Step 6: Analyzing trends between degrees earned and salaries. The table below shows the median annual salaries in the United States by gender. Use skills from this lesson to correlate trends in the US from 2000 to 2010 in the number of people who received a bachelor degree to annual salaries by gender.
Men Women Total Percentage women to men
01 $34,944 $26,572
02 $35,308 $27,508 $31,616 77.9%
03 $36,140 $28,704 $32,240 79.4%
04 $37,076 $29,796 $33,176 80.4%
05 $37,544 $30,420 $33,852 81%
06 $38,636 $31,200 $34,892 80.8%
07 $39,832 $31,928 $36,140 80.2%
08 $41,496 $33,176 $37,544 79.9%
09 $42,588 $34,164 $38,428 80.2%
10 $42,848 $34,788 $38,844 81.2%

a. Assuming a linear relationship between year and salaries by gender, determine when the median annual salary for women will exceed men. Justify your answer. Include in the discussion the regression analysis you performed.

b. Based on the answer you found in the above step, provide an argument pro or con to the statement “As the number of women exceed men in the number of bachelor degrees received, expect there to be a corresponding change in the median annual salaries for each gender.”

if you are saying purchasing 3 social media ads and one newspaper ad counts as one purchase then there are:

6 purchases

if you are asking how many of each then:

18 social media ads

6 newspaper ads

i think it will be zero as slope has a formula of difference between initial and final distance divided by itz time interval

step-by-step explanation:

i found the life tables for the year 2012. 

life table of males at age 30. probability of dying between ages x and x+1

total population:  

29–30 . . . . . . . . . . . . 0.001030

30–31 . . . . . . . . . . . . 0.001061

males:  

29–30 . . . . . . . . . . . . 0.001420

30–31 . . . . . . . . . . . . 0.001448

white population

29–30 . . . . . . . . . . . . 0.001005

30–31 . . . . . . . . . . . . 0.001037

white males

29–30 . . . . . . . . . . . . 0.001372

30–31 . . . . . . . . . . . . 0.001399

non hispanic white population

29–30 . . . . . . . . . . . . 0.001083

30–31 . . . . . . . . . . . . 0.001116

non hispanic white males

29–30 . . . . . . . . . . . . 0.001477

30–31 . . . . . . . . . . . . 0.001503

jacob, non hispanic white male. 30 years old.

probability that jacob lives to be 30 years old. 

since the given probabilities are probabilities of dying, i think we simply subtract it from 1 to get the probability of living. we will use the probability of non hispanic white male.

                                          probability of living to be 30 y.o.

29 - 30 : 1 - 0.001477 = 0.998523

30 - 31 : 1 - 0.001503 = 0.998497