1. https://fivethirtyeight.com/features/is-the-moon-to-blame/ 2. https://www.huf
ID: 3045597 • Letter: 1
Question
1. https://fivethirtyeight.com/features/is-the-moon-to-blame/ 2. https://www.huffingtonpost.com/muthi-nhlema/why-we-cant-ignore-the-ou_b_6161048.html 3. https://fivethirtyeight.com/features/dear-mona-how-often-do-people-arrive-late-to-appointments/ Question 1 pts Read the article "ls the Moon to Blame. Which of the following correctly defines confrmation bias? O The tendency to evaluste information in a way that serves oneself The tendency to weigh evidence that confirms our hypothesis more than contradictory evidence. O The tendency to treat past events as if they were predictable. DQuestion 2 1 pts Refer to the article on outliers. Which of the following seems like a likely range of z-scores for the amount of time it took Chrissy to fill her water can? (Hint: since the mean is 99 and the smallest possible value is O, we wouldn't expect the standard deviation to be much greater than 30.) O between-500 and-10 O between-10 and -3 O between -3 and 3 O between 3 and 10 O between 10 and 500 Question 3 1 pts Choose the best response to the following statement: "It is sound statistical practice to delete Chrissy's time to fill a jerry can from the data set. O Yes because her data point does not fit a normal distribution. O Yes because the data point is obviously wrong. O No because if the data point is deleted the sample size will be too small. O No because the data point is accurately measured and tells us the data are probably not normally distributed.Explanation / Answer
Please, kindly post 1 question per post. Here' the answer to the question:
1.
Her'e the answer to the passage:
" Maybe your friend is less likely to notice a full moon when she hasn’t treated many patients (and maybe she’s less likely to look for it and less likely to remember seeing it). As Margot explained over the phone, “we tend to ignore data points that don’t match our beliefs.”
This means option 2) is correct. Here' we are supporting hypothesis using confirming data points.
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