Answer:
B
Step-by-step explanation:
First thing to do here is to calculate the z-score
Mathematically;
z-score = (x-mean)/SD
here, x = 130, mean = 120 and SD = 10
Substituting these values
z-score = (130-120)/10 = 10/10 = 1
So the probability we want to calculate is;
P(z ≥ 1) = 1 - P(z <1)
From standard score table, P(z <1) = 0.15866
P(z ≥ 1) = 1-0.15866 = 0.84134
Answer:
15 (rounded) 14.7 (not rounded)
Step-by-step explanation:
Answer:
3/12
Step-by-step explanation:
6/12 - 5/12 + 4/12 - 3/12 + 2/12 - 1/12
6 - 5 + 4 - 3 + 2 - 1 =
1 + 4 -3 + 2 - 1=
5 - 3 + 2 - 1=
2 + 2 - 1=
4 - 1=
3=
Oslo is colder than Copenhagen by 7 degrees. When finding the colder temperature below 0, the larger number with a minus sign in front is the colder temperature. For example -9degrees is colder than -2 degrees.
Hope this helps if possible could I pls have brainliest?
First I let's represent our data in the table and make a scatter plot ( i attached the image).

Points labeled
A are called data set.
Point labelled
B is called the outlier. The outlier is a point that does not fit well with the rest of our data set. Posible
reason for point B is that someone is super smart and they don't need to spend a lot of time studying to achieve good results.
PartBWe can see from the graph that the number of hours spent on social media and test scores are negatively correlated. See a scatter plot, I added the trend line.
In other words, the more hours you spend on social media the lower your test scores should be.