Answer:
.07 cents
Step-by-step explanation:
In order to solve this question all you need to do is divide the money spent by the amount of months. 45.50/612=0.0743464052 but since you cant spend .0043464052 of a cent we have to change the answer to .07. To check our answer is right all we need to do is multiply 0.0743464052 by 612=45.499999 so we know the answer is correct.
The graph of the solution set for the inequality can be seen below.
<h3>How to graph the solution set?</h3>
Here we have the inequality:
3x - 2y < -12
If we isolate y, we get:
3x + 12 < 2y
(3x + 12)/2 < y
(3/2)x + 6 < y
Now, we just need to graph the line y = (3/2)x + 6 with a dashed line (because the points on the line are not solutions).
And then we need to shade the region above the line.
The graph of the solution set can be seen below.
If you want to learn more about inequalities:
brainly.com/question/18881247
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Answer:
The slope of the line passing through the points (-3, 7) and (2, -6) is -13/5.
Step-by-step explanation:
Use the slope formula to find the slope of the line based on two points.
m = y₂ - y₁/x₂ - x₁
Substitute the values
m = -6 - 7/2 - (-3)
Simplify.
m = -13/5
The slope of this line is -13/5.
In statistics, a Chi-squared test may be used to determine holiday choice and gender and α (alpha) is the response variable.
<h3>What is the Chi-squared test? </h3>
A statistical technique called the chi-square test is used to compare actual outcomes with predictions.
The goal of this test is to establish if a discrepancy between actual and predicted data is the result of chance or a correlation between the variables you are researching.
Whether there is a statistically significant association between categorical variables is determined by the Chi-square test of independence.
This issue is addressed by a hypothesis test. The chi-square test of association is another name for this assessment.
Hence,in stats would a test looking at gender & holiday preference yes you can do a Chi-squared test and α(alpha) is the response variable.
To learn more about the Chi-squared test refer;
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Answer:
i believe its 21.5
Step-by-step explanation:
