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1 answer:
Answer:
m = 3/2
Step-by-step explanation:
You want to find the slope, or the change in y coordinates over change in x-coordinates.
The first given point is E(-2, -4)
The second point is F(2, 2)
Coordinates are given in (x, y), so following the equation and computing the x and y coordinates of E - F for both the numerator and denominator:
You could also have went the other way and calculated F - E for the numerator and denominator and get the same answer.
Finally, to check you can also look at the graph through the rise over run (rise/run) method and see that from E, you go up 3 (rise) and to the right 2 (run) to get to the next point on the line.
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a)
b) 0.1539
c) 0.1539
d) 0.6922
Step-by-step explanation:
a)
In this problem, the score on the exam is normally distributed with the following parameters:
(mean)
(standard deviation)
We call X the name of the variable (the score obtained in the exam).
Therefore, the event "a student obtains a score less than 67.1) means that the variable X has a value less than 67.1. Mathematically, this means that we are asking for:
And the probability for this to occur can be written as:
b)
To find the probability of X to be less than 67.1, we have to calculate the area under the standardized normal distribution (so, with mean 0 and standard deviation 1) between and
, where Z is the z-score corresponding to X = 67.1 on the s tandardized normal distribution.
The z-score corresponding to 67.1 is:
Therefore, the probability that X < 67.1 is equal to the probability that z < -1.02 on the standardized normal distribution:
And by looking at the z-score tables, we find that this probability is:
And so,
c)
Here we want to find the probability that a randomly chosen score is greater than 89.1, so
First of all, we have to calculate the z-score corresponding to this value of X, which is:
Then we notice that the z-score tables give only the area on the left of the values on the left of the mean (0), so we have to use the following symmetry property:
Because the normal distribution is symmetric.
But from part b) we know that
Therefore:
d)
Here we want to find the probability that the randomly chosen score is between 67.1 and 89.1, which can be written as
Or also as
Since the overall probability under the whole distribution must be 1.
From part b) and c) we know that:
Therefore, here we find immediately than: