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3 years ago

Please help! Only if you know!

Mathematics

2 answers:

Sphinxa [80]3 years ago

4 0

Answer:

Acute Scalene

Step-by-step explanation:

mr Goodwill [35]3 years ago

3 0

Yellow or red!!! hope this helps :)

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Thank you please show work if you can<3!!!!! <br> x=<br> y=

otez555 [7]

4 + 2x - 7 = 12

2x - 7 + 4 = 12

2x -3 = 12

2x = 15

x = 7.5

2x - 7 = 7.5 - 7 = 0.5

PLS MARK BRAINLIEST

3 0

3 years ago

Samantha Ran 10x-9 Miles and Sam ran 9x-10 miles WHATS the difference

Vanyuwa [196]

Answer:

10x-9-(9x-10)

=10x-9-9x+10

=10x-9x+10-9

=x+1

4 0

2 years ago

Read 2 more answers

Suppose Brianna decided that the error margin of her 95% confidence interval was too large and wanted an error margin of .05 whi

svetoff [14.1K]

Answer:

$n=\frac{0.26 (1-0.26)}{(\frac{0.05}{1.96})^2} =295.65 \approx =296$ (b)

Rounded up would be n =296

Step-by-step explanation:

Assuming this previous info: She randomly interested in the p selects 100 engineering majors, and 26 of them said they earned an A in Calc 1.

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 population proportion have the following distribution

$p \sim N(p,\sqrt{\frac{\hat p(1-\hat p)}{n}})$

The margin of error for the proportion interval is given by this formula:

$ME=z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}$ (a)

If solve n from equation (a) we got:

$n=\frac{\hat p (1-\hat p)}{(\frac{ME}{z})^2}$ (b)

In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 95% of confidence, our significance level would be given by $\alpha=1-0.95=0.05$ and $\alpha/2 =0.025$ . And the critical value would be given by: