Find P(X-bar > 15.5) n=81, Mean=15, SD=1
I need to find for every numeric variable in Iris data set mean and standard deviation by Species and draw that in ggplot2 graph with geom_col and geom_errorbar.This is what I got so farlibrary(tidyverse) data(Iris) iris %>% group_by(Species) %>% summarise_if(is.numeric, list(mean = mean, sd = sd)) -> IrisDataI tried to create a graph but I don't know how to use the geom_errorbarIrisData %>% select(Species, ends_with("mean")) %>% gather(key, val, 2:5) %>% ggplot(aes(key, val, fill = Species)) + geom_col()
The mean is 60 with an SD of 15. What is the probability of selecting at random a score that falls between 55 and 65?
IQ scores are normally distributed with a population mean of 100 and SD 15. If you select a sample of 25 individuals how high would the sample mean have to be to say that probability of getting a sample mean that high or higher is 0.05? Round your answer to whole number.
IQ is normally distributed with a mean of 100 and a standard deviation of 15. Suppose one individual is randomly chosen. Let X = IQ of an individual Find the probability that the person has an IQ greater than 115. Write the probability statement P(___) What is the probability? (Round your answer to four decimal places.)
3) Using the x distribution, find the following and draw the corresponding graph: (a)P(x2>Kn2)-0.05 when v-15. Find χα2. (b) Px) 0.95 when v 24. Find (c)P(2.558<x'<MA) = 0.94 when v=10. Find χα2. 4) For an F distribution, find the following and draw the corresponding graph: (a)fooi for n, 4 and n2 -9 (b)fo9s for n, 5 and n2 8 0.95 (c) P (F 6.16) with n, 6 and n2 4
15. (10 points) A. Draw a graph of the probability distribution function (PDF) for the uniform distribution that is defined to be non-zero and constant between 1 and 10. Label the x and y-axes for the graph. (3 points) B. On the same graph draw the cumulative distribution function (CDF) for the uniform distribution. Clearly identify each line (PDF or CDF) in the graph. (3 points) C. In words, express the mathematical relationship that exists between any CDF and the...
Let
.
a) Find P(X>43).
b) Find the probability that the mean of a sample of 16
observations is greater than 43?
Suppose that ? is normally distributed with mean 115 and standard deviation 15. A. What is the probability that ? is greater than 134.8? Probability = B. What value of ?X does only the top 14% exceed? ? =
. In a distribution with a mean of 100 and a standard deviation
of 15, what is the probability that a score will be 115 or higher?
Show all the steps of the calculation in Excel.
a. 16%
b. 34%
c. 50%
d. 84%
I know the answer is A., I know the porb of >1 is 1.5866, but
I dont know how to show this in excell, and im not really sure what
im doing with that extra yellow...