I call the apple pies is a and hamburger is b so:
4a + 3b = 47
6a + 5b = 75
a = (47 - 3b)/4
6 ((47- 3b) /4) + 5b = 75
6(47- 3b) +20b = 300
282 - 18b + 20b = 300
2b = 18
b = 9
We have 4a + 3b = 47 and we have the value of b so:
4a + 3.9 = 47
4a = 20
a = 5
The apple pie is 5$ and the hamburger is 9$
Answer:
The slope of the line perpendicular to the given line is = 
Step-by-step explanation:
Given equation of line:
To find slope of the line perpendicular to the given line.
Solution:
For two line which are perpendicular to to each other is related as :
where 
and 
are the slopes of the line.
The slope of the line given can be determined by comparing it with the standard slope intercept equation which is 
where 
represents slope of the line.
Thus, the slope of the given line = 4 as slope is the co-efficient of 
in the equation.
Thus, the slope of the line perpendicular will be given as:
2. 1/8 + 1/8 + 1/8
3. 1/12 + 1/12 + 1/12 + 1/12 + 1/12 + 1/12
4. 1/4 + 1/4 + 1/4 + 1/4
5. it is correct
6. 1/6 + 5/6.....2/6 + 4/6.....3/6 + 3/6
7. 1/8 red, 1/8 blue, 2/8 green
8. 1/6 pink, 1/6 red, 4/6 blue
Answer:
5. 27 + 21 = 48
6. 21 - 3 = 18
7. 12 + 9 = 21
Step-by-step explanation:
I could only see these three but I hope this helps :)
Answer:
D. Chi-square test for two-way table
Step-by-step explanation:
To test if there is an association between the percentage of people that successfully stop smoking and the method they used to do so, a random sample of 584 smokers who tried to quit smoking and was orted by the method they used to help themselves to achieve their goal (nicotine-patch or e-cigarettes). After six months, the proportion of subjects that successfully stopped smoking.
In this case, the t-test is not applicable, this statistic is to test the population mean. The variable of the study is the proportion of people that successfully stopped smoking using either method.
To apply Chi-Square tests the condition to be met is that the variable is categorizable and since the data can be organized in a 2x2 table, all expected frequencies should be >5.
The objective of the Goodness-to-fit test is to test if a population follows a certain theoretical model.
In this example, the objective is to compare the proportion of people that successfully quit smoking and the proportion of people that failed by using either method.
