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3 years ago

PLEASE HELP ASAP!! WILL MARK BRAINLIEST

Mathematics

2 answers:

KATRIN_1 [288]3 years ago

8 0

The slope is mx+b so find two points in the graph and use y-rise/x-run

kirill115 [55]3 years ago

6 0

The slope is mx+b so find two points in the graph and use y-

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Match the confidence level with the confidence interval for the population mean. type the correct letter in each box. equation e

Ainat [17]

Answer:

$\bar X \pm 1.96 \frac{\sigma}{\sqrt{n}}$

"=1-2*(1-NORM.DIST(1.96,0,1,TRUE))"

And we got 95%

$\bar X \pm 1.645 \frac{\sigma}{\sqrt{n}}$

"=1-2*(1-NORM.DIST(1.645,0,1,TRUE))"

And we got 90%

$\bar X \pm 2.575 \frac{\sigma}{\sqrt{n}}$

"=1-2*(1-NORM.DIST(2.575,0,1,TRUE))"

And we got 99%

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

Solution to the problem

The confidence interval for the mean is given by the following formula:

$\bar X \pm z_{\alpha/2}\frac{\sigma}{\sqrt{n}}$ (1)

For this case we have the following cases:

$\bar X \pm 1.96 \frac{\sigma}{\sqrt{n}}$

And for this case we can find the % of confidence with the following excel code:

"=1-2*(1-NORM.DIST(1.96,0,1,TRUE))"

And we got 95%

For the other case:

$\bar X \pm 1.645 \frac{\sigma}{\sqrt{n}}$

And for this case we can find the % of confidence with the following excel code:

"=1-2*(1-NORM.DIST(1.645,0,1,TRUE))"

And we got 90%

For the other case:

$\bar X \pm 2.575 \frac{\sigma}{\sqrt{n}}$

And for this case we can find the % of confidence with the following excel code:

"=1-2*(1-NORM.DIST(2.575,0,1,TRUE))"

And we got 99%

8 0

3 years ago

20 POINTS

strojnjashka [21]

The median of this box and whisker plot is 73

A box and whisker plot is defined as a graphical method of displaying variation in a set of data. In most cases, a histogram analysis provides a sufficient display, but a box and whisker plot can provide additional detail while allowing multiple sets of data to be displayed in the same graph. Box and whisker plots are very effective and easy to read, as they can summarize data from multiple sources and display the results in a single graph. Box and whisker plots allow for comparison of data from different categories for easier, more effective decision-making.

From the given data, following can be inferred