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3 years ago

How do you do this please explain!

Mathematics

1 answer:

Lelechka [254]3 years ago

3 0

Since 4 pastries is $10. Divide 10 by 4 to find out how much it cost per pastry.
10/4 = $2.5 per pastry

$2.5 * 9 pastries = cost
For 9 pastries, it cost $22.50

Plug it into the table :)

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Plot C(-1,–7), D (6,–7), E(5,3), and F(5,-5) in a coordinate plane. Are CD and EF congruent?

N76 [4]

Answer:

No, they are not congruent

Step-by-step explanation:

By CD and EF being congruent, we want to know if they are equal.

What we can simply do here is to find the distance between the points present.

That is, the distance between C and D, the distance between E and F

To get the distances between two points , we use the following equation

D = √(x2-x1)^2 + (y2-y1)^2

For CD, we have

D = √(6 -(-1)^2 + (-7 + 7)^2

D = √(7)^2 = 7 units

For EF, we have

D = √(5-5)^2 + (-5-3)^2

D = √(-8)^2

D = √(64) = 8 units

This clearly shows that they are both not congruent

7 0

3 years ago

the cost of diesel fuel varies directly with the number of gallons purchased. if 21 gallons of diesel fuel costs $73.50, how man

atroni [7]

73.50÷21=3.5 per gallon

98÷3.5=28 gallons ...answer

8 0

4 years ago

Read 2 more answers

Find the quotient 50/-10

Lemur [1.5K]

Answer:

-5

Step-by-step explanation:

3 0

3 years ago

Read 2 more answers

A set of data items is normally distributed with a mean of 400 and a standard deviation of 60. Find the data item in this distri

Softa [21]

Answer:

The data item is $X = 580$

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Mean of 400 and a standard deviation of 60.

This means that $\mu = 400, \sigma = 60$