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Neko [114]
3 years ago
7

I will give u 5 stars for you answer and ill mark u brainilest if u tell me how to do it.

Mathematics
1 answer:
kolezko [41]3 years ago
3 0

Answer:

Erin ran 12.5 miles

Luis ran 7.5

In all they ran 20 miles.

Step-by-step explanation:

Erin: 5 x 3.5 = ?

Luis: 3 x 2.5 = ?

----------------------------

5 x 2.5 = 12.5 . Erin ran 12.5 miles

3 x 2.5 = 7.5 .  Luis ran 7.5 miles

7.5 + 12.5 = 20 miles

They ran 20 miles all together.

Hope this helps!

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3/8 cups

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Total fraction = 1/4 + 1/8

= 2/8 + 1/8

= 3/8

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At the beginning of March, a store bought a fancy watch at a cost of $250 and marked it up 20%. At the end of the month, the fan
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$270

Step-by-step explanation:

Price after markup was 1.20($250) = $300

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7 0
3 years ago
WILL GIVE BRAINLIEST!
Radda [10]

Answer:

4 ounces of corn and 4 ounces of squash

Step-by-step explanation:

Let S be the no. of ounces of squash

Let C be the no. of ounces of corn

C》2 --> (A)

S》C --> (B)

Total protein 》 3

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4 0
3 years ago
You want to rent a limousine for a trip to the city. The limo costs $700 for the night and $0.15 per mile. You have $750 to spen
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First, subtract 700 from both sides and you are left with .15m≤50
Then divide both sides by .15 and you are left with m ≤ 333.33.  Thus, the limo can only travel 333.33 miles.
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An auto company claims that the fuel efficiency of its sedan has been substantially improved. A consumer advocate organization w
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Answer:

t=\frac{\bar d -0}{\frac{s_d}{\sqrt{n}}}=\frac{0.983 -0}{\frac{1.685}{\sqrt{12}}}=2.021

df=n-1=12-1=11

p_v =P(t_{(11)}>2.021) =0.0342

If we compare the the p value with the significance level provided \alpha=0.1, we see that p_v < \alpha, so then we can reject the null hypothesis. and there is a significant increase in the miles per gallon from 2017 to 2019 at 10% of significance.

Step-by-step explanation:

Previous concepts

A paired t-test is used to compare two population means where you have two samples in  which observations in one sample can be paired with observations in the other sample. For example  if we have Before-and-after observations (This problem) we can use it.  

Let put some notation :

x=test value 2017 , y = test value 2019

x: 28.7 32.1 29.6 30.5 31.9 30.9 32.3 33.1 29.6 30.8 31.1 31.6

y: 31.1 32.4 31.3 33.5 31.7 32.0 31.8 29.9 31.0 32.8 32.7 33.8

Solution to the problem

The system of hypothesis for this case are:

Null hypothesis: \mu_y- \mu_x \leq 0

Alternative hypothesis: \mu_y -\mu_x >0

Because if we have an improvement we expect that the values for 2019 would be higher compared with the values for 2017

The first step is calculate the difference d_i=y_i-x_i and we obtain this:

d: 2.4, 0.3, 1.7,3,-0.2, 1.1, -0.5, -3.2, 1.4, 2, 1.6, 2.2

The second step is calculate the mean difference  

\bar d= \frac{\sum_{i=1}^n d_i}{n}= \frac{11.8}{12}=0.983

The third step would be calculate the standard deviation for the differences, and we got:

s_d =\frac{\sum_{i=1}^n (d_i -\bar d)^2}{n-1} =1.685

We assume that the true difference follows a normal distribution. The 4th step is calculate the statistic given by :

t=\frac{\bar d -0}{\frac{s_d}{\sqrt{n}}}=\frac{0.983 -0}{\frac{1.685}{\sqrt{12}}}=2.021

The next step is calculate the degrees of freedom given by:

df=n-1=12-1=11

Now we can calculate the p value, since we have a right tailed test the p value is given by:

p_v =P(t_{(11)}>2.021) =0.0342

If we compare the the p value with the significance level provided \alpha=0.1, we see that p_v < \alpha, so then we can reject the null hypothesis. and there is a significant increase in the miles per gallon from 2017 to 2019 at 10% of significance.

4 0
3 years ago
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