Which of the following r-values indicates the strongest correlation? r-value = 0.73 r-value = 0.73 r-value = 0.99 r-value = 0.99
1 answer:
Answer:
Step-by-step explanation:
Given
The list of options
Required
Which represents the strongest correlation.
When , it is considered to be strong.
Compare this condition with the given options, we're left with:
The above r-values show strong correlation.
However
is stronger
because
Hence;
answers the question
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Answer: 9
Step-by-step explanation:
Answer
a. True
Step-by-step explanation:
Based on this survey we estimate that about of the college students smokes. And a
confidence interval is
. So we know that
our estimative for the smoking rate is in the confidence interval with
certainty. We also know the estimative for the smoking rate in the general population is
. So we can write the two possible hypothesis:
Smoking rate is equal to
.
Smoking rate is not equal to
.
We will reject the null hypothesis if the estimate doesn't fall into the confidence interval for the college students smoking rate.
Since this condition holds we reject the null hypothesis. So with certainty we say that the smoking rate for the general population is different than the smoking rate for the college students.
Answer:
Step-by-step explanation:
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The problem describes Georgie took 275 mg of the medicine for her cold in the first hour and that in each subsequent hour, the amount of medicine in her body is 91% (0.91) of the amount from the previous hour. It can be written as
amount in hour n = amount in hour n-1 * 0.91
a)
This information provides the necessary data to write the general term as
b)
In the 8th hour (n=8), the remaining medicine present is Georgie's body is