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Kipish [7]
3 years ago
7

Select the ordered pairs that are located 8 units away from the point (2.1). Plssss help

Mathematics
1 answer:
elena-14-01-66 [18.8K]3 years ago
7 0

The ordered pairs that are located 8 units away from the point (2, 1) are; (-6,1), (10,1), (2,-7) and (2,9)

<h3>Ordered pairs and Distance.</h3>

The ordered pairs which can be 8 units away from the point, (2, 1) are pairs in which case, either x or y coordinates or both are 8 units from the given pair of coordinates (2,1).

Hence, the following pair of coordinates have x or y coordinates which are 8 units away from the x or y coordinates of the given pair of coordinates.

  • (-6,1)
  • (10,1)
  • (2,-7)
  • (2,9)

Read more on coordinates;

brainly.com/question/3447129

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Julia enjoys shooting paper balls into the wastebasket across her office. She misses the first shot 50% of the time. When she mi
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Answer:

<u>The probability that Julia makes at least one successful throw is 90%</u>

Step-by-step explanation:

1. Let's review the information provided to us to help Julia to answer the question correctly:

Probability that Julia misses the first shot = 50%

Probability that Julia makes the first shot = 50%

When she misses on the first shot, she misses the second shot 20% of the time. Therefore after missing the first shot, she makes the second shot 80% of the time.

Probability that Julia misses both shots = 50% * 20% = 0.5 * 0.2 = 0.1 = 10%

2. What is the probability of making at least one successful throw?

Probability of making at least one successful throw = 1 - (Probability that Julia misses both shots)

Probability of making at least one successful throw = 100% - 10%

<u>The probability that Julia makes at least one successful throw is 90%</u>

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My brother wants to estimate the proportion of Canadians who own their house.What sample size should be obtained if he wants the
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Answer:

a) n=\frac{0.675(1-0.675)}{(\frac{0.02}{1.64})^2}=1475.07

And rounded up we have that n=1476

b) n=\frac{0.5(1-0.5)}{(\frac{0.02}{1.64})^2}=1681

And rounded up we have that n=1681

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".

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)  

Part a

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 90% of confidence, our significance level would be given by \alpha=1-0.9=0.1 and \alpha/2 =0.05. And the critical value would be given by:  

z_{\alpha/2}=\pm 1.64  

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)  

And on this case we have that ME =\pm 0.02 and we are interested in order to find the value of n, if we solve n from equation (a) we got:  

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

And replacing into equation (b) the values from part a we got:

n=\frac{0.675(1-0.675)}{(\frac{0.02}{1.64})^2}=1475.07

And rounded up we have that n=1476

Part b

For this case since we don't have a prior estimate we can use \hat p =0.5

n=\frac{0.5(1-0.5)}{(\frac{0.02}{1.64})^2}=1681

And rounded up we have that n=1681

8 0
3 years ago
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