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Olegator [25]
3 years ago
14

Given that (6,-8) is on graph f(x), find the corresponding point for the function f(-1/2x)

Mathematics
1 answer:
ValentinkaMS [17]3 years ago
8 0
Set the argument -1/2x equal to the x coordinate of the given point 6. Solve for x

-1/2x = 6
x = 6(-2)
x = -12

So x = -12 makes the equation -1/2x = 6 true. 

If we plug x = -12 into f(-1/2x) we get f(6)

Since we know that (6,-8) is on the graph of f(x), we know that (-12,-8) is on the graph of f(-1/2x)

What happens is that there's a reflection over the y axis (due to the minus sign in -1/2x) and there's a horizontal stretch by a factor of 2. So the graph of f(-1/2x) appears to be wider than f(x).

In summary, the final answer is (-12,-8)
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joja [24]

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3 years ago
The area of a rectangle is 144cm squared.if the length is 16cm. What's the perimeter?​
andreev551 [17]

Answer:

50

Step-by-step explanation:

rectangle area = 144 cm

Formula: A= L*H

The give the length which is 16

144 = 16*H

Since they gave u the area instead of the height, work backwards

144/16 = 16/16 *H

9 = H

Now you have the length and height

Length: 16

Height: 9

Perimeter is when you add up all the sides

The top and bottom of the rectangle is the length which is 16 so

16 + 16 = 32

The left and right side of the rectangle is the height which is 9 so

9 + 9 = 18

Now add then both

32 + 18 = 50

So the perimeter of the rectangle is 50

Hope this helped!

4 0
2 years ago
Write a division problem with as the dividend and 3 as the divisor. Then, find the quotient.
Mekhanik [1.2K]

Step-by-step explanation:

The dividend is the number which is being divided and the divisor is what you divided by. An example is:

12 ÷ 3. The quotient is 4.

4 0
3 years ago
Read 2 more answers
At Western University the historical mean of scholarship examination scores for freshman applications is 900. A historical popul
vampirchik [111]

Answer:

a) Null Hypothesis: \mu =900

Alternative hypothesis: \mu \neq 900

b) The 95% confidence interval would be given by (910.05;959.95)    

c) Since we confidence interval not ocntains the value of 900 we fail to reject the null hypothesis that the true mean is 900.

d) z=\frac{935 -900}{\frac{180}{\sqrt{200}}}=2.750

Since is a bilateral test the p value is given by:

p_v =2*P(Z>2.750)=0.0059

Step-by-step explanation:

a. State the hypotheses.

On this case we want to check the following system of hypothesis:

Null Hypothesis: \mu =900

Alternative hypothesis: \mu \neq 900

b. What is the 95% confidence interval estimate of the population mean examination  score if a sample of 200 applications provided a sample mean x¯¯¯= 935?

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

\bar X=935 represent the sample mean for the sample  

\mu population mean (variable of interest)

\sigma=180 represent the population standard deviation

n=200 represent the sample size  

The confidence interval for the mean is given by the following formula:

\bar X \pm z_{\alpha/2}\frac{\sigma}{\sqrt{n}}   (1)

In order to calculate the mean and the sample deviation we can use the following formulas:  

\bar X= \sum_{i=1}^n \frac{x_i}{n} (2)  

s=\sqrt{\frac{\sum_{i=1}^n (x_i-\bar X)}{n-1}} (3)  

The mean calculated for this case is \bar X=3278.222

The sample deviation calculated s=97.054

Since the Confidence is 0.95 or 95%, the value of \alpha=0.05 and \alpha/2 =0.025, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-NORM.INV(0.025,0,1)".And we see that z_{\alpha/2}=1.96

Now we have everything in order to replace into formula (1):

935-1.96\frac{180}{\sqrt{200}}=910.05    

935+1.96\frac{180}{\sqrt{200}}=959.95    

So on this case the 95% confidence interval would be given by (910.05;959.95)    

c. Use the confidence interval to conduct a hypothesis test. Using α= .05, what is your  conclusion?

Since we confidence interval not ocntains the value of 900 we fail to reject the null hypothesis that the true mean is 900.

d. What is the p-value?

The statistic is given by:

z=\frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

If we replace we got:

z=\frac{935 -900}{\frac{180}{\sqrt{200}}}=2.750

Since is a bilateral test the p value is given by:

p_v =2*P(Z>2.750)=0.0059

So then since the p value is less than the significance we can reject the null hypothesis at 5% of significance.

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Answer:

Step-by-step explanation:

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