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castortr0y [4]
3 years ago
9

Calculating Profit Using this table, calculate the profit at each level of bicycle production. One bike: -$ Two bikes: $ Three b

ikes: $ Four bikes: $ Five bikes: $ Six bikes: $ Seven bikes: $
Mathematics
1 answer:
leonid [27]3 years ago
8 0

Answer:

1~30

2~3

3~40

4~70

5~90

6~90

7~80

Step-by-step explanation:

subtract the total revenue from the total cost

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According to​ Charles's law, if the pressure is held​ constant, the volume of a gas varies directly with the temperature measure
Ksju [112]

Answer:

V₂ = 252 cm³

Step-by-step explanation:

Charles's law = If the pressure is held​ constant, the volume of a gas varies directly with the temperature measured on the Kelvin scale.

Mathematically, V=kT

\dfrac{V_1}{T_1}=\dfrac{V_2}{T_2}

We have, V₁ = 192 cm³, T₁ = 112 K, T₂ = 147 cm³, V₂ = ?

Using the above relation of Charles's law :

V_2=\dfrac{V_1T_2}{T_1}\\\\V_2=\dfrac{192\times 147}{112}\\\\V_2=252\ cm^3

So, the new temperature is 252 cm³.

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2 years ago
What is the slope of the line that passes through (-2, 7) and (4, 9)?
prohojiy [21]
Slope=(9-7)/(4+ 2) = 1/3
3 0
3 years ago
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A recipe for 8 people includes 4 pounds of sugar. How many pounds of sugar would be necessary for 6 people?
sammy [17]

Answer:

3pound sugar .,......................

3 0
2 years ago
A sample of 1200 computer chips revealed that 45% of the chips fail in the first 1000 hours of their use. The company's promotio
yaroslaw [1]

Answer:

z=\frac{0.45 -0.48}{\sqrt{\frac{0.48(1-0.48)}{1200}}}=-2.08

p_v = P(Z

So the p value obtained was a low value and using the significance level given \alpha=0.05 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of chips that fail in the first 1000 hours of their use is not significantly less than 0.48.   

Step-by-step explanation:

Data given and notation

n=1200 represent the random sample taken

\hat p=0.45 estimated proportion of chips that fail in the first 1000 hours of their use

\mu_0 =0.48 is the value that we want to test

\alpha=0.05 represent the significance level

Confidence=95% or 0.95

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the true proportion si less then 0.48:  

Null hypothesis:p\geq 0.48  

Alternative hypothesis:p < 0.48  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion  is significantly different from a hypothesized value .

Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.45 -0.48}{\sqrt{\frac{0.48(1-0.48)}{1200}}}=-2.08

Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The significance level provided \alpha=0.05. The next step would be calculate the p value for this test.  

Since is a left tailed test the p value would be:  

p_v = P(Z

So the p value obtained was a low value and using the significance level given \alpha=0.05 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of chips that fail in the first 1000 hours of their use is not significantly less than 0.48.  

6 0
3 years ago
NEED THE ANSWER ASAP PLEASE
timurjin [86]

Answer:

2

Step-by-step explanation:

\frac{y1 - y2}{x1 - x2}  \\  \frac{2 - 6}{ - 5 - ( - 3)}  \\  \frac{ - 4}{ - 5 + 3}  \\  \frac{ - 4}{ - 2}  \\  = 2

8 0
3 years ago
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