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lianna [129]
3 years ago
6

Which unit is part of the SI system?

Mathematics
1 answer:
Orlov [11]3 years ago
7 0
Gallon should be correct
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Solve for k k/6 = 4/3
AURORKA [14]

Answer:

k = 8

Step-by-step explanation:

Given

\frac{k}{6} = \frac{4}{3} ( cross- multiply )

3k = 24 ( divide both sides by 3 )

k = 8

8 0
3 years ago
I already did 1,2 I just need help with three I’ll give u the best rating if u can answer it ❤️
nordsb [41]

Answer:

125in³

Step-by-step explanation:

A box that would perfectly fit the bowling ball will be a cube shape.

The box will have the dimensions 5in by 5in by 5in. These dimensions come from the diameter for the ball.

Calculate volume using V = s³, where "s" stands for a side.

V = s³

V = (5in)³

V = 125in³

Mr. Ryan needs a box with the volume 125 cubic inches.

5 0
3 years ago
How many pints are needed for 2 3/4 pots of soup?
Likurg_2 [28]

Answer:

1.38

Step-by-step explanation:

2 cups is one pint so if 3/4 is .38 then you would put it together to get 1.38

8 0
3 years ago
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
Charles sells computer hardware for a computer manufacturer. He is paid 4% for
valentinak56 [21]
Call me 205 579 7799 if u need help because this stuff is easy
3 0
3 years ago
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