Answer:
the probability that a sample of 4 bags will have a mean weight less than 9.8 pounds is 0.05
Step-by-step explanation:
Given the data in the question;
μ_x = 10 pound bags
standard deviation s_x = 0.24 pounds
sample size n = 4
The bag weights are normally distributed so;
p( x' less than 9.8 ) will be;
p( (x'-μ_x' / s_x') < (9.8-μ_x' / s_x') )
we know that;
μ_x' = μ_x = 10
and s_x' = s_x/√n = 0.24/√4
so; we substitute
p( z < ( (9.8 - 10) / (0.24/√4) )
p( z < -0.2 / 0.12 )
p( z < -1.67 )
{ From z-table }
⇒ p( z < -1.67 ) = 0.0475 ≈ 0.05
Therefore, the probability that a sample of 4 bags will have a mean weight less than 9.8 pounds is 0.05
Answer:
n/a
Step-by-step explanation:
it just needs more work on the vertex.
Answer:
18% decrease.
Step-by-step explanation:
What you do is you do 120-98 to get 22. You then put that over 120 to get .18333 this equal to 18% decrease or if you need it specifically 18.3%
Answer:$21.207 or $21.21
Step-by-step explanation:
You would take $24.95 *85% (that is how much you are going to pay) and the result is your answer
