The confidence interval for the population mean at a

confidence level is

. Here

is the sample mean,

is the critical value such that

, and

, where in turn

is the assumed population standard deviation and

is the sample size.
First find the critical value. By the empirical rule, you might already know that about 95% of a normal distribution lies within two standard deviations of the mean, and that about 99.7% lies within three standard deviations, so you can expect

to lie somewhere between 2 and 3. To be more precise, you can consult a z-score table to find that

.
Plug in everything you know and you find that the 98% confidence interval is
Using correlation coefficients, it is found that the -0.63 correlation between number of absences and final exam score means that there is a strong negative correlation between number of absences and final exam score.
<h3>What is a correlation coefficient?</h3>
It is an index that measures correlation between two variables, assuming values between -1 and 1.
If it is positive, the relation is positive, that is, they are direct proportional. If it is negative, they are inverse proportional.
If the absolute value of the correlation coefficient is greater than 0.6, the relationship is strong.
In this problem, the correlation is of -0.63, hence:
It means that that there is a strong negative correlation between number of absences and final exam score.
To learn more about correlation coefficients, you can take a look at brainly.com/question/25815006
Answer:
The expression is (x,y) -----> (x-3,y-2)
Step-by-step explanation:
we have that
A(1,5) ----> A'(-2,3)
so
The rule of the translation is equal to
(x,y) -----> (x',y')
(x,y) -----> (x-3,y-2)
That means-----> the translation is 3 units at left and 2 units down
Answer:
600 times 60 equals 36000
1,000 times 60 equals 60000
6000 times 30 equals 18000
Step-by-step explanation:
Answer:
x=8
Step-by-step explanation: