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Alisiya [41]
3 years ago
14

If a 16 in. by 24 in. window has a wooden frame 3 inches wide surrounding it, what is the total area of the window and frame?

Mathematics
2 answers:
Arturiano [62]3 years ago
7 0
16 + 3 = 19
24 + 3 = 27

19 * 27 = 513

Answer: 513 in squared

Hope this helped!
emmainna [20.7K]3 years ago
5 0

Answer:

The CORRECT answer is 660 sq inches

Step-by-step explanation:

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7.5 hours total divided by .5 hours per arrangement would be 15 arrangements.
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4 years ago
Pls help will give brainliest!!
klio [65]

25 × 4 = 100 - the number of all candies

2/5 of 100 is

\dfrac{2}{5}\cdot100=\dfrac{200}{5}=40

The third model is shaded to show the total number of caramel candies in 4 bags.

6 0
3 years ago
Find what w equals<br><br> 4(3w+5)−2w=70
Luba_88 [7]
4(3w+5)-2w=70
10w+20=70
10w+20-20=70-20
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10w/10=50/10
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8 0
3 years ago
Read 2 more answers
How much do 1.5 pounds of Havarti cheese cost?
monitta

Answer:

g

Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
Professor wonders whether a student's homework average (X) could be used to predict their final grade in the course (Y) . She ca
Anna11 [10]

Answer:

The dependent variable is the final grade in the course and is the vriable of interest on this case.

H0: \beta_1 = 0

H1: \beta_1 \neq 0

And if we reject the null hypothesis we can conclude that we have a significant relationship between the two variables analyzed.

Step-by-step explanation:

On this case w ehave the following linear model:

Y= 21.839 +0.724 X

Where Y represent the final grade in the course and X the student's homework average. For this linear model the slope is given by \beta_1 = 0.724 and the intercept is \beta_0 = 21.839

Which is the dependent variable, and why?

The dependent variable is the final grade in the course and is the vriable of interest on this case.

Based on the material taught in this course, which of the following is the most appropriate alternative hypothesis to use for resolving this question?

Since we conduct a regression the hypothesis of interest are:

H0: \beta_1 = 0

H1: \beta_1 \neq 0

And if we reject the null hypothesis we can conclude that we have a significant relationship between the two variables analyzed.

3 0
3 years ago
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