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Ostrovityanka [42]
2 years ago
12

5) The graph of the parent linear function f(x) = x is shown in black on the coordinate grid. Write the function that represents

this function with the indicated parameter changes.
Slope (m) increased, y-intercept (b) unchanged.
Slope (m) decreased, y-intercept (b) unchanged.
Slope (m) unchanged, y-intercept (b) increased.
Slope (m) unchanged, y-intercept (b) decreased.
Mathematics
1 answer:
djyliett [7]2 years ago
8 0

Answer:

(m) increased, (b) unchanged.     g(x)

(m) decreased, (b) unchanged.   m(x)

(m) unchanged, (b) increased.      h(x)

(m) unchanged, (b) decreased.    n(x)

f(x): m = -1/2  b = 2

g(x): m = 1/3  b = -3

h(x): m = 2  b = 0

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Please help solve much appreciated
DIA [1.3K]

Step-by-step explanation:

For the Cuboid, the formula will be:

Width x Height x Length

For the cylinder the volume formula will be:

\pi \:  \times  \:  {radius}^{2}  \times  \: length

7 0
3 years ago
Can someone plz explain how to do this?​
marissa [1.9K]

Answer:

the answer is f.

Step-by-step explanation:

it is the only sensible answer. every 5 years it increases by ~40%.

6 0
3 years ago
Use the normal distribution and the given sample results to complete the test of the given hypotheses. Assume the results come f
AlladinOne [14]

Answer:

z=\frac{0.64 -0.5}{\sqrt{\frac{0.5(1-0.5)}{75}}}=2.43  

Now we can calculate the p value with the following probability:

p_v =P(z>2.43)=0.0075 \approx 0.008  

Since the p value is lower than the significance level we have enough evidence to reject the null hypothesis and we can conclude that the true proportion for this case is higher than 0.5

Step-by-step explanation:

Data given and notation

n=75 represent the random sample taken

\hat p=0.64 estimated proportion of interest

p_o=0.5 is the value that we want to test

\alpha=0.05 represent the significance level

Confidence=95% or 0.95

z would represent the statistic

p_v represent the p value

System of hypothesis

We want to verify if the true proportion is higher than 0.5:  

Null hypothesis:p =0.5  

Alternative hypothesis:p > 0.5  

The statistic is given by:

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

Replacing the info given we got:

z=\frac{0.64 -0.5}{\sqrt{\frac{0.5(1-0.5)}{75}}}=2.43  

Now we can calculate the p value with the following probability:

p_v =P(z>2.43)=0.0075 \approx 0.008  

Since the p value is lower than the significance level we have enough evidence to reject the null hypothesis and we can conclude that the true proportion for this case is higher than 0.5

7 0
4 years ago
PLEASE SOMEONE HELP MY SEMESTER IS ALMOST OVER
kompoz [17]

Answer:

the 2 one

Step-by-step explanation:

3 0
3 years ago
How do I start off these problems?
Marina CMI [18]
First of all you have to make them equal to each other. What I mean is the following
3x+20=2x+40
Then you should just solve for x
8 0
3 years ago
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