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ira [324]
3 years ago
8

What type of

Mathematics
1 answer:
ololo11 [35]3 years ago
4 0

undefined

because zero slope is side ways  

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If a book is $25.95, and the tax is 5.25%, how much is the book plus tax?
IgorC [24]
Your answer is 27.31 because u multiply 25.95 by 5.25 then divide it by 100 then add 25.95 to it

3 0
4 years ago
Fraction : Mary bought 3 3/4 m of lace. She used 1 1/6 m of lace for her new dress. How much lace is left with her? I need state
Amanda [17]

Answer:

2 7/12.

Step-by-step explanation:

Subtracting:

3 3/4 - 1 1/6

Bring together the whole numbers and the fractions:

= 3 - 1 + 3/4 - 1/6       The LCD of 4 and 6 is 12 so we have:

3 - 1 + 9/12 - 2/12

= 2 + 7/12

= 2 7/12.

5 0
3 years ago
PLEASE HELP ILL MARK BRAINLIEST
lorasvet [3.4K]

Answer:

2 hours = 1,100

6 hours = 3,300

Step-by-step explanation:

divide 1,650 by 3 hours and get 550 as the average miles traveled per hour

times 550 by the hours desired and get you answer

hope this helps!!

3 0
3 years ago
Someone please help<br>Domain:<br>Range:<br>Function (yes/no)​
Schach [20]

Step-by-step explanation:

domain is the x value

range is the y values

function is when the 2 points are not on the same like for graphs and x does not repeat on table

3 0
3 years ago
The estimator Yis a random variable that varies with different random samples; it has a probability distribution function that r
rjkz [21]

Answer:

Check Explanation

Step-by-step explanation:

According to the Central limit theorem, the population mean (μ) is approximately equal to the mean of sampling distribution (μₓ).

And the standard deviation of the sampling distribution (σₓ) is related to the population standard deviation (σ) through

Standard deviation of the sampling distribution = (Population standard deviation)/(√N)

where N = Sample size

σₓ = (σ/√N)

So, population mean (μ) = Mean of sampling distribution (μₓ)

Population Standard deviation = (Standard deviation of the sampling distribution) × √N

= σ × √N

A) The expected value of a given distribution is simply equal to the mean of that distribution.

Hence, the expected value of random variable Y thay varies with different samples is given as

E(Y) = Mean of sampling distribution = μₓ

But μₓ = μ

Hence, E(Y) = μ (Proved)

B) Var (Y) is given as the square of the random distribution's standard deviation.

Var (Y) = (standard deviation of the sampling distribution)²

= (σ/√N)²

= (σ²/N) (Proved)

Hope this Helps!!!

4 0
3 years ago
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