Several years ago, the state of California launched an aggressively advertisement campaign against smoking. We've interviewed students from 16 college campuses in California and recorded for each campus the percentage of students who claimed that they had encountered assay least one anti smoking advertisement on campus in the past month.  Here are those percentages.  53 39 30 49 48 42 41 38 26 36 40 42 52 51 45 50 Construct a box and whisker plot for the data.

The data show the distance (in miles) from an airport of a sample of 22 inbound and outbound airplanes. Use technology to answer parts (a) and (b). a. Find the data set's first, second, and third quartiles. b. Draw a box-and-whisker plot that represents the data set. 5.2 4.1 2.6 5.8 4.9 5.4 4.1 2.5 5.2 5.5 2.3 2.2 2.6 1.9 3.1 4.5 5.2 5.9 4.9 4.6 2.4 3.4 a. Find the three quartiles. Q₁ = Q₂ = Q3 (Type integers or decimals. Do not round.) ||

Given the following two sets of data, draw a  stem and leaf plot.A: 12, 22, 22, 24, 34, 31, 26, 35, 27, 39, 49, 10B: 45, 36, 23, 16, 37, 28, 18, 13, 10, 23, 30, 31

I. Background The Food and Drug Administration (FDA) tries to find out whether there is a relation between the number of years people smoked and the percentage of lung damage. FDA asks you for your help to find it out. You interviewed twenty people who have smoked and obtained the following data. II. Technical report: a) Draw a scatter plot. b) Based on the scatter plot, explain whether the number of years and the percentage of lung damage are correlated. If they are correlated, discuss the strength of correlation, and the direction (positive or negative). c) Find the correlation coefficient r. Explain what r implies. d) Choose your own significance level a (1 suggests 0.1, 0.05 or 0.01). State and test the hypothesis. Explain what your findings mean. e) Do your observations in part (b) agree to the results from part (c) and (d)? Explain f) Find the regression line equation. Explain what the line implies. g) Draw the regression line on your scatter plot. h) A man has…

Name all of the following data sets that you would expect to be skewed. I. waiting times at the bankII. salaries of teachersIII. the selling price of homes IV. fuel efficiency of compact cars II and III IandII I, II, and III IV

The table below shows the heights, in inches, of 15 randomlyselected National Basketball Association (NBA)players and 15 randomly selected Division I NationalCollegiate Athletic Association (NCAA) players. Using the same scale, draw a box-and-whisker plot foreach of the two data sets, placing the second plot belowthe first. Write a valid conclusion based on the data.

The following are the exam scores for a new literature class: 34, 41, 90, 80, 18, 20, 25, 70, 25, 20, 50, 40, 36. The class follows a typical grading scare where 65% is the lowest passing gradeand 100% is the highest. Create a box plot. Be sure to identify all thenecessary terms. What can we infer from looking at the box plot?

Here is a data set: 24 18 21 32 21 29 29 35 20 39 31 18 20 18 28 22 26 22 34 34 You are examining the data with a split stem-and-leaf plot. Here is the start of the plot: 1 | 888 2 | 0011224 2 | 6899 31 3 | What should be entered in the second to last row of this table? 31 Question Help:Video Message instructor

Consider the following ordered data. 4   7   7   8   9   9   10   11   12 Find the low, Q1, median, Q3, and high Find the interquartile range

The ages (in years)and heights (in inches) of all pitchers for a baseball team are listed. Find the cofficient of a variation for each of the two data sets. Then compare the result.