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denis-greek [22]

3 years ago

12

PLEASE HELP! I am doing Imagine Math and I need help with this question!

1 answer:

Vaselesa [24]3 years ago

5 0

The bottom left option is when it is reflected over the x axis, the second to last option on the left is when it is reflected of the y axis, and the middle option is when it is reflected over the line y = x

Hope this helps :)

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2r2 + 3s3 − r2 + 4t2 − r2 if r = −2, s = −3, and t = 5.

Elza [17]

First, simplify the expression $2r^2 + 3s^3 - r^2 + 4t^2 - r^2.$ Here you have three terms with $r^2,$ group them in the following way:

$2r^2 + 3s^3 - r^2 + 4t^2 - r^2=2r^2-r^2-r^2+3s^3+4t^2=(2r^2-r^2-r^2)+3s^3+4t^2=$

$=r^2(2-1-1)+3s^3+4t^2=3s^3+4t^2.$

Then substitute s=-3 and t=5:

$3s^3+4t^2=3\cdot (-3)^3+4\cdot 5^2=3\cdot (-27)+4\cdot 25=-81+100=19.$

Answer: 19.

3 0

3 years ago

Read 2 more answers

Jerry sure is made of 60% cotton and 40% polyester what is the ratio of polyester to Cotton

olga55 [171]

4:6 is the ratio of the polyester cotton

6 0

3 years ago

It’s a i not a 1 (13+i)^2 <br><br> Need help please ??

s2008m [1.1K]

Answer:

196

Step-by-step explanation:

13 plus 1 is 14 then multiply 14 by itself twice

8 0

3 years ago

Find the value of x and y so that both proportions will be correct:

SOVA2 [1]

Note that a:b = c:d is the same as a/b = c/d

y:1.5=0.2:0.75 same as y/1.5 = 0.2/0.75

y = 0.4

x: 1 2/3=y:3 1/3 same as x/1 2/3 = y / 3 1/3

x = y/2 = 0.2

3 0

3 years ago

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in a given year, the rate of flu infection for the general public was 8.3%. And sample of 200 people who receive the flu vaccine

makkiz [27]

Answer:

$\fbox{\begin{minipage}{10em}Option A is correct\end{minipage}}$

Step-by-step explanation:

<em>Step 1: Define significance level</em>

In this hypothesis testing problem, significance levels α is selected: $0.05$ , the associated z-value from Laplace table:

Φ( $z$ ) = α - $0.5 = 0.05 - 0.5 = -0.45$

=> $z$ = $-1.645$

<em>Step 2: Define null hypothesis (</em> $H_{0}$ <em>) and alternative hypothesis (</em> $H_{1}$ <em>)</em>

$H_{0}$ : rate of flu infection $p$ = 8.3% or 8.3/100 = 0.083

$H_{1}$ : rate of flu infection $p$ < 8.3% or 8.3/100 = 0.083

<em>Step 3: Apply the formula to check test statistic:</em>

$K = \frac{f - p}{\sqrt{p(1 - p)} } * \sqrt{n}$

with $f$ is actual sampling percent, $p$ is rate of flu infection of $H_{0}$ , $n$ is number of samples.

The null hypothesis will be rejected if $K < z$

<em>Step 4: Calculate the value of K and compare with </em> $z$

$K = \frac{(\frac{3.5}{100}) - 0.083}{\sqrt{0.083(1 - 0.083)} } * \sqrt{200} = -2.46$

We have $-2.46 < -1.645$

=>This is good evidence to reject null hypothesis.

=> The actual rate is lower. (As $H_{1}$ states)

Hope this helps!

:)

5 0

3 years ago