Answer:
Step-by-step explanation:
According to the central limit theorem, if independent random samples of size n are repeatedly taken from any population and n is large, the distribution of the sample means will approach a normal distribution. The size of n should be greater than or equal to 30. Given n = 100 for both scenarios, we would apply the formula,
z = (x - µ)/(σ/√n)
a) x is a random variable representing the salaries of accounting graduates. We want to determine P( x > 52000)
From the information given
µ = 50402
σ = 6000
z = (52000 - 50402)/(6000/√100) = 2.66
Looking at the normal distribution table, the probability corresponding to the z score is 0.9961
b) x is a random variable representing the salaries of finance graduates. We want to determine P(x > 52000)
From the information given
µ = 49703
σ = 10000
z = (52000 - 49703)/(10000/√100) = 2.3
Looking at the normal distribution table, the probability corresponding to the z score is 0.9893
c) The probabilities of either jobs paying that amount is high and very close.
Answer:
The figures are congruent because a 270° rotation about the origin and then a reflection over the x-axis will map ΔABC onto ΔLMN.
answer is (-7,-9)
step by step:-
S is the midpoint of RT so ,
s=
, 
, 
, 
R= (-7,-9)
The answer would be
You got it right
I wish i saw this when i needed jt too
Explanation
Absolutely
The two-way table is attached.
There are 58 people. 31 do not play baseball; this means that 58-31=27 do play baseball.
16 people play football; this means 58-16=42 people do not play football.
20 people do not play football or baseball; 42-20 = 22 people play baseball but do not play football.
27-22=5 people play baseball and football.
16-5=11 people play football but do not play baseball.