Please answer questions 5.4 to 5.7. Calculate for both sex (male and female). Please show your work and label the final percentage answer for each sex. Ex. m=...% and f=...%.

This is my current work on the questions 5.4 to 5.7. If the answers that I have solved correct for males or females please state so. And answer the other sex that is missing. If my answers are incorrect. Please solve for both sex.

5.4.What percent of all countries have less than an average of 85 years of healthy life expectancy at birth for men and women? (1 point) 5.5.What percent of all countries have higher than an average of 58 years of healthy life expectancy at birth for men and women? (calculate one for each sex) (1 point) 5.6.What percent of all countries have less than an average of 50 years of healthy life expectancy at birth for men and women? (calculate one for each sex) (1 point) 5.7.What percent of all countries have average healthy life expectancy between 55 and 75 years of age for men and women? (calculate one for each sex) (1 point) S . 1 ) _P E x 2 58] . P [ x. m > 53 - 68 ] 5.98 p [ 2 2 : 1 . 6 7 2 2 1 7 5 . 5 0 P r x / 85 7 " p [ x - m 1 85 - 68 7 30 s . 98 = pr z ( 2 . 8 4 2 9 1 ] : 0 19979 -2/99, 78 % sib p [ x , 4 4 1 8 + 1 5 = 9 . 41 ~) 194180 UB mens tale Ranks at 94 % 0 1:57In this assignment, using the Healthy Life Expectancy (HALE) at birth data from a sample of 150 countries, you will learn to import excel data file into SPSS, become familiar with SPSS environment, define variable properties, calculate basic descriptive statistics, convert raw scores into z scores in SPSS, and practice using the z-distribution table and find percentile ranking. This assignment is divided into two parts. In the first part, you will learn some basic functions of SPSS and run descriptive tests and standardize raw scores. In the second part, you will calculate proportion of scores using the z-distribution table (Appendix A, page 432 of your textbook/Also posted in M2 Assignment page), and find percentile ranking. Part 1 - SPSS Practice 1. Import the excel file "WHO HALE at birth 2016 male female sample 150.xIsx' into SPSS 2. Define variable properties. 3. Calculate measures of central tendency, measures of variation, skewness, kurtosis, and confidence interval of the means for each sex. Copy and paste all relevant tables and graphs. 4. Standardize the HALE scores for each country. In other words, convert raw scores into z scores. Descriptive Statistic Std. Error Male Mean 61.671 0.5873 HALE 95% Lower 60.511 Confidence Bound Interval for Mean Upper 62.832 BoundDescriptive Descriptive 5% 61.871 95% Lower 63.891 Trimmed Confidence Bound Mean Interval for Median 62.950 Mean Upper 66.263 Variance 51.735 Bound 5% 65.383 Std. 7.1927 Trimmed Deviation Mean Median 67.100 Minimum 43.9 Variance 54.031 Maximum 78.8 Std. 7.3506 Range 34.9 Deviation Minimum 45.9 Interquartil 10.2 e Range Maximum 79.2 Skewness -0.355 0.198 Range 33.3 Kurtosis -0.514 0.394 Interquartil 10.2 Female Mean 65.077 0.6002 e Range HALE Skewness -0.605 0.198 NDescriptive Kurtosis -0.438 0.394 Histogram 30 Mean = 65.08 NO. Dev. = 7.351 20 Frequency 10 50.0 60.0 70.0 80.0 Female HALE Histogram 20 Mean = 61.67 N = 150 15 Frequency 10 5 50.0 60.0 70.0 80.0 Male HALE 4