56% of what number is 84
1 answer:
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Answer: 410 possible points
To solve for the possible points in the course, use a proportion and cross multiply.
<h2>What is a proportion?</h2>
A proportion is two fractions that are equal to each other. For the fractions to be equal, they are proportionate. In our math problem, percentage is proportionate the the number of points.
The fractions represent information you have, and one variable will represent what you are solving for.
<h2 /><h3>Given</h3>Your points = 361
Points to get an 'A' = your points + 8
'A' = 90% of possible points
<h3>Find the points needed for an 'A' at 90%</h3>Points to get an 'A' = your points + 8
= 361 + 8
= 369
<h3>State variables</h3>let <em>x</em> be the amount of possible points
<h3 /><h3>Write a proportion</h3>We know the number of points for 90% is 369 points. Remember that 90% is the same as 90/100.
Keep the information with the same units inside the same fraction. Here, percentage is represented by the first fraction. Points is represented by the second fraction.
We can solve using cross multiplication. This is when we multiply each numerator by the denominator from the other fraction.
Simplify by multiplying.
Isolate the variable <em>x</em>.
Divide both sides by 90 to cancel out 90 on the left.
Divide.
Solved for <em>x</em>, representing the possible points.
∴ The possible points in the art course is 410.
Learn more about finding a missing number given percentage here: brainly.com/question/26535441
Answer:
If we compare the p value and using the significance level given we have
so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% or 1% of significance we fail to reject the null hypothesis.
Step-by-step explanation:
It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.
The significance level is not provided but we can assume it as . First we need to calculate the degrees of freedom like this:
The next step would be calculate the p value for this test. Since is a bilateral test or two tailed test, the p value would be:
If we compare the p value and using the significance level given we have
so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% or 1% of significance we fail to reject the null hypothesis.