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cricket20 [7]
3 years ago
11

When constructing a confidence interval for a difference between two population proportions, why is it important to check that t

he number of successes and the number of failures in each sample is at least 10?.
Mathematics
1 answer:
Ierofanga [76]3 years ago
5 0

The reason why the number of failures and successes in two population proportions must be up to 10 is because it is important to have many of samples from both populations.

<h3>What is a Confidence Interval?
</h3>

This refers to the probability displayed that a parameter will exist between a pair of values around the mean.

It measures the extent to which one can be certain or uncertain about ones sampling method. Confidence Intervals are usually constructed using levels of 95% or 99%.


Learn more about confidence interval in the link below:
brainly.com/question/15712887

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Find the area of the triangle enclosed by these lines with the following vertices. y = x, x = 0, y = 5 (0,0), (0,5), (5,5)
Lina20 [59]
The are of the triangle will be 12.5 units.

On marking the given vertices (0,0), (0,5), (5,5) of the triangle we get, the base of the triangle = 5 units and height of the triangle = 5 units.

Now, we know area of triangle = \frac{Base * Height}{2} \\ \\ = \frac{5 *5}{2} \\ \\ = \frac{25}{2} \\ \\ = 12.5 units.
4 0
3 years ago
I NEED HELPPP PLEASEEEEEEE
brilliants [131]

Answer:

-4, 3

Step-by-step explanation:

you got's it :)

6 0
3 years ago
What is the line of best fit? Why do we want the sum of the residuals to be as close to zero as possible?
erma4kov [3.2K]

Answer:

Step-by-step explanation:

What sis line of best fit?

The line of best fit may be explained as a straight line which is drawn to pass through a set of plotted data point which gives the best and most approximate relationship between the data points. A line of best fit is required to give the best approximate value between the set of plotted data points such that it allows making inference on new data points while also ensuring the least possible deviation from the original data points.

Why do we want the sum of the residuals to be as close to zero as possible?

The line of best fit will be the line which gives the least value of residual error. The residual error is reffered to as the difference between the line drawn and the individual data point plotted. These errors are squared and summed together, the line which produces the least residual error is Considered as the leading ne of best fit for the data.

We want the sum of our residual error to be as close to zero as possible, this is to reduce the deviation between our original or plotted data and the modeled data produced by our line of best fit.

5 0
3 years ago
i have no money so can someone add me and be my math tutor plz i have trouble with ADHD and dont know that many multiplication f
Nataly [62]

Answer:

how do I add you?

Step-by-step explanation:

I'd like to help!

7 0
3 years ago
Read 2 more answers
Find the value of 10!/(10-3)!
atroni [7]
10!=3628800
10-3=7
7!=5040
3628800/5040=720
5 0
4 years ago
Read 2 more answers
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