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7nadin3 [17]
3 years ago
8

Direct variation or not a direct variation y=5/x

Mathematics
1 answer:
MrRissso [65]3 years ago
7 0

Answer:

not direct variation

Step-by-step explanation:

The equation for x and y in direct variation is

y = kx ← k is the constant of variation

y = \frac{5}{x} is not in this form, thus not direct variation.

The equation for x and y varying inversely is

y = \frac{k}{x} ← k is the constant of variation

y = \frac{5}{x} is in this form and represents inverse variation

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- Write each expression as a multiple of a power of 10:
Rufina [12.5K]

Answer:

To write the following expressions as a multiple of a power of 10 you need to take each of the numbers and raise them to the power of 10.

An easy way to do this is to find the decimal point and move it over one spot to the right.

a. 0.04- move the decimal one to the right and you get that 0.04^10=00.4.

b. 0.072-move the decimal to the right one spot you get 0.072^10=00.72.

c. 0.0000325-move your decical to get 0.0000325^10=00.000325.

d. 0.003-move the decimal to get 0.003^10=00.03 or three hundredths.

e. 0.23-move your decimal to get 0.23^10=2.3 or two and three tenths.

f. 0.729-move you decimal to the right to get 0.729^10=07.29 or seven and twenty-nine hundredths.

g. 0.000041- move your decimal to the right to get 0.000041^10=00.00041 or forty-one hundred thousandths.

Hope this helps ;)

5 0
2 years ago
Would the function ƒ(x) = 4 be considered a step function? Explain your reasoning.
lana66690 [7]

Hey there! I'm happy to help!

A step function is a function that looks like stairs when you graph it. Normally the end of one line will be graphed as an open circle (less or greater than, not equal to) while the other end would be a closed circle. This allows for a new line of the function to start directly above it without it not being a function (an input cannot have two outputs)

The function f(x)=4 is just a horizontal line as it has a slope of 0 (there is no x on the right side of the equation), so this doesn't resemble a step function.

Have a wonderful day and keep learning! :D

3 0
3 years ago
PLEASE HELP I WILL MARK BRAINLIST
hjlf

Answer:

the are would be 18

Step-by-step explanation:

bc 2x3=6 and then 4x3=12 so 12+6=18

4 0
3 years ago
Read 2 more answers
How to simplify 5k + 3 + 2j – 2 – k
jek_recluse [69]

Answer:

4k + 2j + 1

Step-by-step explanation:

5k + 3 + 2j – 2 – k =

5k - k + 2j + 3 - 2

4k + 2j + 1

8 0
3 years ago
Read 2 more answers
According to data released by FiveThirty Eight (data drawn on Monday, August 17th, 2020), Donald Trump wins an Electoral College
sineoko [7]

Answer:

a) P = 0.274925

b) required confidence interval = (0.2705589, 0.2793344)

c) FALSE

d) FALSE

e) TRUE

f) There is still probability that he would win. And it would be highly unusual if he wins assuming that the true population proportion is 0.274925.

Step-by-step explanation:

a)

PROBABILITY

since total number of simulations is 40,000 and and number of times Donald Trump wins an Electoral College majority in the 2020 US Presidential Election is  10,997

so the required Probability will be 10,997 divided by 40,000

P = 10997 / 40000 = 0.274925

b)

To get 95% confidence interval for the parameter in question a

(using R)

>prop.test(10997,40000)

OUTPUT

1 - Sample proportion test with continuity correction

data: 10997 out of 40000, null probability 0.5

x-squared = 8104.5, df = 1, p-value < 2.23-16

alternative hypothesis : true p ≠ 0.5

0.2705589  0.2793344

sample estimate

p

0.274925

∴ required confidence interval = (0.2705589, 0.2793344)

c)

FALSE

This is a wrong interpretation of a confidence interval. It indicates that there is 95% chance that the confidence interval you calculated contains the true proportion. This is because when you perform several times, 95% of those intervals would contain the true proportion but as the confidence intervals will vary so you can't say that the true proportion is in any interval with 95% probability.

d)

FALSE

Once again, this is a wrong interpretation of a confidence interval. The confidence interval tells us about the population parameter and not the sample statistic.

e)

TRUE

This is a correct interpretation of a confidence interval. It indicates that if we perform sampling with same sample size (40000) several times and calculate the 95% confidence interval of population proportion for each of them, then 95% of these confidence interval should contain the population parameter.

f)

The simulation results obtained doesn't always comply with the true population. Also, result of one simulation can't be taken for granted. We need several simulations to come to a conclusion. So, we can never ever guarantee based on a simulation result to say that Donald Trump 'Won't' or 'Shouldn't' win.

There is still probability that he would win. And it would be highly unusual if he wins assuming that the true population proportion is 0.274925.

5 0
3 years ago
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