In a table, report proportion of the students based on mobile phone brands in your sample. Apple  269 Samsung  62 LG 5 Basic mobile phone 2 Other smartphone 32 Do not use mobile phone 0   2. Use an appropriate chart (properly labelled) to display information above, and provide brief interpretation on the chart.

The figure below plots a histogram of ages for Olympic athletes. What are ways that this plot could be improved: Mark all that apply. count 20000- 15000- 10000- 5000- 0- 20 20 40 age_of_athlete Do a scatter plot instead of a histogram to more effectively portray the information Change X-axis label Add a title Capitalize Y-axis label 80 60

The Wall Street Journal’s website, www.wsj.com, reported the number of cars and light-duty trucks sold through October of 2014 and October of 2015. The top sixteen manufacturers are listed here. The sales information for all manufacturers can be accessed in a data file below.  Sales data are often reported in this way to compare current sales to last year’s sales.     Year-to-Date Sales   Manufacturer Through October 2015   Through October 2014   General Motors Corp. 2,562,840   2,434,707   Ford Motor Company 2,178,587   2,065,612   Toyota Motor Sales USA Inc. 2,071,446   1,975,368   Chrysler 1,814,268   1,687,313   American Honda Motor Co Inc. 1,320,217   1,281,777   Nissan North America Inc. 1,238,535   1,166,389   Hyundai Motor America 638,195   607,539   Kia Motors America Inc. 526,024   489,711   Subaru of America Inc. 480,331   418,497   Volkswagen of America Inc. 294,602   301,187   Mercedes-Benz 301,915   281,728   BMW of North America Inc.…

Each term (3 months) the current group of economics students completed a questionnaire as to how much they would spend on new purchases compared to how much they would save/pay off bills, if they suddenly and unexpectedly received a check for $1,000. The average MPC is shown in the table below. Month in which student poll was taken Average of students’ responses as MPC March 0.41 June 0.30 September 0.22 December 0.56   What do these MPC’s imply about the students’ thinking over the course of the year?   (Enter response here.)   What is likely happening in the economy during the same period of time?

Tract 1 123 2 3 4 Group A Group B 25 50 75 100 25 25 25 25 Calculate the dissimilarly index for this county.

The accompanying graph is an example of 70000 60000 50000 20000 10000 .. Firate's crime rate cross-sectional data. experimental data. a time series. longitudinal data. R

The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? Weight (lb) Highway (mpg) Which scatterplot below shows the data? O A. 40- 20+ 2000 5000 2855 3050 3810 3985 4250 2275 3525 33 32 27 24 22 39 28 Weight (lb) Q Q O B. 40 20+ 2000 AHH 5000 Weight (lb) Q Q Is there a linear relationship between weight and highway mileage? O A. No, there appears to be a relationship, but it is not linear. O B. Yes, as the weight increases the highway mileage decreases. O C. Yes, as the weight increases the highway mileage increases. OD. No there appears to be no relationshin C O C. Q 40- M Q 20++ 2000 5000 Weight (lb) Highway ( O D. Highway (mpg) 40- 20+ 2000 5000 Weight (lb) Q

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