Answer:
67 r 31
Step-by-step explanation:
Here you go.
All together: <span>3x + 0.05 + x + x + 0.10 = 7.50
5x + 0.15 = 7.50
5x = 7.35
x = 1.47
</span>1.47 +0.10=1.57<span>
so, the drink costs 1.57 </span>
Answer:
132 games played.
Step-by-step explanation:
Let x be the
We have been given that in a baseball league consisting of 12 teams, each team plays each of the other teams twice.
Since there are 12 teams, so each team will play with
teams except itself.
The total number of games played would be 12 times
:
![\text{The total number of games played}=12(12-1)](https://tex.z-dn.net/?f=%5Ctext%7BThe%20total%20number%20of%20games%20played%7D%3D12%2812-1%29)
![\text{The total number of games played}=12(11)](https://tex.z-dn.net/?f=%5Ctext%7BThe%20total%20number%20of%20games%20played%7D%3D12%2811%29)
![\text{The total number of games played}=132](https://tex.z-dn.net/?f=%5Ctext%7BThe%20total%20number%20of%20games%20played%7D%3D132)
Therefore, there will be 132 games played.
Answer:
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 degreed of freedom. df=n-2=10-2=8
For this case the null hypothesis represent that we don't have association betwen the dependent variable Y and the independent variable X and that means r=0. So then the best option for this case is:
The null hypothesis for the Pearson correlation coefficient states that the correlation coefficient is zero
Step-by-step explanation:
Previous concepts
The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.
And in order to calculate the correlation coefficient we can use this formula:
Solution to the problem
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 degreed of freedom. df=n-2=10-2=8
For this case the null hypothesis represent that we don't have association betwen the dependent variable Y and the independent variable X and that means r=0. So then the best option for this case is:
The null hypothesis for the Pearson correlation coefficient states that the correlation coefficient is zero
Answer:
(1/2)n + 9 > 33
Step-by-step explanation:
I hope this helps u