Answer:
Your y-intercept is (0,-3)
Step-by-step explanation:
I rec. using desmos graphing calculator it makes questions like that 10x easier.
Hope this helps! :)
Find the mean, median, and mode for 0, 4, 6, 11, 9, 8, 9, 1, 5, 9, 7. Round to the nearest tenth if needed.
snow_lady [41]
Answer:
6
Step-by-step explanation:
you add them all up and divide it by how many numbers there are
Lets Brian => b and Ethan => e so
b=5
e=3+2b
will be the equation of finding free throws.
Answer:
Step-by-step explanation:
Since the number of bagels sold already is 47, the total number of bagels sold will be b+47. The revenue from each sale is $0.85, so the total revenue will be ...
A = 0.85·(b +47)
This equation can be written in different forms, but this satisfies the requirement for "an equation."
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Since b is the number of addition bagels, when 122 additional bagels are sold, the value of b is 122. Then the equation becomes ...
A = 0.85·(122 +47)
A = 0.85·169 = 143.65
Revenue will be $143.65 when 122 additional bagels are sold.
Answer:
And on this case if we see the significance level given 
we see that 
so we fail to reject the null hypothesis that the observed outcomes agree with the expected frequencies at 10% of significance.
Step-by-step explanation:
A chi-square goodness of fit test determines if a sample data obtained fit to a specified population.
represent the p value for the test
O= obserbed values
E= expected values
The system of hypothesis for this case are:
Null hypothesis: ![O_i = E_i[/tex[Alternative hypothesis: [tex]O_i \neq E_i](https://tex.z-dn.net/?f=O_i%20%3D%20E_i%5B%2Ftex%5B%3C%2Fp%3E%3Cp%3EAlternative%20hypothesis%3A%20%5Btex%5DO_i%20%5Cneq%20E_i%20)
The statistic to check the hypothesis is given by:
On this case after calculate the statistic they got: 
And in order to calculate the p value we need to find first the degrees of freedom given by:
, where k represent the number of levels (on this cas we have 10 categories)
And in order to calculate the p value we need to calculate the following probability:
And on this case if we see the significance level given we see that so we fail to reject the null hypothesis that the observed outcomes agree with the expected frequencies at 10% of significance.
