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2 years ago

11

Going to highschool next year! Can anyone help me understand Algebra? Math isn't a good subject of mine. My class sort of tried

a bit of Algebra and I just couldn't seem to get it.

1 answer:

AlekseyPX2 years ago

8 0

WHat would you like to know? I took algebra 1 in my 7th grade year. Algebra 2 my 8th, geometry 9th, and rn im in Pre-calc. I bet I can help!

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One Step Equations<br> solve for x <br><br> 2.4+x=9.8

Simora [160]

Answer:

x=7.4

Step-by-step explanation:

2.4+x=9.8

(x=9.8-2.4)

x=7.4

7 0

2 years ago

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Last week you worked 7 hours more than you normally do. Your typical week totals 36 hours.What was the total number of hours you

sergejj [24]

The answer is 43 because 36 + 7 = 43

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2 years ago

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A standardized exam's scores are normally distributed. In a recent year, the mean test score was 14901490 and the standard dev

kicyunya [14]

<h2>Answer with explanation:</h2>

Given : A standardized exam's scores are normally distributed.

Mean test score : $\mu=1490$

Standard deviation : $\sigma=320$

Let x be the random variable that represents the scores of students .

z-score : $z=\dfrac{x-\mu}{\sigma}$

We know that generally , z-scores lower than -1.96 or higher than 1.96 are considered unusual .

For x= 1900

$z=\dfrac{1900-1490}{320}\approx1.28$

Since it lies between -1.96 and 1.96 , thus it is not unusual.

For x= 1240

$z=\dfrac{1240-1490}{320}\approx-0.78$

Since it lies between -1.96 and 1.96 , thus it is not unusual.

For x= 2190

$z=\dfrac{2190-1490}{320}\approx2.19$

Since it is greater than 1.96 , thus it is unusual.

For x= 1240

$z=\dfrac{1370-1490}{320}\approx-0.38$

Since it lies between -1.96 and 1.96 , thus it is not unusual.

5 0

2 years ago

Can you help me on question 28!!

statuscvo [17]

The correct answer is B, because 65+0.20x140=93. You must multiply 0.20 times 140 first, and get 28 and than add 28+65=93.

8 0

2 years ago

When you calculate your regression line, you are: Group of answer choices Minimizing the sum of the errors Finding the error for

Olenka [21]

Answer:

Finding the error for each observation, squaring the error and minimizing the sum

Step-by-step explanation:

The regression line is a straight line which gives a description of how the dependent variable y changes as changes occur in the independent variable X. It gives a prediction of the value of Y for any given value of X.

The method of least squares is used for squaring the error and also used for minimising the sum. Therefore, when you calculate the regression line, you would be Finding the error for each observation, squaring the error and minimizing the sum.

6 0

2 years ago