The creator of a new online multiplayer survival game has been tracking the monthly downloads of the game. The following table shows the monthly downloads (in thousands) for each month of the current and previous year. Click on the datafile logo to reference the data.   The datafile logo.   Month Downloads Month Downloads (previous year) (thousands) (current year) (thousands) February 33.0 January 31.0 March 34.0 February 32.0 April 34.0 March 33.0 May 31.0 April 34.0 June 32.0 May 33.0 July 33.0 June 32.0 August 35.0 July 35.0 September 36.0 August 33.0 October 37.0 September 33.0 November 34.0 October 31.0 December 35.0     a. Compute the mean, median, and mode for number of downloads in the previous year. Mean (to 3  decimals)   thousand Median (to 2 decimal)   thousand Mode (to 2 decimal)   thousand b. Compute the mean, median, and mode for number of downloads in the current year. Mean (to  3 decimals)   thousand Median (to 2 decimal)   thousand Mode (to  2 decimal)   thousand c. Compute the first and third quartiles for downloads in the previous year. Round your answers to 2  decimal places, if necessary. First Quartile   thousand Third Quartile   thousand d. Compute the first and third quartiles for downloads in the current year. Round your answers to 2 decimal places, if necessary. First Quartile   thousand Third Quartile   thousand

A company has the following monthly sales for the past year.  Plot the data points on a line graph and describe the results. Month Sales 1 145 2 146 3 145 4 150 5 148 6 150 7 156 8 160 9 158 10 153 11 152 12 154

Kahuna's Credit Union conducted a survey as to how long customers claimed to wait in the checkout line until their turn. Let X = time in line. The table below displays the ordered real data (in minutes): 0.50 4.25 5 6 7.25 1.75 4.25 5.25 6 17.25 2 4.25 5.25 6.25 7.25 2.25 4.25 5.5 6.25 7.75 2.25 45 55 65 8 2.5 4.75 55 65 825 2.75 4.75 5.75 6.5 19.5 3.25 4.75 5.75 6.75 95 3.755 16 6.75 9.75 3.75 5 6 6.75 10.75 Calculate the sample mean and the sample standard deviation to the nearest hundreths.

Use excel in this question: The Motion Picture Distributors Association of Australia collects yearly data on gross box office takings of the films in Australia. Data is provided here for the years 1990-2004. (Unfortunately more recent data is not readily available.) Is the highest box office takings for a film related to the number of films screened in Australia that year? Year No. of films screened Highest box office ($ million) 1990 252 26.1 1991 240 19.22 1992 229 18.73 1993 259 31.74 1994 252 24.65 1995 253 17.93 1996 281 29.29 1997 285 22.7 1998 273 47.33 1999 255 38.72 2000 250 30.72 2001 245 32.05 2002 258 33.81 2003 268 37.14 2004 318 50.35   1. Produce a scatterplot of the relevant data. Comment on the appropriateness of analysing this data using a linear regression model.  2. Use the statistics from a regression analysis of this data to evaluate the evidence for a useful predictive linear relationship between the two variables at the 5%…