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
Do the operation:
3, 16, 24 | 2
3, 8, 12 | 2
3, 4, 6 | 2
3, 2, 3 | 2
3, 1, 3 | 3
1, 1
Answer:
Hope it helped,
Happy homework/ study/ exam!
Answer:
5
Step-by-step explanation:
The fractions already have a common denominator of 5
Answer:
Each notebook costs $2
Step-by-step explanation:
We have to find the amount she spent on each notebook.
22-10=12
We know she spent $12 on six notebooks
We need to divide to find the answer
12/6=2
Each notebook costs $12
Answer:
Step-by-step explanation:
We can use normal aproximation, assuming that the random variables are a lot of that means the sample size is large.
Using the normal distribution table,
P(z>5) = 0.00005
Hence, we can conclude that the probability that the stock’s price will exceed 105 after 10 days is very small.
Hope this helps!
