Introduction to Statistics Part A - Outputs: 1. A sample of university employees had been assembled. An output concerning their education is presented below. Study the output and answer the following questions: a. What is the mean, median and the standard deviation? b. Firstly, what is the interquartile range, and secondly, how many education years has the most educated employee? c. what is the number of education years that 36% of the sample has that number of education years or below it? Answer the same question for 83%. d. Firstly, how many employees has 12 education years or less? Secondly, how many employees have missing values in the variable education years? Statistics Highest Year of School Completed 1510 7 12.88 12.00 12 2.984 8.904 20 0 20 19455 9.00 12.00 12.00 12.00 15.00 16.00 Valid Missing N Mean Median Mode St d. Dev iation Variance Range Minimum Maxim um Sum 10 25 36 50 75 83 Percentiles 2. Researcher which studies the field of eating disorders checked the correlation between subjects body image ranking and the degree to which they restrict food intake. Study the output and answer the following questions: Highest Year of School Completed 2 .1 .1 .1 5 .3 .3 .5 5 .3 .3 .8 6 .4 .4 1.2 12 .8 .8 2.0 25 1.6 1.7 3.6 68 4.5 4.5 8.1 56 3.7 3.7 11.9 73 4.8 4.8 16.7 85 5.6 5.6 22.3 461 30.4 30.5 52.8 130 8.6 8.6 61.5 175 11.5 11.6 73.0 73 4.8 4.8 77.9 194 12.8 12.8 90.7 43 2.8 2.8 93.6 45 3.0 3.0 96.6 22 1.5 1.5 98.0 30 2.0 2.0 100.0 1510 99.5 100.0 7 .5 1517 100.0 0 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Total Valid NAMissing Total Frequency Percent Valid Percent Cumulat iv e Percent Correlati ons 1 .383** .000 217 217 .383** 1 .000 217 217 Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Body perception Restriction of f ood intake (f asting) Body perception Restriction of f ood intake (f asting) Correlation is signif icant at the 0.01 lev el (2-t ailed).**. 1. What can be inferred from the table? a. There is a significant negative correlation between the variables. b. There is a moderately negative correlation between the variables. c. There is a moderately positive correlation between the variables. d. There is a weak positive correlation between the variables. 2. Report the correlation. 3. The following output present a regression done in order to predict the number of SMS messages a person sends to his\hers partner by the length of the relationship (in years). Study the output and answer the following questions: Regression Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 -.661(a) .436 .435 123.540 a Predictors: (Constant), Duration of relationship (years) ANOVA(b) .