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Gekata [30.6K]
1 year ago
8

Rita needs to replace the ink cartridge for her printer. She found four brands that make replacement cartridges. The table below

shows the prices and number of pages expected from each brand.
Ink Cartridges
Brand
Price
Number of Pages
A
$20.00
200
B
$25.00
125
C
$30.00
150
D
$35.00
250

Which brand is the best buy?
A
B
C
Mathematics
1 answer:
Rasek [7]1 year ago
4 0

The brand of cartridge which is the best buy us the brand with the lowest unit price which is brand A.

<h3>Unit price</h3>

Brand A

Cost = $20

pages = 200

Unit price = $20/200

= $0.1 per page

Brand B:

Cost = $25

Pages = 125

Unit price = $25/125

= $0.2 per page

Brand C:

Cost = $30

Pages = 150

Unit price = $30 / 150

= $0.2 per page

Brand D:

Cost = $35

Pages = 250

Unit price = $35 / 250

= $0.14 per page

Therefore, the brand of cartridge which is the best buy us the brand with the lowest unit price which is brand A.

Learn more about unit price:

brainly.com/question/14286952

#SPJ1

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tino4ka555 [31]

For this case we have that the distance between two points is given by:


d = \sqrt{(y2-y1)^2+(x2-x1)^2}

Given the points:


(x1, y1) = (1, -4)(x2, y2) = (1,0)

We substitute in the formula:


d = \sqrt{(0 - (- 4)) ^ 2 + (1-1) ^ 2}

d = \sqrt{(4 ^ 2 + 0 ^ 2)}

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Answer:


d = 4


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Answer:

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If we compare the p value and a significance level for example \alpha=0.1 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, so we can conclude that the true mean it's not significantly less than 20 min.

Step-by-step explanation:

Data given and notation    

\bar X=18.81 represent the average lateral recumbency for the sample    

s=8.4 represent the sample standard deviation    

n=75 sample size    

\mu_o =20 represent the value that we want to test    

\alpha represent the significance level for the hypothesis test.    

t would represent the statistic (variable of interest)    

p_v represent the p value for the test (variable of interest)    

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We need to apply a left tailed  test.  

What are H0 and Ha for this study?    

Null hypothesis:  \mu \geq 20  

Alternative hypothesis :\mu < 20  

Compute the test statistic  

The statistic for this case is given by:  

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}} (1)    

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".    

Calculate the statistic    

We can replace in formula (1) the info given like this:    

t=\frac{18.81-20}{\frac{8.4}{\sqrt{75}}}=-1.227

The degrees of freedom are given by:

df=n-1=75-1=74    

Give the appropriate conclusion for the test  

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

p_v =P(t_{74}    

Conclusion    

If we compare the p value and a significance level for example \alpha=0.1 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, so we can conclude that the true mean it's not significantly less than 20 min.

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