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rjkz [21]
3 years ago
15

The function for the cost of materials to make a hat is f(x)=1/2 x+1 where x is the number of hats. The function for the selling

price of those hats is g(f(x)) where g(x)=x+2 find the selling price of 10 hats???

Mathematics
1 answer:
il63 [147K]3 years ago
5 0
I hope this helps you

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I need the answers asappp!!!!
labwork [276]

Answer:

Part A:y=4,1,0,1,4

Step-by-step explanation:

Mark me as brainliest

5 0
2 years ago
Does anyone know what the 5√2 (simplify radicals)?
maks197457 [2]

Answer:

  5√2 is as simple as it gets

  5√2 ≈ 7.071068

Step-by-step explanation:

One simplifies radical expressions by removing from under the radical any squares that might be there. 2 is a prime number, so has no square factors. The simplest form of this radical expression is the one given:

  5√2

Your calculator can tell you the value of this irrational number is about ...

  5√2 ≈ 7.071068

8 0
3 years ago
Evaluate the function at the given values<br> F(y) = 4y^4 - 6y^2 + 8y - 15<br> At y = 2
otez555 [7]
F(2)= 4(16) - 6(4) + 8(2) - 15
F(2)= 64 -24 + 16 - 15
F(2)= 41
7 0
2 years ago
Gibbs Baby Food Company wishes to compare the weight gain of infants using its brand versus its competitor’s. A sample of 40 bab
Leviafan [203]

Answer:

z=\frac{(7.6-8.1)-0}{\sqrt{\frac{2.3^2}{40}+\frac{2.9^2}{55}}}}=-0.936  

The p value can be founded with this formula:

p_v =P(z  

Since the p value is higher than the significance level provided of 0.05 we have enough evidence to FAIL to reject the null hypothesis and we can't conclude that the true mean for the Gibbs brand is significantly lower than the true mean for the competitor

Step-by-step explanation:

Information given

\bar X_{1}=7.6 represent the mean for Gibbs products

\bar X_{2}=8.1 represent the mean for the competitor

\sigma_{1}=2.3 represent the population standard deviation for Gibbs

\sigma_{2}=2.9 represent the sample standard deviation for the competitor

n_{1}=40 sample size for the group Gibbs

n_{2}=55 sample size for the group competitor

\alpha=0.05 Significance level provided

z would represent the statistic

Hypothesis to verify

We want to check if babies using the Gibbs brand gained less weight, the system of hypothesis would be:  

Null hypothesis:\mu_{1}-\mu_{2}=0  

Alternative hypothesis:\mu_{1} - \mu_{2}< 0  

The statistic would be given by:

z=\frac{(\bar X_{1}-\bar X_{2})-\Delta}{\sqrt{\frac{\sigma^2_{1}}{n_{1}}+\frac{\sigma^2_{2}}{n_{2}}}} (1)  

Replacing the info given we got:

z=\frac{(7.6-8.1)-0}{\sqrt{\frac{2.3^2}{40}+\frac{2.9^2}{55}}}}=-0.936  

The p value can be founded with this formula:

p_v =P(z  

Since the p value is higher than the significance level provided of 0.05 we have enough evidence to FAIL to reject the null hypothesis and we can't conclude that the true mean for the Gibbs brand is significantly lower than the true mean for the competitor

5 0
3 years ago
If 21 and 35 are two members of a pythagorean triple, what is the third member?
Firlakuza [10]

Answer:

28

Step-by-step explanation:

21^2+28^2=35^2

7 0
2 years ago
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