6. From the following data : 52 55 56 57 58 63 64 67 69 72 76 77 Income in thousand rupees Expenditure in thousand rupees 6 8 10 9 7 68 12 9 11 12 10 (i) Calculate the Karl Pearson's coefficient of correlation between Income and Expenditure. (ii) Find the % of variation in Expenditure that is explained by variation in the Income. n
Answers
Answer:
Step-by-step explanation:
Box plots (also called box-and-whisker plots or box-whisker plots) give a good graphical image of the concentration of the data. They also show how far the extreme values are from most of the data. A box plot is constructed from five values: the minimum value, the first quartile, the median, the third quartile, and the maximum value. We use these values to compare how close other data values are to them.
To construct a box plot, use a horizontal or vertical number line and a rectangular box. The smallest and largest data values label the endpoints of the axis. The first quartile marks one end of the box and the third quartile marks the other end of the box. Approximately the middle
50
percent of the data fall inside the box. The “whiskers” extend from the ends of the box to the smallest and largest data values. The median or second quartile can be between the first and third quartiles, or it can be one, or the other, or both. The box plot gives a good, quick picture of the data.