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jeka57 [31]
3 years ago
10

Click photo for question

Mathematics
1 answer:
Lana71 [14]3 years ago
6 0

In a triangle when an angle between two equal length sides is 60 that means that the triangle is equilateral.
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A researcher wants to determine whether there is a relationship between age and the number of text messages sent in a given day.
Hatshy [7]

Answer:

ME= 2.58 \sqrt{\frac{0.8(1-0.8)}{125} +\frac{0.625 (1-0.625)}{120}}= 0.1465

The best option would be:

d. 0.1465

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".  

p_A represent the real population proportion for brand 18-25 users

\hat p_A =\frac{100}{125}=0.8 represent the estimated proportion for 18-25 users

n_A=125 is the sample size

p_B represent the real population proportion for 26-35 users

\hat p_B =\frac{75}{120}=0.625 represent the estimated proportion for 26-35 users

n_B=120 is the sample size required for Brand B

z represent the critical value for the margin of error  

The population proportion have the following distribution  

p \sim N(p,\sqrt{\frac{p(1-p)}{n}})  

Solution to the problem

The confidence interval for the difference of two proportions would be given by this formula  

(\hat p_A -\hat p_B) \pm z_{\alpha/2} \sqrt{\frac{\hat p_A(1-\hat p_A)}{n_A} +\frac{\hat p_B (1-\hat p_B)}{n_B}}  

For the 99% confidence interval the value of \alpha=1-0.99=0.01 and \alpha/2=0.005, with that value we can find the quantile required for the interval in the normal standard distribution.  

z_{\alpha/2}=2.58  

And the margin of error is given by:

ME= z_{\alpha/2} \sqrt{\frac{\hat p_A(1-\hat p_A)}{n_A} +\frac{\hat p_B (1-\hat p_B)}{n_B}}

And if we replace we got:

ME= 2.58 \sqrt{\frac{0.8(1-0.8)}{125} +\frac{0.625 (1-0.625)}{120}}= 0.1465

The best option would be:

d. 0.1465

8 0
3 years ago
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