Answer:
the buttons are alredy on the calculator.
Step-by-step explanation:
Answer:
Step-by-step explanation:
Acute angle
Answer:
Null hypothesis:
Alternative hypothesis:
The statistic to check the hypothesis is given by:
And is distributed with n-2 degrees of freedom
And the statistic to check the significance of a coeffcient in a regression is given by:

For this case is importantto remember that t1 and p value for test of slope coefficient is the same test statistic and p value for the correlation test so then the answer would be:
Always
Step-by-step explanation:
In order to test the hypothesis if the correlation coefficient it's significant we have the following hypothesis:
Null hypothesis:
Alternative hypothesis:
The statistic to check the hypothesis is given by:
And is distributed with n-2 degrees of freedom
And the statistic to check the significance of a coeffcient in a regression is given by:

For this case is importantto remember that t1 and p value for test of slope coefficient is the same test statistic and p value for the correlation test so then the answer would be:
Always
Answer:
see below
Step-by-step explanation:
There are 7 divisors of 64. Each represents a possible number of bags of cookies:
- 1 bag of 64 cookies
- 2 bags of 32 cookies
- 4 bags of 16 cookies
- 8 bags of 8 cookies
- 16 bags of 4 cookies
- 32 bags of 2 cookies
- 64 bags of 1 cookie
Answer:
10
Step-by-step explanation:
Coefficient of variation is a measure of dispersion, showing the variability of data in relation to the mean.
The Coefficient of variation compares the degree of variation between data points. The coefficient of variation is the ratio of mean to standard deviation. It is given by the formula:
Coefficient of variation = mean / standard deviation
Coefficient of variation = 50 / 5
Coefficient of variation = 10