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hammer [34]
2 years ago
11

Air pressure may be represented as a function of height above the surface of the Earth as shown below. P(h)=PoE^-.00012h In this

function, P0 is air pressure at sea level, and h is measured in meters. Which of the following equations will find the height at which air pressure is 65% of the air pressure at sea level? A. Po=.65PoE^-.00012h B. .65Po=PoE^-.00012h C. .65=h*e^-.00012 D. h=.65e^-.00012
Mathematics
2 answers:
GarryVolchara [31]2 years ago
8 0
The answer is B because you p(h) = 0.65Po and it shows .65Po=PoE^-0.00012h
AlexFokin [52]2 years ago
4 0

The equation to find the air pressure (P(h)) at a height above sea level (h) is given by

P(h)=P_{0} e^{-0.00012h}

Where,

  • P(h) is the new pressure at height h
  • P_{0} is the air pressure at sea level, and
  • h is the height (measured in meters).

We want to know the new pressure that is 65% of P_0.  So we should substitute 0.65P_0 in P(h) (new pressure) to get the equation:

0.65P_0=P_0e^{-0.00012h}. Answer choice B is the correct one.

ANSWER: B

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vaieri [72.5K]
When you regroup you are basically breaking down the problem.
You would do 60 + 40=?
Then you would do 4 + 3= ?
Your answer would come out to 107
4 0
2 years ago
In a rectangle, a diagonal forms a 36° angle with a side. Find the measure of the angle between the diagonals, which lies opposi
bezimeni [28]

Answer:

The answer is 72 degrees

Step-by-step explanation:

The picture that Helpmetnx showed does work. But they made a mistake and assumed that the diagonal is a angle bisector, and it's not.

1. rectangle ABCD, BD & AC are the diagonals. ∠ABD =36 degrees

2. ∠ABD= ∠BDC = 36 - alternate interior angles

3. ∠DBC = 90 - 36 = 54. ∠DBC =∠ADB = ∠BCA = 54

4. Now we know that the triangle formed between the two diagonals is a isosceles triangle because of base angle theorem.

5. 180 - 54*2 = 72 degrees

I hope this helps!

8 0
1 year ago
Use the data below, showing a summary of highway gas mileage for several observations, to decide if the average highway gas mile
Murrr4er [49]

Answer:

Step-by-step explanation:

Hello!

You need to test at 1% if the average highway gas mileage is the same for three types of vehicles (midsize cars, SUV's and pickup trucks) to compare the average values of the three groups altogether, you have to apply an ANOVA.

                n  |  Mean |  Std. Dev.

Midsize  | 31 |  25.8   |  2.56

SUV’s     | 31 |  22.68 |  3.67

Pickups  | 14 |  21.29  |  2.76

Be the study variables :

X₁: highway gas mileage of a midsize car

X₂: highway gas mileage of an SUV

X₃: highway gas mileage of a pickup truck.

Assuming these variables have a normal distribution and are independent.

The hypotheses are:

H₀: μ₁ = μ₂ = μ₃

H₁: At least one of the population means is different.

α: 0.01

The statistic for this test is:

F= \frac{MS_{Treatment}}{MS_{Error}}~F_{k-1;n-k}

Attached you'll find an ANOVA table with all its components. As you see, to manually calculate the statistic you have to determine the Sum of Squares and the degrees of freedom for the treatments and the errors, next you calculate the means square for both and finally the test statistic.

<u>For the treatments:</u>

The degrees of freedom between treatments are k-1 (k represents the amount of treatments): Df_{Tr}= k - 1= 3 - 1 = 2

<u>The sum of squares is: </u>

SSTr: ∑ni(Ÿi - Ÿ..)²

Ÿi= sample mean of sample i ∀ i= 1,2,3

Ÿ..= grand mean, is the mean that results of all the groups together.

So the Sum of squares pf treatments SStr is the sum of the square of difference between the sample mean of each group and the grand mean.

To calculate the grand mean you can sum the means of each group and dive it by the number of groups:

Ÿ..= (Ÿ₁ + Ÿ₂ + Ÿ₃)/ 3 = (25.8+22.68+21.29)/3 = 23.256≅ 23.26

SS_{Tr}= (Ÿ₁ - Ÿ..)² + (Ÿ₂ - Ÿ..)² + (Ÿ₃ - Ÿ..)²= (25.8-23.26)² + (22.68-23.26)² + (21.29-23.26)²= 10.6689

MS_{Tr}= \frac{SS_{Tr}}{Df_{Tr}}= \frac{10.6689}{2}= 5.33

<u>For the errors:</u>

The degrees of freedom for the errors are: Df_{Errors}= N-k= (31+31+14)-3= 76-3= 73

The Mean square are equal to the estimation of the variance of errors, you can calculate them using the following formula:

MS_{Errors}= S^2_e= \frac{(n_1-1)S^2_1+(n_2-1)S^2_2+(n_3-1)S^2_3}{n_1+n_2+n_3-k}= \frac{(30*2.56^2)+(30*3.67^2)+(13*2.76^2)}{31+31+14-3} = \frac{695.3118}{73}= 9.52

<u>Now you can calculate the test statistic</u>

F_{H_0}= \frac{MS_{Tr}}{MS_{Error}} = \frac{5.33}{9.52}= 0.559= 0.56

The rejection region for this test is <em>always </em>one-tailed to the right, meaning that you'll reject the null hypothesis to big values of the statistic:

F_{k-1;N-k;1-\alpha }= F_{2; 73; 0.99}= 4.07

If F_{H_0} ≥ 4.07, reject the null hypothesis.

If F_{H_0} < 4.07, do not reject the null hypothesis.

Since the calculated value is less than the critical value, the decision is to not reject the null hypothesis.

Then at a 1% significance level you can conclude that the average highway mileage is the same for the three types of vehicles (mid size, SUV and pickup trucks)

I hope this helps!

4 0
1 year ago
A sunglassez store bought $5000 worth of sunglasses. The store made $9000, making a profit $20 per pair of sunglasses. There wer
julia-pushkina [17]
200 because 5000/200 is 25 and add the profit to that to get 45. 9000/200 is 45. Sorry if that doesn't make sense :/
3 0
2 years ago
Your class is learning to tie knots. Each student needs a piece of rope that is 38 yard long. How many yards of rope are needed
djyliett [7]
38 yard piece for each student and there are 16 students:

38*16=608

608 yards needed for your class
6 0
2 years ago
Read 2 more answers
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