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Burka [1]
2 years ago
7

Cooper owns a hardware store.

Mathematics
1 answer:
maw [93]2 years ago
5 0

We want to see which of the listed situations can be modeled with linear equations. We will see that the situations that are linear are:

  • "He sells 5 propane stoves each day for 4 consecutive days"
  • "Cooper's profit decreases by $125 each day for 5 days"
  • "Cooper sells 2 fewer fishing poles each day for 1 week".

<h3>Finding situations that are linear</h3>

First, a linear equation shows a dependence of two variables as:

y = a*x + b

Where y and x are the variables, a is the slope and b is the y-intercept.

Let's see which situations can be written in this form.

"He sells 5 propane stoves each day for 4 consecutive days."

If we define y = number of propane stoves sold and x = number of days, then we can write this as:

y = 5*x

Where x goes from 0 to 4, so this can be represented with a linear equation.

"Cooper's profit decreases by $125 each day for 5 days."

Similar to before, we have a fixed change per day, so this again can be modeled with a linear equation.

"Cooper's profit doubles each month for 3 consecutive months."

This can not be modeled with a linear equation, the problem here is that the change is not fixed.

Because the profit is doubled, the change will depend on the value of the profit (so the double of 4 is not the same as the double of 5, just to give an example). Thus, this can not be modeled with a linear equation, this actually needs an exponential equation.

"Cooper sells 2 fewer fishing poles each day for 1 week."

Similar to the first and second case, each day he has 2 fewer fishing poles, a fixed number per day, thus, this can be modeled with a linear equation.

If you want to learn more about linear equations, you can read:

brainly.com/question/4025726

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A statistician is testing the null hypothesis that exactly half of all engineers will still be in the profession 10 years after
lana [24]

Answer:

95% confidence interval estimate for the proportion of engineers remaining in the profession is [0.486 , 0.624].

(a) Lower Limit = 0.486

(b) Upper Limit = 0.624

Step-by-step explanation:

We are given that a statistician is testing the null hypothesis that exactly half of all engineers will still be in the profession 10 years after receiving their bachelor's.

She took a random sample of 200 graduates from the class of 1979 and determined their occupations in 1989. She found that 111 persons were still employed primarily as engineers.

Firstly, the pivotal quantity for 95% confidence interval for the population proportion is given by;

                         P.Q. = \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }  ~ N(0,1)

where, \hat p = sample proportion of persons who were still employed primarily as engineers  = \frac{111}{200} = 0.555

           n = sample of graduates = 200

           p = population proportion of engineers

<em>Here for constructing 95% confidence interval we have used One-sample z proportion test statistics.</em>

So, 95% confidence interval for the population proportion, p is ;

P(-1.96 < N(0,1) < 1.96) = 0.95  {As the critical value of z at 2.5% level of

                                                 significance are -1.96 & 1.96}  

P(-1.96 < \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } } < 1.96) = 0.95

P( -1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } < {\hat p-p} < 1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ) = 0.95

P( \hat p-1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } < p < \hat p+1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ) = 0.95

<u>95% confidence interval for p</u> = [ \hat p-1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } , \hat p+1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ]

 = [ 0.555-1.96 \times {\sqrt{\frac{0.555(1-0.555)}{200} } } , 0.555+1.96 \times {\sqrt{\frac{0.555(1-0.555)}{200} } } ]

 = [0.486 , 0.624]

Therefore, 95% confidence interval for the estimate for the proportion of engineers remaining in the profession is [0.486 , 0.624].

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Assuming you can’t use the same topping twice,
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Read 2 more answers
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