You can set these equal to each other. The numerator is how many free throws Shawn makes and the denominator is total free throws. You can cross multiply and solve for x but it’s way easier to just see that 11*2 = 22 and then multiply 7*2 to get x which is 14. Hope this helped!
Answer:
X=6
Step-by-step explanation:
Answer:
Tiffany just got an aquarium for her rare turtle. She wants to fill it with water but it came without the volume measurement on it. She measures and finds aquarium's length is 30 inches, width is 12 inches, and height is 18 inches. How much many cubic inches of water does she need?
Step-by-step explanation:
Formula for right rectangular prism is Length×Width×Height
30×12×18 = 6480
So she needs 6,480 in³ of water
Using linear function concepts, the graph of the Celsius-Fahrenheit relationship is linear with an intercept of 32 and slope of 1.8.
<h3>What is a linear function?</h3>
A linear function is modeled by:
y = mx + b
In which:
- m is the slope, which is the rate of change, that is, by how much y changes when x changes by 1.
- b is the y-intercept, which is the value of y when x = 0, and can also be interpreted as the initial value of the function.
From the table, we have that:
- When the input is of 0, the output is of 32, hence the intercept is of 32.
- When the input changes by 10, the output changes by 18, hence the slope is of 18/10 = 1.8.
Thus, the graph of the Celsius-Fahrenheit relationship is linear with an intercept of 32 and slope of 1.8.
More can be learned about linear functions at brainly.com/question/24808124
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Answer: B) type II error
Step-by-step explanation: whenever hypothesis test is performed it is not possible to be 100% certain about the conclusion or decision made, hence their must be a level of confidence for the conclusion made.
The level of significance (α) usually takes the lower percentage of the area of distribution.
When you reject the null hypothesis instead of accepting it, you commit a type I error, the probability of committing this error is the level of significance (α).
When you accept the null hypothesis when you are suppose to reject it, you commit a type II error and the probability of committing this error is confidence level (β) which is (1- α)
