IL GIVE BRAINLIST!! PLEASE HELP! THERES 2 ANSWERS JUST SAYING!!
1 answer:
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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.
PartB
We 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.
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.
PartB
We 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.
Answer:
So the value of height that separates the bottom 85% of data from the top 15% is 38.32.
C) 38.32
Step-by-step explanation:
1) Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
2) Solution to the problem
Let X the random variable that represent the waiting time in minutes of a population, and for this case we know the distribution for X is given by:
Where and
And the best way to solve this problem is using the normal standard distribution and the z score given by:
We want to find a value a, such that we satisfy this condition:
(a)
(b)
Both conditions are equivalent on this case. We can use the z score again in order to find the value a.
As we can see on the figure attached the z value that satisfy the condition with 0.85 of the area on the left and 0.15 of the area on the right it's z=1.04. On this case P(Z<1.04)=0.85 and P(z>1.04)=0.15
If we use condition (b) from previous we have this:
But we know which value of z satisfy the previous equation so then we can do this:
And if we solve for a we got
So the value of height that separates the bottom 85% of data from the top 15% is 38.32.
C) 38.32