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3 years ago

What does exlamitory mean

Mathematics

1 answer:

Pachacha [2.7K]3 years ago

6 0

I think you mean exclamatory, which means a remark one expressing surprise or pain.

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What are the zeros of the quadratic function represented by this graph?

mario62 [17]

Answer:

Step-by-step explanation:

answer : C when this graph passes trough x-axis

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2 years ago

A letter L with a height of 9 inches is drawn on the actual flag. What should be the height and inches of a letter L in the scal

NISA [10]

Answer:

0.5 inch on the drawing

Step-by-step explanation:

The following information is missing:

<em>The scale factor of the drawing to the actual flag is represented by the ratio 1:18. </em>

This scale factor means that 1 inch on the drawing are equivalent to 18 inches o n the actual flag. We want to know the height on the drawing, given that a height of 9 inches is drawn on the actual flag. The following proportion must be satisfied:

1 inch on the drawing / x inch on the drawing = 18 inches o n the actual flag / 9 inches o n the actual flag

x = 9/18 = 0.5 inch on the drawing

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2 years ago

You estimate that there are 75 marbles in a jar. The actual amount is 82 marbles. Find the percent error

Vikentia [17]

Answer:

Percent Error:: 12/36 = 33 1/3 %

Step-by-step explanation:

5 0

3 years ago

PLZ HURRY i need this for test if you have the answers for all questions plz put the test is for plato algebra A1 unit3 post tes

elena-14-01-66 [18.8K]

Explanation is in the file

tinyurl.com/wpazsebu

7 0

2 years ago

A college conducts a common test for all the students. For the Mathematics portion of this test, the scores are normally distrib

Jet001 [13]

Using the normal distribution, it is found that 58.97% of students would be expected to score between 400 and 590.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean $\mu$ and standard deviation $\sigma$ is given by:

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

The z-score measures how many standard deviations the measure is above or below the mean.

Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.

The mean and the standard deviation are given, respectively, by:

$\mu = 502, \sigma = 115$

The proportion of students between 400 and 590 is the <u>p-value of Z when X = 590 subtracted by the p-value of Z when X = 400</u>, hence:

X = 590:

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

$Z = \frac{590 - 502}{115}$

Z = 0.76

Z = 0.76 has a p-value of 0.7764.

X = 400:

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

$Z = \frac{400 - 502}{115}$

Z = -0.89

Z = -0.89 has a p-value of 0.1867.

0.7764 - 0.1867 = 0.5897 = 58.97%.

58.97% of students would be expected to score between 400 and 590.

More can be learned about the normal distribution at brainly.com/question/27643290

#SPJ1

6 0

1 year ago