Recent statistics show that the average annual base salary for a woman working as a copywriter in area advertising agencies is higher than the average annual base salary for a man. The average annual base salary for a woman is $67,000 and for a man $65,500. Assume that the wages are normally distributed, with a standard deviation of $7,000 for both men and women.

Q20) You want to determine the probability that a woman will receive a salary greater than $75,000. You need the following parameters: - = 7000, = 65500 - = 67000, = 7000 - = 65500, = 7000 - = 7000, = 67000 - = 65500, = 7000, z=1

Q21) The probability of a woman receiving a salary greater than $75,000 is : - Between 0% and 5% - Between 5% and 10 - Between 10% and 15 - Between 15% and 20% - More than 20%.

Q22) The statistical function in Excel that calculates the probability that a man will receive a salary that varies between $64,000 and $66,000 is : - NORMAL.LAW (66000; 65500; 7000; TRUE) - NORMAL.LAW (64000; 65500; 7000; TRUE) - NORMAL.LAW (64000 ; 65500 ; 7000 ; TRUE) - NORMAL.LAW (66000 ; 65500 ; 7000 ; TRUE) - NORMAL.LAW (66000 ; 64000 ; 65500 ; 7000 ; TRUE) - NORMAL.LAW (64000 ; 66000 ; 65500 ; 7000 ; TRUE) - None of the above

Q23) The "richest" 5% of women receive a salary above a value that is: - Between 74000 and 75000 - Between 75000 and 76000 - Between 76000 and 77000 - Between 77000 and 78000 - Between 78000 and 79000

Q24) If we are interested in the sum of two salaries, that of a man and that of a woman, the parameters of the normal distribution corresponding to this sum are: - = 132500, = 14000 - = 132500, = 7000 - = 132500, = 980000 - = 132500, = 9900 - = 132500, = 167.33

Q25) The probability that the sum of two salaries, one male and one female, is less than $120,000 is : - Between 10% and 15% - Between 15% and 20 - Between 20% and 25% - Between 25% and 30 - Between 30% and 35

Q26) If we consider a 10% increase in a man's salary, the impact on the expectation of the salary after the increase and its variance corresponds to : - An increase of $6550 for the expectation and $7002 for the variance - An increase of 10% for the expectation while the variance remains constant - An increase of 10% for the expectation and an increase of 10290000$2 for the variance - A 10% increase in the expectation and a $49000002 increase in the variance - None of the above

Q27) If we are interested in the sum of two salaries, that of a man for two consecutive years consecutive years (assuming independence of wages from one year to the next), the parameters of the normal distribution corresponding to this sum are: - = 131000, = 14000 - = 134000, = 7000 - = 134000, = 9900 - = 131000, = 28000 - None of the above