Figure 1 shows the relative location map of 100 selected V and U data. V values are above the '+' symbol and U are below. Calculate/plot the following statistical descriptors for V and U; compare and comment on the two distributions: 1) Frequency tables and histograms (use class width of 10 for V and 5 for U, e.g. 0≤V<10 and 0

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48 0 22 19 ¥22025 18 its itx
HER
+ + + + + + + +
+2 +4 +7 +10 +7 +7 +14+154,"po
¥0 ¥7 g+10 4192518 g+17 155 ¥ 20
expr 1 25 px 18 21 17 +6 px 48
1278 247 1prop3 g+6 +15 129 2
孕12 +7 +9 +8 18 ¥16 15 15 17 1818
15 堅16堅16 21 +21 +15 +4 +4 + 16 + 22
Transcribed Image Text:48 0 22 19 ¥22025 18 its itx HER + + + + + + + + +2 +4 +7 +10 +7 +7 +14+154,"po ¥0 ¥7 g+10 4192518 g+17 155 ¥ 20 expr 1 25 px 18 21 17 +6 px 48 1278 247 1prop3 g+6 +15 129 2 孕12 +7 +9 +8 18 ¥16 15 15 17 1818 15 堅16堅16 21 +21 +15 +4 +4 + 16 + 22
Figure 1 shows the relative location map of 100 selected V and U data. V values are
above the '+' symbol and U are below. Calculate/plot the following statistical descriptors
for V and U; compare and comment on the two distributions:
1) Frequency tables and histograms (use class width of 10 for V and 5 for U,
e.g. 0≤V<10 and 0≤U<5);
2) Cumulative frequency tables and cumulative frequency curves;
3) Mean, median, mode and variance;
4) Coefficient of skewness and coefficient of variation;
5) Correlation coefficient and covariance;
6) Scatterplot of U versus V;
7) Calculate the equation for the linear regression line to predict V from a known U.
Transcribed Image Text:Figure 1 shows the relative location map of 100 selected V and U data. V values are above the '+' symbol and U are below. Calculate/plot the following statistical descriptors for V and U; compare and comment on the two distributions: 1) Frequency tables and histograms (use class width of 10 for V and 5 for U, e.g. 0≤V<10 and 0≤U<5); 2) Cumulative frequency tables and cumulative frequency curves; 3) Mean, median, mode and variance; 4) Coefficient of skewness and coefficient of variation; 5) Correlation coefficient and covariance; 6) Scatterplot of U versus V; 7) Calculate the equation for the linear regression line to predict V from a known U.
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