If a random sample of 20 persons weighed 3,460, the sample mean x-bar would be 3460/20 = 173 pounds.
The z-score for 173 pounds is given by:
![z=\frac{173-154}{29}=0.655](https://tex.z-dn.net/?f=z%3D%5Cfrac%7B173-154%7D%7B29%7D%3D0.655)
Referring to a standard normal distribution table, and using z = 0.66, we find:
![P(\bar x\ \textless \ 173)=0.7454](https://tex.z-dn.net/?f=P%28%5Cbar%20x%5C%20%5Ctextless%20%5C%20173%29%3D0.7454)
Therefore
![P(\bar x\ \textgreater \ 173)=1-0.7454=0.2546](https://tex.z-dn.net/?f=P%28%5Cbar%20x%5C%20%5Ctextgreater%20%5C%20173%29%3D1-0.7454%3D0.2546)
The answer is: 0.2546
Answer:
0.08333333333
Step-by-step explanation:
(1/3)/4 in a calculator
To find the median of the data set, we must first order them from lowest to highest in increasing order. Let's rearrange them in that way:
{17, 23, 30, 40, 44, 44}
Then we begin by crossing one off from each side, until we get to the middle. However, we see that our middle here is both 30 and 40.
What we do in a case like this is add up the two numbers and divide by 2 (essentially find the mean of the two middlemost numbers). Let's do that now:
![30+40=70](https://tex.z-dn.net/?f=30%2B40%3D70)
![\frac{70}{2}=35](https://tex.z-dn.net/?f=%20%5Cfrac%7B70%7D%7B2%7D%3D35%20)
So now we know that
the median of the set of data is 35.
Answer:
32 people
Step-by-step explanation:
If 3/4 equals 24, we need to find the other fourth. We can divided the total number of people by the numerator. 24/8, then add 8, which equals 32.
Answer:
C option
Step-by-step explanation:
C is the correct solution of to above equation