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3 years ago

I just need help wit this quick question

Mathematics

2 answers:

Lapatulllka [165]3 years ago

5 0

Answer:

Step-by-step explanation:

Yes they do contradict

Acute means less than 90 while obtuse means more than 90.

Both can't exist for the same triangle at the same time.

Aloiza [94]3 years ago

3 0

9514 1404 393

Answer:

yes

Step-by-step explanation:

A triangle is acute if its largest angle is acute.

A triangle is obtuse if its largest angle is obtuse.

A triangle cannot be both acute and obtuse, so, yes, the statements contradict each other.

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HELP PLEASEEEE simplify (4^3)^5

muminat

Step-by-step explanation:

(4^3)^5 = 4^(3×5) = 4^15 (option C)

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3 years ago

Write an equation of the line in slope-intercept form (0,-1) (3,5)

ZanzabumX [31]

$\bf (\stackrel{x_1}{0}~,~\stackrel{y_1}{-1})\qquad 
(\stackrel{x_2}{3}~,~\stackrel{y_2}{5})
\\\\\\
% slope = m
slope = m\implies 
\cfrac{\stackrel{rise}{ y_2- y_1}}{\stackrel{run}{ x_2- x_1}}\implies \cfrac{5-(-1)}{3-0}\implies \cfrac{5+1}{3-0}
\\\\\\
\cfrac{6}{3}\implies 2
\\\\\\
% point-slope intercept
\stackrel{\textit{point-slope form}}{y- y_1= m(x- x_1)}\implies y-(-1)=2(x-0)\implies y+1=2x
\\\\\\
y=2x-1$

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4 years ago

Which of the following was a key cause of World War II?

slamgirl [31]

D. The Assassination of Archduke Frank Ferdinand by Serbian

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4 years ago

Read 2 more answers

vitfil [10]

57+57+63

=177

no, there are more students than seats, (unless the players are included in the number?) in that case are there 27 players in a game? idk basketball, on the bench maybe?

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3 years ago

The distribution of SAT II Math scores is approximately normal with mean 660 and standard deviation 90. The probability that 100

gayaneshka [121]

Using the <em>normal distribution and the central limit theorem</em>, it is found that there is a 0.1335 = 13.35% probability that 100 randomly selected students will have a mean SAT II Math score greater than 670.

<h3>Normal Probability Distribution</h3>

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

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

It 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, which is the percentile of X.

By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .

In this problem:

The mean is of 660, hence $\mu = 660$ .

The standard deviation is of 90, hence $\sigma = 90$ .

A sample of 100 is taken, hence $n = 100, s = \frac{90}{\sqrt{100}} = 9$ .

The probability that 100 randomly selected students will have a mean SAT II Math score greater than 670 is <u>1 subtracted by the p-value of Z when X = 670</u>, hence:

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

By the Central Limit Theorem

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

$Z = \frac{670 - 660}{9}$

$Z = 1.11$

$Z = 1.11$ has a p-value of 0.8665.

1 - 0.8665 = 0.1335.

0.1335 = 13.35% probability that 100 randomly selected students will have a mean SAT II Math score greater than 670.

To learn more about the <em>normal distribution and the central limit theorem</em>, you can take a look at brainly.com/question/24663213

7 0

2 years ago