The cost and customer rating of 13 televisions is shown on the scatterplot. the televisions are rated on a scale of 0-10. Part A: Describe the association shown in the scatter plot.

Part B: Give an example of a data point that affects the appropriateness of using a liner regression model to fit all the data. Explain.

Part C: Give an example of a television that is cost effective and rated highly by customers.

(a) (8%) compute the probability of an even integer among the 100 integers 1! , 2! , 3! , until 100! (here n! is n factorial or n*(n-1)*(n-2) *… 1) (b) (16%) compute the probability of an even integer among the 100 integers: 1, 1+2, 1+2+3, 1+2+3+4, …., 1+2+3+… + 99, and 1+2+3+… + 100

Which shows one way to determine the factors of 4x3 + x2 – 8x – 2 by grouping?

Me max recorded the heights of 500 male humans. he found that the heights were normally distributed around a mean of 177 centimeters. which statements about max’s data must be true? a) the median of max’s data is 250 b) more than half of the data points max recorded were 177 centimeters. c) a data point chosen at random is as likely to be above the mean as it is to be below the mean. d) every height within three standard deviations of the mean is equally likely to be chosen if a data point is selected at random.