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In R.Which of the following statements is incorrect?a.pnorm(0, 0, 1) returns 0.5 which is the area under the lowerhalf tail of a standard normal.b.qnorm(.95, 0, 1) ...

Question

In R.Which of the following statements is incorrect?a.pnorm(0, 0, 1) returns 0.5 which is the area under the lowerhalf tail of a standard normal.b.qnorm(.95, 0, 1) returns the 0.95 quantile of a standardnormal.c.dnorm(2, 0, 1) returns the probability that a standard normalrandom variable equals 2.d.rnorm(10, 0, 1) returns 10 values sampled from a standard normaldistribution.

In R. Which of the following statements is incorrect? a. pnorm(0, 0, 1) returns 0.5 which is the area under the lower half tail of a standard normal. b. qnorm(.95, 0, 1) returns the 0.95 quantile of a standard normal. c. dnorm(2, 0, 1) returns the probability that a standard normal random variable equals 2. d. rnorm(10, 0, 1) returns 10 values sampled from a standard normal distribution.



Answers

Which of the following is a true statement? (A) The area under a normal curve is always equal to $1, n o$ matter what the mean and standard deviation are. (B) All bell-shaped curves are normal distributions for some choice of $\mu$ and $\sigma$. (C) The smaller the standard deviation of a normal curve, the lower and more spread out the graph. (D) Depending upon the value of the standard deviation, normal curves with different means may be centered around the same number. (E) Depending upon the value of the standard deviation, the mean and median of a particular normal distribution may be different.

In this problem, we are asked which of the following is an incorrect statement. So let's just go through each option, starting with a live in his grams. Relative areas correspond relative frequencies. And that's true because history grams give information about relative frequencies or relative various correspondent relative frequencies. And Mary may not have an access with actual frequencies, so we know that that is true. And then statement be in history. Grams frequencies can be determined from relative heights. Mhm, and that is not true. Um, systematic history rooms can have any number of peaks. Yeah, and so he is not true, because frequencies can cannot be determined from relative heights. It depends on your scale. You have to look at everything like that and then see systematic history. Grams may have multiple peaks, and that is true because they can have any number of peaks. And then D two students working with the same set of data may come up with history. Grams look different, and that's true because your choice of with a number of classes changes the appearance of a hissed a gram and then e displaying out buyers may be more problematic when using hissed a grams than when using stem plots. And that is also true because stem plots clearly show outliers. But in his programs, outliers may be hidden in large class with. So if you have a really large in size, um, say like, 50 to 100 all of your data is concentrated between 50 and 60 but you have one at 95 that's gonna get lost, even though that is an outlier. So in this case, our answer is B B is the incorrect statement.


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