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morpeh [17]
3 years ago
6

I'LL GIVE BRAINLIEST A or D

Mathematics
1 answer:
Andreas93 [3]3 years ago
8 0

Answer:

D

Step-by-step explanation:

Think of what the egyptians built wayyyy back then (Hint: Pyramids)

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What is the definition of solution for math
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I don't understand the problem.
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3 years ago
Read 2 more answers
What is the perimeter of the figure
anastassius [24]

Answer:

Option A.

P=73.4\ units

Step-by-step explanation:

see the attached figure with letters to better understand the problem

In this problem we have a triangle with a circle inscribed in it

so

A.F=A.B\\C.B=C.D\\E.F=E.D

step 1

Find the length side B.C

C.B=A.C-A.B

substitute the given values

C.B=23-14=9\ units

step 2

Find the length side C.D

Remember that

C.D=C.B

therefore

C.D=9\ units

step 3

Find the length side E.D

we know that

E.D=E.C-C.D

substitute the given values

E.D=22.7-9=13.7\ units

step 4

Find the length side E.F

Remember that

E.F=E.D

therefore

E.F=13.7\ units

step 5

Find the length side A.F

Remember that

A.F=A.B

therefore

A.F=14\ units

step 6

Find the perimeter

P=23+22.7+13.7+14

P=73.4\ units

6 0
3 years ago
A new sales training program has been instituted at a rent-to-own company. Prior to the training, 10 employees were tested on th
Lunna [17]

Answer:

C. H0: µD = 0, HA: µD <0

Step-by-step explanation:

We assume that the paired sample data are simple random samples and that the differences have a distribution that is approximately normal. So for this case is better apply a paired t test.  

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 for pretest , y = test value for posttest  

x: 66, 94, 87, 84, 76, 88

y: 75, 100, 93, 85, 75, 90  

The system of hypothesis for this case are:  

Null hypothesis: \mu_D \geq 0  

Alternative hypothesis: \mu_D < 0  

Because the difference D is defined as Pretest-Postest. And we want to see if the postets score is higher than the pretest with th training.

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

d: -9, -6, -6, -1, 1, -2

The second step is calculate the mean difference  

\bar d= \frac{\sum_{i=1}^n d_i}{n}= \frac{-23}{6}=-3.833  

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} =3.763  

The 4 step is calculate the statistic given by :  

t=\frac{\bar d -0}{\frac{s_d}{\sqrt{n}}}=\frac{-3.833 -0}{\frac{3.763}{\sqrt{6}}}=-2.494  

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

df=n-1=6-1=5  

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

p_v =P(t_{(5)}  

The p value is lower than the significance level assumed \alpha=0.05, so then we can conclude that we can reject the null hypothesis. So we can say that the differences between Pretest and Posttest \mu_{pretest}-\mu_{postest} are less than 0.

3 0
3 years ago
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