Answer: There is no quetion this is not helpful i can't help if i don't no the problem
Step-by-step explanation:
Answer:
$12$ km
Step-by-step explanation:
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Answer:1.)49%
2.)5.3%
3)4.9%
4)46.1%
5)the events are independent of each other but not mutually exclusive.
6)4.9%
Step-by-step explanation:
From the data given
Event that a player in Npfl plays in his 30s is T
Event that a player plays in offense position is F
Drawing a set diagram
P(T) =10.2%
P(F)=48.6%
P(TnF)=4.9%
1.probability of T only or F only=10.2-4.9+48.6-4.9=49%
2.prob(Tonly)=prob(T)-Prob(PnT)
=10.2-4.9=5.3%
3.prob(TnF)=4.9%
4.Pr(TUF)'=100-{pr(Tonly)+Pr(Fonly)+P(TnF)}
100-(10.2-4.9+48.6-4.9+4.9)
100-(5.3+43.7+4.9)
=46 .1%
D.the two events are independent of each other i.e the occurrence of being in 30s and being an offensive players can happen simultaneously.
For thatsame reason ,they are NoT mutually exclusive.
E) prob (playing in 30s and being offensive) is p(TnF)=4.9%
Step-by-step explanation:
First, find the degrees of freedom:
df = n − 1
df = 49
To find the p-value manually, use a t-score table. Find the row corresponding to 49 degrees of freedom. Then find the α column that corresponds to a t-score of 1.421. You'll find it's between α = 0.10 (t = 1.299) and α = 0.05 (t = 1.677). Interpolating, we get an approximate p-value of 0.084. For a more accurate answer, you'll need to use a calculator.