Ty and Gajge are both football players who averaged 4 yards per run in yesterday's
football game. The statistics from that game are shown in the table below.
Player Name
# of
Carries
15
10
Average Yards Gained Per
Run
|
4.0
|
Longest Run
(yards)
6
Shortest Run
(yards)
2
2
|
Ty
Gajge
OO
|
AN
Which statement best describes the data?
aby
c
CD
ause
MO
The lengths of Ty's runs have greater vari
rushing attempts.
The lengths of Gajge's runs have greater variability because there is a greater difference between his longest and shortest
runs
Ty's and Gajge's runs have the same variability because they both average 4 0 yards per carry
Ty's and Gajge's runs have the same variability because they both had the same length shortest run.

c

Step-by-step explanation:

12

step-by-step explanation:

a triangle's   full angle is 180 degrees so 180 - 156 = 24. 24/2=12

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