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3 years ago

11

I need help thank you

1 answer:

Alik [6]3 years ago

7 0

2 is the quotient

-26

-24

8

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What is 9.48 divided by 0.79

AysviL [449]

The answer is 12, hope this helps

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Give the y-intercept of the function f(x)=x^3 + 5x^2 - 3x+3

stepladder [879]

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Y-intercept (0,-20)

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Please help, its urgent, due by tmw

mel-nik [20]

Answer:

Step-by-step explanation:

ab < a

since a is negative, when you divide by a, you must change the direction of the inequality.

b > 1

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If a random sample of size nequals=6 is taken from a population, what is required in order to say that the sampling distributio

goldenfox [79]

Answer:

$\bar X \sim N(\mu , \frac{\sigma}{\sqrt{n}})$

In order to satisfy this distribution we need that each observation on this case comes from a normal distribution, because since the sample size is not large enough we can't apply the central limit theorem.

Step-by-step explanation:

For this case we have that the sample size is n =6

The sample man is defined as :

$\bar X = \frac{\sum_{i=1}^n X_i}{n}$

And we want a normal distribution for the sample mean

$\bar X \sim N(\mu , \frac{\sigma}{\sqrt{n}})$

In order to satisfy this distribution we need that each observation on this case comes from a normal distribution, because since the sample size is not large enough we can't apply the central limit theorem.

So for this case we need to satisfy the following condition:

$X_i \sim N(\mu , \sigma), i=1,2,...,n$

Because if we find the parameters we got:

$E(\bar X) =\frac{1}{n} \sum_{i=1}^n E(X_i) = \frac{n\mu}{n}=\mu$

$Var(\bar X)= \frac{1}{n^2} \sum_{i=1}^n Var(X_i) = \frac{n\sigma^2}{n^2}= \frac{\sigma^2}{n}$

And the deviation would be:

$Sd (\bar X) = \frac{\sigma}{\sqrt{n}}$

And we satisfy the condition:

$\bar X \sim N(\mu , \frac{\sigma}{\sqrt{n}})$

3 0

3 years ago

In hear how do you see how many points do i have?

ankoles [38]

Go to your profile and you should see it

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3 years ago

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