Answer:
50% of students have a GPA higher than 3.1.
Step-by-step explanation:
We are given that the mean GPA of students in a neighboring school is 3.1 with a standard deviation of 0.3.
Assuming that the data follows normal distribution.
<u><em>Let X = GPA of students in a neighboring school</em></u>
So, X ~ Normal(
)
The z score probability distribution for normal distribution is given by;
Z =
~ N(0,1)
where,
= population mean GPA = 3.1
= standard deviation = 0.3
Now, the probability that the students have a GPA higher than 3.1 is given by = P(X > 3.1)
P(X > 3.1) = P(
>
) = P(Z > 0) = 0.50
<em>The above probability is calculated by looking at the value of x = 0 in the z table which has an area of 0.50.</em>
Therefore, 50% of students have a GPA higher than 3.1.
Answer:
Option A
Step-by-step explanation:
When the median is to the left of the center of the distribution with the right line longer than the left, we can conclude that the data is skewed to the right. Here the mean is larger than the median thus skewing the distribution to the right.
Representing this on an histogram including data will show a better description and also indica the longer right line.
Doesn’t let me in the link?
Using the context surrounding the word trough in line 9 of "Concrete Mixers," explain what a trough looks like and what it does on a concrete mixer. .
sorry I can't delete it this not answer your question