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Answer:

p-value: 0.0367
Decision: Reject H₀
Step-by-step explanation:
Hello!
Hypothesis to test:
H₀:ρ₁-ρ₂=0
H₁:ρ₁-ρ₂>0
The statistic to use to test the difference between two population proportions is the approximation of Z
Z=<u> (^ρ₁-^ρ₂)-(ρ₁-ρ₂) </u> ≈N(0;1)
√ (<u>^ρ₁(1-^ρ₁))/n₁)+(^ρ₂(1-^ρ₂)/n₂))</u>
Z=<u> (0.28-0.15)-0 </u>= 1.79
√ (<u>0.28(1-0.28)/200)+(0.15(1-0.15)/300)</u>
p-value
Remember: The p-value is defined as the probability corresponding to the calculated statistic if possible under the null hypothesis (i.e. the probability of obtaining a value as extreme as the value of the statistic under the null hypothesis).
P(Z>1.79)= 0.0367
Conclusion:
Comparing the p-value against the significance level, you can decide to reject the null hypothesis.
I hope you have a SUPER day!
Answer:
29.27% probability that it takes Ariana between 58 and 70 seconds to do a math problem
Step-by-step explanation:
An uniform probability is a case of probability in which each outcome is equally as likely.
For this situation, we have a lower limit of the distribution that we call a and an upper limit that we call b.
The probability that we find a value X between c and d, d being greater than c, is given by the following formula:

Uniformly distributed between 38 seconds and 79 seconds.
This means that 
What is the probability that it takes Ariana between 58 and 70 seconds to do a math problem


29.27% probability that it takes Ariana between 58 and 70 seconds to do a math problem
Answer:
hope it helps
Step-by-step explanation:
angle < EDG = 90°
5x + 4x = 90
9x = 90
x = 90/9
x = 10°
which means
5x = 50°
4x = 40°
---------------------------
sice EF and DG are parallel lines
EHD = 40°
DHG is 90°
then HGD = 50°
-----------------------------------------
ED = 64 x2 (2 sides) = 128 inches
DG = 84 x2 (2 sides) = 168 inches
total perimeter = 128 + 168 = 296 inches
and yes. theres enough room for all 3 to cuddle
Answer:
The 96% confidence interval for the population proportion of customers satisfied with their new computer is (0.77, 0.83).
Step-by-step explanation:
We have to calculate a 96% confidence interval for the proportion.
We consider the sample size to be the customers that responded the survey (n=800), as we can not assume the answer for the ones that did not answer.
The sample proportion is p=0.8.

The standard error of the proportion is:

The critical z-value for a 96% confidence interval is z=2.054.
The margin of error (MOE) can be calculated as:

Then, the lower and upper bounds of the confidence interval are:

The 96% confidence interval for the population proportion is (0.77, 0.83).