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lord [1]
4 years ago
13

(number one) im just like really confused

Mathematics
1 answer:
crimeas [40]4 years ago
3 0
Short answer:  P=0.25
Step One

Find the area of the shaded area
Area = L * W
L = 1.5 feeet
W = 1  foot

Area = 1.5 * 1 = 1.5 ft^2

Step Two
Find the total area
Total Area = L * W
L = 3 feet
W = 2

Area = 3 * 2 = 6 feet^2

Step Three
P = Shaded Area / Total Area
P = 1.5 / 6
P = 1/4

Discussion
This problem should make you a bit uncomfortable. I'm answering it exactly the way it is asked, but if you do hit the shaded area, does it count as a hit in the entire area as well? I would answer the way it is asked, but it is something to look out for in the future.
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Write each decimal as a fraction or mixed number in simplest form. 2.75=?
Mamont248 [21]
2.75 as a mixed number would be:

2 \frac{3}{4}
4 0
3 years ago
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A doctor released the results of clinical trials for a vaccine to prevent a particular disease. In these clinical​ trials, 200,0
CaHeK987 [17]

Answer:

1) No, there is  not  enough evidence to support the claim that the vaccine was effective (P-value=0.104) .

The null and alternative hypothesis are:

H_0: \pi_1-\pi_2=0\\\\H_a:\pi_1-\pi_2< 0

being the subindex 1 for the experimental group and subindex 2 for the control group.

2) Test statistic z=-1.26

Step-by-step explanation:

This is a hypothesis test for the difference between proportions.

The claim is that the vaccine was effective.

Then, the null and alternative hypothesis are:

H_0: \pi_1-\pi_2=0\\\\H_a:\pi_1-\pi_2< 0

The significance level is 0.01.

The sample 1 (experimental group), of size n1=100000 has a proportion of p1=0.0002.

p_1=X_1/n_1=21/100000=0.0002

The sample 2 (control group), of size n2=100000 has a proportion of p2=0.0003.

p_2=X_2/n_2=30/100000=0.0003

The difference between proportions is (p1-p2)=-0.0001.

p_d=p_1-p_2=0.0002-0.0003=-0.0001

The pooled proportion, needed to calculate the standard error, is:

p=\dfrac{X_1+X_2}{n_1+n_2}=\dfrac{21+30}{100000+100000}=\dfrac{51}{200000}=0.00026

The estimated standard error of the difference between means is computed using the formula:

s_{p1-p2}=\sqrt{\dfrac{p(1-p)}{n_1}+\dfrac{p(1-p)}{n_2}}=\sqrt{\dfrac{0.00026*0.99974}{100000}+\dfrac{0.00026*0.99974}{100000}}\\\\\\s_{p1-p2}=\sqrt{0+0.0000000025}=\sqrt{0.0000000051}=0.000071

Then, we can calculate the z-statistic as:

z=\dfrac{p_d-(\pi_1-\pi_2)}{s_{p1-p2}}=\dfrac{-0.00009-0}{0.000071}=\dfrac{-0.00009}{0.000071}=-1.26

This test is a left-tailed test, so the P-value for this test is calculated as (using a z-table):

P-value=P(z

As the P-value (0.104) is bigger than the significance level (0.01), the effect is not significant.

The null hypothesis failed to be rejected.

There is  not  enough evidence to support the claim that the vaccine was effective.

6 0
3 years ago
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frez [133]
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-5 &lt; x - 4 greater than it equal 1
saul85 [17]

We have expression -5 < x - 4 \geq 1 that renders the system of inequalities,

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x\in(\infty,-1)\cap(\infty, 5]=\boxed{(\infty,5]}.

Hope this helps.

6 0
3 years ago
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