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Oduvanchick [21]
3 years ago
15

A researcher is 95% confident that the interval from 5.2 hours to 7.8 hours captures u = the true mean amount of time

Mathematics
1 answer:
igor_vitrenko [27]3 years ago
8 0
<h3>Answer: Choice B</h3>

No, this is not a plausible value for the population mean, because 5 is not within the 95% confidence interval.

====================================================

Explanation:

The greek letter mu is the population mean. It has the symbol \mu which looks like the letter 'u' but with a tail at the front or left side.

The question is asking if mu = 5 is plausible if the researcher found the 95% confidence interval to be 5.2 < mu < 7.8

We see that 5 is <u>not</u> in that interval. It's a bit to the left of 5.2

Since mu = 5 is not in the interval, it's not a plausible value for the population mean.

Have we ruled it out with 100% confidence? No. Such a thing is not possible. There's always room for (slight) error. The researcher would need to do a census to be fully confident; however, such practices are very time consuming and expensive. This is the main reason why statistics is important to try to estimate the population with a sample.

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Answer:

-14x-9y=6

Step-by-step explanation:

We are given with two equations

first equation is  -7x-y=0

second equation is

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we find the result of subtracting two equation

subtract the second equation from the first, so

first equation - second equation, multiply second equation by -1  and then add it with first equation

-7x-y=0

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Now add both equations, we get

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3 years ago
What is the slope and y-intercept of y=2/3x+2 ?
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4 years ago
Why does the margin of error increase as the level of confidence​ increases? Choose the correct answer below. A. The margin of e
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Answer:

The margin of error increases as the level of confidence increases because the larger the expected proportion of intervals that will contain the​ parameter, the larger the margin error.

Step-by-step explanation:

Margin of Error is a statistical measure of random sampling error insurvey results.

Level of confidence reflects percentage range around sample mean, that can be expected to contain population actual parameter.

High level of confidence means larger range band of confidence interval, supposed to contain the population parameter. This further implies  high expected variation between sample statistic & actual parameter i.e Margin Error increases.

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3 years ago
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Answer:

32 lbs

Step-by-step explanation:

John weighs 104 lbs

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