapter 2 (since you have univariate data) to determine whether or not the values might be outliers. Construct a box plot displaying your data. Does the middle 50% of the data appear to be concentrated together or spread apart? Explain how you determined this. Looking at both the histogram and the box plot, discuss the distribution of your data.
we’ve decided to create a survey on the population of pet owners in the Bay Area
Number of pets owned |
Frequency |
Relative Frequency |
Cumulative Frequency |
0 |
20 |
20/48=0.4167 |
20 |
1 |
14 |
14/48=0.29167 |
34 |
2 |
11 |
11/48=0.2292 |
45 |
3 |
3 |
3/48=0.0625 |
48 |
4 |
0 |
0/48=0 |
|
5 |
0 |
0/48=0 |
|
5 or more |
0 |
0/48=0 |
Summarize your data in a chart with columns showing data value, frequency, relative frequency and cumulative relative frequency. ____Answer the following (rounded to 2 decimal places): 1. ?̅=
2. s =
3. First
4.
5. 70th percentile =
What value is 2 standard deviations above the
What value is 1.5 standard deviations below the mean?
Construct a histogram displaying your data.
In complete sentences, describe the shape of your graph.
Do you notice any potential outliers? If so, what values are they? Show your work in how you used the potential outlier formula in Chapter 2 (since you have univariate data) to determine whether or not the values might be outliers.
Construct a box plot displaying your data.
Does the middle 50% of the data appear to be concentrated together or spread apart? Explain how you determined this.
Looking at both the histogram and the box plot, discuss the distribution of your data.
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