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3 years ago

HELP its due today Please help!!!!!!!!!!!

Mathematics

1 answer:

mojhsa [17]3 years ago

3 0

It’s C&D bc a single function can not have multiple of the same X values.

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Choose a method the find the product 16x60

Dahasolnce [82]

The product is 960 because 0x6=0,6×6=36 so 60 times 6 is 360 thenn you go to the bottom & bring down one zero under your first zero ,multiply 1 times the zero which equals 0 ofc & 6×1=6 so it'll be 360 + 600= 960

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3 years ago

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The figure shows a parallelogram inside a rectangle outline:

Tamiku [17]

B.1/6

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3 years ago

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So alr im stuck on this too

VARVARA [1.3K]

Answer:

1 is a transformation and 2 is a dialation

Step-by-step explanation:

1 is adding, therefore making it move, 2 is multiplying making it larger.

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3 years ago

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33. The standard deviation divided by the square root of the sample size n is equal to the _______________ of the mean. Sample e

kupik [55]

Answer:

Standard error

Step-by-step explanation:

Standard error: In statistics, the term standard error is also denoted as SE, and is reffered to as the estimate of a particular parameter.

It is defined as the standard deviation in statistics related to its sampling distribution or else the the standard deviation's estimate.

Therefore, if a particular parameter or statistic is considered as a mean then it would be denoted as the standard error of that mean.

The standard error of an estimate may also be defined as the square root of the estimated error variance √ $\sigma^{2}$ of the quantity,

$S_{e}$ =√ $\sigma^{2}$

In the given question, the appropriate answer would be standard error.

4 0

3 years ago

The range of the random variable X is {1, 10, 15, 20, 25, x} where x is unknown. The value x has probability 0.50 and each of th

marin [14]

Answer:

$22.1 = 1*0.1 +10*0.1 +15*0.1 + 20*0.1 +25*0.1 + x*0.5$

And we can solve for the value of x and we got:

$22.1 -[1*0.1 +10*0.1 +15*0.1 + 20*0.1 +25*0.1 ] = 0.5 x$

$15 = 0.5 x$

$x =30.0$

Step-by-step explanation:

For this case we have the following distribution:

X 1 10 15 20 25 x

P(X) 0.1 0.1 0.1 0.1 0.1 0.5

The expected value of a random variable X is the n-th moment about zero of a probability density function f(x) if X is continuous, or the weighted average for a discrete probability distribution, if X is discrete.

The variance of a random variable X represent the spread of the possible values of the variable. The variance of X is written as Var(X).

The expected value is given by:

$E(X) = \sum_{i=1}^n X_i P(X_i)$

And replacing we have this:

$22.1 = 1*0.1 +10*0.1 +15*0.1 + 20*0.1 +25*0.1 + x*0.5$

And we can solve for the value of x and we got:

$22.1 -[1*0.1 +10*0.1 +15*0.1 + 20*0.1 +25*0.1 ] = 0.5 x$

$15 = 0.5 x$

$x =30.0$

6 0

3 years ago