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Juli2301 [7.4K]
3 years ago
15

My teacher says theres 3 correct answers

Mathematics
1 answer:
Anettt [7]3 years ago
3 0
All of them except the second one .
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Can someone help me answer this?
lbvjy [14]

Answer:

(30,60)

90mph

Step-by-step explanation:

5 0
3 years ago
describe how axioms about addition in particular could be helpful in developing theorems about multiplication.
Lady_Fox [76]
The axioms in addition help in developing theorems about multiplication because multiplication, in simple terms, repeated addition.
As an example,
This addition operation
3 + 3 + 3 + 3 = 12
can be expressed as a multiplication operation
3 x 4 = 12
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8 0
2 years ago
Find last year's salary if, after a 5% pay raise, this year's salary is $36,225.
Nataly [62]

Answer:

$34500

Step-by-step explanation:

In order to reverse a 5% pay raise, divide by 1.05.

36225/1.05=34500

6 0
3 years ago
Micheal buys a new jacket for 90 dollars. Sales tax is 8%. How much does Micheal actually have to pay?
Illusion [34]

Answer:

$97.20

Step-by-step explanation:

you make the 8% into a decimal by moving the decimal to places to the left.

8%=0.08, Then you multiply that by the whole number of 90 dollars.

0.08 x 90 = $97.20

3 0
2 years ago
6.1.3
Nata [24]

Answer:

The requirements that are necessary for a normal probability distribution to be a standard normal probability distribution are <em>µ</em> = 0 and <em>σ</em> = 1.

Step-by-step explanation:

A normal-distribution is an accurate symmetric-distribution of experimental data-values.  

If we create a histogram on data-values that are normally distributed, the figure of columns form a symmetrical bell shape.  

If X \sim N (µ, σ²), then Z=\frac{X-\mu}{\sigma}, is a standard normal variate with mean, E (Z) = 0 and Var (Z) = 1. That is, Z \sim N (0, 1).

The distribution of these z-variates is known as the standard normal distribution.

Thus, the requirements that are necessary for a normal probability distribution to be a standard normal probability distribution are <em>µ</em> = 0 and <em>σ</em> = 1.

8 0
2 years ago
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