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bezimeni [28]
3 years ago
11

F(x)=x^2. What is g(x)?

Mathematics
1 answer:
nlexa [21]3 years ago
5 0

Answer:

g(x)= 4x²

The choose (A)

I hope I helped you ^_^

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Write the ratio 28 to 56 in simplest form
Andre45 [30]
The ratio shown in fraction form would be; \frac{28}{56}

Now to convert it to its simplest form, you need to find their greatest common factor; (so in this case it would be 28...cause 28 goes into 56 evenly)
*Now divide both terms by 28

28 ÷ 28 = 1
56 ÷ 28 = 2
 
so your ratio 28 to 56 in simplest form is.. \frac{1}{2}
Hope this helps :)
6 0
4 years ago
Read 2 more answers
What are the steps to solve this problem?<br><br> 0.000027 ÷ 0.000009
vovikov84 [41]

Answer:0.000003

Step-by-step explanation: since 27÷9=3, factor it to decimals

8 0
3 years ago
Which does not apply?
Assoli18 [71]

Answer:

deez nuțs

Step-by-step explanation:

got em

the answet is b.

4 0
3 years ago
Let the sample size of leg strengths to be 7 and the sample mean and sample standard deviation be 630 watts and 32 watts, respec
Colt1911 [192]

Answer:

a. There is_<u><em>sufficient</em></u> evidence that the leg

C. 0.010 < P-value < 0.025

b. Power of test = 1- β=0.2066

c. So the sample size is 88

Step-by-step explanation:

We formulate the null and alternative hypotheses as

H0 : u1= u2 against Ha : u1 > u2 This is a right tailed test

Here n= 7 and significance level ∝= 0.005

Critical value for a right tailed test with 6 df is 1.9432

Sample Standard deviation = s= 32

Sample size= n= 7

Sample Mean =x`= 630

Degrees of freedom = df = n-1= 7-1= 6

The test statistic used here is

Z = x- x`/ s/√n

Z= 630-600 / 32 / √7

Z= 2.4797= 2.48

P- value = 0.0023890 > ∝ reject the null hypothesis.

so it lies between 0.010 < P-value < 0.025

b) Power of test if true strength is 610 watts.

For  a right tailed test value of z is = ± 1.645

P (type II error) β= P (Z< Z∝-x- x`/ s/√n)

Z = x- x`/ s/√n

Z= 610-630 / 32 / √7

Z=0.826

P (type II error) β= P (Z< 1.645-0.826)

= P (Z> 0.818)

= 0.7933

Power of test = 1- β=0.2066

(c)

true mean = 610

hypothesis mean = 600

standard deviation= 32

power = β=0.9

Z∝= 1.645

Zβ= 1.282

Sample size needed

n=( (Z∝ +Zβ )*s/ SE)²

n=  ((1.645+1.282) 32/ 10)²

Putting the values  and solving we get 87.69

So the sample size is 88

5 0
3 years ago
What is 12.3 + 4.7 estimate sum and difference
expeople1 [14]

Answer:

sum: 17

difference: 7.6

Step-by-step explanation:

5 0
4 years ago
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