Solve the problem.Consider the following data set:46 49 50 5…

Solve the problem.Consider the following data set:46 49 50 52 52 53 56 58 63 71Note: = 55 and s = 7.4Also consider the graph of the data set:Chebychev’s rule says that at least 0.75% of the observations lie within 2 standard deviations to either side of the mean. Based on the above dotplot, what percentage of the observations actually lie within 2 standard deviations to either side of the mean?

Solve the problem.A study was conducted to compare the avera…

Solve the problem.A study was conducted to compare the average time spent in the lab each week versus course grade for computer students. The results are recorded in the table below. Number of hours spent in lab Grade (percent) 10 96 11 51 16 62 9 58 7 89 15 81 16 46 10 51 Find the coefficient of determination.

Determine the regression equation for the data. Round the fi…

Determine the regression equation for the data. Round the final values to three significant digits, if necessary.Ten students in a graduate program were randomly selected. The following data represent their grade point averages (GPAs) at the beginning of the year (x) versus their GPAs at the end of the year (y). Show all work below. 3.5 3.6 3.8 3.7 3.6 3.9 3.6 3.6 3.5 3.9 3.9 3.8 4.0 3.7 3.9 3.9 3.5 3.8 3.7 4.0  

Provide an appropriate response.A contingency table provides…

Provide an appropriate response.A contingency table provides a joint frequency distribution for the popular votes cast in a presidential election by sex and political party. A joint probability distribution corresponding to the contingency table is obtained and can be represented as follows.The are used to represent the probabilities in the different cells so, for example, the represents and the represents True or false, is equal this can be interpreted as follows: 24% of the women who voted in this election voted Republican?

Provide an appropriate response.Which score has a higher rel…

Provide an appropriate response.Which score has a higher relative position, a score of 67.2 on a test with a mean of 60 and , or a score of 249.6 on a test with a mean of and a a standard deviation of 24? (Assume that the distributions being compared have approximately the same shape.)