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Ksivusya [100]
3 years ago
6

Which of the these statements best describes the effect of replacing the graph of f(x) with the graph of f(x) + 4?

Mathematics
2 answers:
Komok [63]3 years ago
8 0

Answer:

A) The graph shifts 4 units up.

Step-by-step explanation:

It is written partially in <em>Slope-Intercept Form</em> [y = mx + b]. That 4 is your <em>y-intercept</em><em>,</em><em> </em>which means it is shifted upward; it is written as [0, 4], but at least you get the idea.

I am joyous to assist you anytime.

dmitriy555 [2]3 years ago
6 0

Answer:

A.) The graph shifts 4 units up.

Step-by-step explanation:

The graph shifts 4 units up best describes the effect of replacing the graph of f(x) with the graph of f(x) + 4.

( y = mx + b )

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Help Me pls its due today pls
skelet666 [1.2K]
The answer is 0 quarts.

Remember
1 gallon contains 64ounces
1 cup contains 8ounces
1 pint contains 16ounces

We know that 2 gallons (128oz total) are needed to fill the bucket.

First, Omar pours 64 ounces into the bucket so we have 128 - 64 = 64 ounces left to fill.

Second, Penny pours 8 cups which is the same as 64 ounces (8cups x 8 ounces = 64 ounces total) into the bucket.

Stop here and add up the water in the bucket.

The bucket has only 128 ounces capacity total which means Omar and Penny have filled up the bucket with 64 ounces each. 64 x 2 = 128 ounces

The bucket is full, Ronnie actually makes it overflow. So Sierra will pour 0 quarts of water into the bucket.
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3 years ago
Read 2 more answers
Find the volume of each solid figure
Naddik [55]
Your answer is 270 hope this helps
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3 years ago
In a study to add a new feature to a software program, the programmer introduced two categories, men and women, in the survey sh
Alenkinab [10]

The given study is observational study

To gauge how strongly two variables are related to one another, correlation coefficients are used.

A statistical indicator of the strength of the association between the relative movements of two variables is the correlation coefficient. The values are in the -1.0 to 1.0 range. There was a measurement error in the correlation if the estimated value was larger than 1.0 or lower than -1.0. Perfect negative correlation is shown by a correlation of -1.0, and perfect positive correlation is shown by a correlation of 1.0. A correlation of 0.0 indicates that there is no linear link between the two variables' movements. Finance and investing can benefit from the usage of correlation statistics.

To know more about statistic indicator

brainly.com/question/15074438

#SPJ4

5 0
2 years ago
Please solve for the value of 3
borishaifa [10]

Answer:

P = 45

Step-by-step explanation:

180 - 90 = 90

90 / 2 = 45

P = 45

<em>Hope this helps! Please let me know if you need more help or think my answer is incorrect. Brainliest would be MUCH appreciated. Have a wonderful day!</em>

4 0
2 years ago
Our environment is very sensitive to the amount of ozone in the upper atmosphere. The level of ozone normally found is 4.6 parts
kirill115 [55]

Answer:

z=\frac{4.5-4.6}{\frac{1.1}{\sqrt{860}}}=-2.666    

p_v =2*P(Z  

If we compare the p value and the significance level given \alpha=0.02 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the true mean is different from 4.6 at 2% of signficance.  

Step-by-step explanation:

Data given and notation  

\bar X=4.5 represent the sample mean

\sigma=1.1 represent the population standard deviation

n=860 sample size  

\mu_o =4.6 represent the value that we want to test

\alpha=0.02 represent the significance level for the hypothesis test.  

z would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the mean is equal or not to 4.6, the system of hypothesis would be:  

Null hypothesis:\mu = 4.6  

Alternative hypothesis:\mu \neq 4.6  

If we analyze the size for the sample is > 30 and we know the population deviation so is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:  

z=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}}  (1)  

z-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Calculate the statistic

We can replace in formula (1) the info given like this:  

z=\frac{4.5-4.6}{\frac{1.1}{\sqrt{860}}}=-2.666  

P-value

Since is a two sided test the p value would be:  

p_v =2*P(Z  

Conclusion  

If we compare the p value and the significance level given \alpha=0.02 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the true mean is different from 4.6 at 2% of signficance.  

5 0
3 years ago
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