Normal Distribution Examples
rialsv 2022-09-08Assume normal distributions in the following exercises. Find the value of z. An estimated 15%of the scores are to the right of z.
mashingcho9v 2022-09-08What questions can you answer by using statistics and normal distributions?
Kiana Arias 2022-09-04On Halloween, 10 identical apples are distributed to 7 children. a. How many distributions are possible? b. How many distributions are possible if each child is to receive at least 1 apple?
Maya Maged2022-08-25A, B are two non zeros vectors and ||A+b||=||A-B||, then......
A, B are two non zeros vectors and ||A+b||=||A-B||, then......
A man has 20 skirts, 7 pairs of pants and 4 pairs of shoes. How many different outfits, consisting of one skirt, one pair of pants and one pair of shoes are possible?
A man has 20 skirts, 7 pairs of pants and 4 pairs of shoes. How many different outfits, consisting of one skirt, one pair of pants and one pair of shoes are possible?
An article reported that, in a study of a particular wafer inspection process, 356 dies were examined by an inspection probe and 239 of these passed the probe. Assuming a stable process, calculate a 95% (two-sided) confidence interval for the proportion of all dies that pass the probe. (Round your answers to three decimal places.)
An article reported that, in a study of a particular wafer inspection process, 356 dies were examined by an inspection probe and 239 of these passed the probe. Assuming a stable process, calculate a 95% (two-sided) confidence interval for the proportion of all dies that pass the probe. (Round your answers to three decimal places.)
Grecemydelina 2022-04-23
A set of data consists of 150 observations. How many classes will you recommend?
A set of data consists of 150 observations. How many classes will you recommend?
A binomial probability experiment is conducted with the given parameter. Complete the probability of x successes in the n independent trials of the experiment. N=11, p=0.5, x=<4
A binomial probability experiment is conducted with the given parameter. Complete the probability of x successes in the n independent trials of the experiment. N=11, p=0.5, x=<4
mondidomarilyn31 2022-04-19s= 2.36 n= 350 confidence level 99%
s= 2.36 n= 350 confidence level 99%
ka073104 2022-04-11A simple random sample of n measurements from a population is a subset of the population selected in a manner such that which of the following is/are true?
A simple random sample of n measurements from a population is a subset of the population selected in a manner such that which of the following is/are true?
txkirn2 2022-04-03I am testing out a Binomial distributed dataset in excel.
The dataset is litterally a "RANDBETWEEN(1;2)" So it simply randomizes between the number 1 and the number 2 with 50% chance of each, on a range of 10.000 cells.
The standard deviation for 10.000 = n and a probability of success of 50% = p
I get a Std Dev of: 50
What I don't understand is why the spread of the dataset is way larger than 50. often times it is even more than 200 (as opposed to the Std Dev of 50). Actually by continually refreshing all the 10.000 cells, the spread is surprisingly often above 150, (3x standard deviations). Just about every 1/3 times I refresh the data is goes above 150 spread.
By my understanding, a bigger spread than 3x Standard Deviation should occur very rarely (0,03% of the time) every 333rd time of refreshing the data in excel. Or am I wrong here?
I am testing out a Binomial distributed dataset in excel.
The dataset is litterally a "RANDBETWEEN(1;2)" So it simply randomizes between the number 1 and the number 2 with 50% chance of each, on a range of 10.000 cells.
The standard deviation for 10.000 = n and a probability of success of 50% = p
I get a Std Dev of: 50
What I don't understand is why the spread of the dataset is way larger than 50. often times it is even more than 200 (as opposed to the Std Dev of 50). Actually by continually refreshing all the 10.000 cells, the spread is surprisingly often above 150, (3x standard deviations). Just about every 1/3 times I refresh the data is goes above 150 spread.
By my understanding, a bigger spread than 3x Standard Deviation should occur very rarely (0,03% of the time) every 333rd time of refreshing the data in excel. Or am I wrong here?
DaniecIf sample size of 100 are selected from a population with a mean of 28 and a standard deviation of 18,what is the standard error of the mean
DaniecIf sample size of 100 are selected from a population with a mean of 28 and a standard deviation of 18,what is the standard error of the mean
Alanna Williamson2022-03-25if you choose a student at random are the events 10th grade and eats regularly in the cafeteria independent explain how you know
if you choose a student at random are the events 10th grade and eats regularly in the cafeteria independent explain how you know
Assume that females have pulse rates that are normally distributed with a mean of
μ=74.0
beats per minute and a standard deviation of
σ=12.5
beats per minute. Complete parts (a) through (c) below.
Question content area bottom
Part 1
a. If 1 adult female is randomly selected, find the probability that her pulse rate is between
68
beats per minute and
80
beats per minute.
The probability is
enter your response here.
(Round to four decimal places as needed.)
Part 2
b. If
16
adult females are randomly selected, find the probability that they have pulse rates with a mean between
68
beats per minute and
80
beats per minute.
The probability is
enter your response here.
(Round to four decimal places as needed.)
Part 3
c. Why can the normal distribution be used in part (b), even though the sample size does not exceed 30?
A.
Since the mean pulse rate exceeds 30, the distribution of sample means is a normal distribution for any sample size.
B.
Since the distribution is of individuals, not sample means, the distribution is a normal distribution for any sample size.
C.
Since the distribution is of sample means, not individuals, the distribution is a normal distribution for any sample size.
D.
Since the original population has a normal distribution, the distribution of sample means is a normal distribution for any sample size.
Assume that females have pulse rates that are normally distributed with a mean of
μ=74.0
beats per minute and a standard deviation of
σ=12.5
beats per minute. Complete parts (a) through (c) below.
Question content area bottom
Part 1
a. If 1 adult female is randomly selected, find the probability that her pulse rate is between
68
beats per minute and
80
beats per minute.
The probability is
enter your response here.
(Round to four decimal places as needed.)
Part 2
b. If
16
adult females are randomly selected, find the probability that they have pulse rates with a mean between
68
beats per minute and
80
beats per minute.
The probability is
enter your response here.
(Round to four decimal places as needed.)
Part 3
c. Why can the normal distribution be used in part (b), even though the sample size does not exceed 30?
A.
Since the mean pulse rate exceeds 30, the distribution of sample means is a normal distribution for any sample size.
B.
Since the distribution is of individuals, not sample means, the distribution is a normal distribution for any sample size.
C.
Since the distribution is of sample means, not individuals, the distribution is a normal distribution for any sample size.
D.
Since the original population has a normal distribution, the distribution of sample means is a normal distribution for any sample size.
