How to solve your problem 3
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Combine multiplied terms into a single fraction 3
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Solution 3
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Answer: C) 108 degrees
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Explanation:
Angle 4 is an exterior angle which corresponds to the remote interior angles of 33 degrees and 75 degrees. Through the remote interior angle theorem, we can add the remote interior angles to get the exterior angle
So we simply add 33 and 75 to get 33+75 = 108
If you chose not to use this theorem, then you can find angle three by using the fact that all three angles of the triangle must add to 180 degrees. So,
33+75+(angle 3) = 180
108+(angle 3) = 180
108+(angle 3) - 108 = 180 - 108
angle 3 = 72 degrees
Then use the fact that angle 3 and angle 4 are supplementary
(angle 3) + (angle 4) = 180
72 + (angle 4) = 180
72 + (angle 4) - 72 = 180 - 72
angle 4 = 108 degrees
either way, we get the same answer
Answer:
i think that the answer is 7 units
Step-by-step explanation:
let me know if im wrong
Answer: Population has a standard deviation of 32. What is the standard error f the sampling distribution if the sample size is 100?
Step-by-step explanation: Here we are told that a population has a standard deviation of 32 and that we have a sample of size 100 from this population that are asked for the standard error of the sampling distribution. Now it would be important to know what statistic we are taking from these samples. Now we would need to know what what statistic we're taking from these samples. Um I'm assuming that we're talking about sample averages in this case the standard error is well, let's sample averages are just distributed like this. They are so we have anna's big, which means that our sample averages are going to be approximately normally distributed. The mean of the sample averages will be equal to the mean of the population, and the standard air of the sample averages will be equal to the population. Standard deviation divided by the square root of the sample size. So this is our standard error of the sampling distribution, And so this is equal to 3.2. So that is your answer. That is the standard error of the sampling distribution. When the sample size is 100 is 32 I hope that helped
