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katovenus [111]
3 years ago
15

7(x+4) for x=5please answer asapdon't answer if you absulutly don't know

Mathematics
1 answer:
Nikolay [14]3 years ago
3 0
So plug in the 5 for x. it would look like 7(5+4). you do PEMDAS and then looks like 7(9) and 7 multiplied by 9 equals 63.
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A high speed train travels a distance of 503 km in 3 hours.
Marta_Voda [28]

Step-by-step explanation:

it's is 2.8 km if we round to one decimal place

4 0
3 years ago
Both the football and volleyball teams have games today. The football team plays every 7 days. The volleyball team plays every 3
Allisa [31]
They will have games on the same day in 21 days
6 0
3 years ago
3/4x + 6 = 15 what is x
Maslowich
<span>(3/4)*x-6 = 15 // - 15

(3/4)*x-15-6 = 0

3/4*x-21 = 0 // + 21

3/4*x = 21 // : 3/4

x = 21/3/4

x = 28</span>
5 0
3 years ago
Read 2 more answers
A crossover trial is a type of experiment used to compare two drugs. Subjects take one drug for a period of time and then switch
zysi [14]

Answer:

t=\frac{\bar d -0}{\frac{s_d}{\sqrt{n}}}=\frac{-0.714 -0}{\frac{1.38}{\sqrt{7}}}=-1.369

df=n-1=7-1=6

p_v =2*P(t_{(6)}

We see that the p value is higher than the ususal significance levels commonly used of 1% or 5% so then we can conclude that we FAIL to reject the null hypothesis, and there is not enough evidence to conclude that we have a different response between the two drugs

Step-by-step explanation:

We have the following info given by the problem

Subject  1 2 3 4 5 6 7

Drug A  6 3 4 5 7 1 4

Drug B  5 1 5 5 5 2 2

x=value for drug A , y = value for drug B

x: 6 3 4 5 7 1 4  

y: 5 1 5 5 5 2 2

We want to verify if the mean response differs between the two drugs then  the system of hypothesis for this case are:

Null hypothesis: \mu_y- \mu_x = 0

Alternative hypothesis: \mu_y -\mu_x \neq 0

We can begin calculating the difference d_i=y_i-x_i and we obtain this:

d: -1, -2, 1, 0, -2, 1, -2

Now we can calculate the mean difference  

\bar d= \frac{\sum_{i=1}^n d_i}{n}=-0.714

Now we can find the the standard deviation for the differences, and we got:

s_d =\sqrt{\frac{\sum_{i=1}^n (d_i -\bar d)^2}{n-1}}=1.38

And now we can calculate the statistic given by :

t=\frac{\bar d -0}{\frac{s_d}{\sqrt{n}}}=\frac{-0.714 -0}{\frac{1.38}{\sqrt{7}}}=-1.369

Now we can find the degrees of freedom given by:

df=n-1=7-1=6

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

p_v =2*P(t_{(6)}

We see that the p value is higher than the ususal significance levels commonly used of 1% or 5% so then we can conclude that we FAIL to reject the null hypothesis, and there is not enough evidence to conclude that we have a different response between the two drugs

7 0
3 years ago
Complete the comparison: 26 &lt; ? A. 25 B. 54 C. 13 D. 26
Nookie1986 [14]
The answer for that one is B, because 26<54
meaning 26 is less than 54 which is true 
6 0
3 years ago
Read 2 more answers
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