Normal Distribution Examples

Recent questions in Normal distributions
Kobe Dixon 2023-04-01

Read carefully and choose only one option A statistic is an unbiased estimator of a parameter when (a) the statistic is calculated from a random sample. (b) in a single sample, the value of the statistic is equal to the value of the parameter. (c) in many samples, the values of the statistic are very close to the value of the parameter. (d) in many samples, the values of the statistic are centered at the value of the parameter. (e) in many samples, the distribution of the statistic has a shape that is approximately Normal

verfugtg5e 2023-02-08

The first 15 digits of pi are as follows: 3.14159265358979The frequency distribution table for the digits is as follows:$\begin{array}{|cc|}\hline DIGIT& FREQUENCY\\ 1& 2\\ 2& 1\\ 3& 2\\ 4& 1\\ 5& 3\\ 6& 1\\ 7& 1\\ 8& 1\\ 9& 3\\ \hline\end{array}$Which two digits appear for 3 times each?A) 1, 7B) 2, 6C) 5, 9<br<D) 3, 8

Brenda Leach 2022-12-01

Which among the following is not a fundamental force of nature? Gravitational ForceElectromagnetic ForceBuoyant ForceWeak Nuclear Force

Scott Valenzuela 2022-11-29

Еhere is a question that worries me: Why is it correct to say​ a normal distribution and​ the standard normal​ distribution?

Elisha Cancino2022-11-23

In general, when investigating a question of interest, you are not aware of the actual population statistic. However, by taking a simple random sample of an appropriate size, you can make inferences about the entire population. Also, the normal distributions are completely described by two statistics: the mean and the standard deviation. The standard deviation for a sampling distribution is given by $\sqrt{\frac{p\left(1-p\right)}{n}}$You used p = 0.20 and n = 100. To be more accurate, would you prefer to use n = 1000? Use the formula to evaluate standard deviations to support your answer.

akuzativo617 2022-11-04

How are z-scores found for normal distributions where $\mu \ne 0$ or $\sigma \ne 1$?

Bruce Sherman 2022-10-02

Find k for the following probability distributions: P(x) = k(x + 2) for x = 1, 2, 3

Austin Rangel 2022-09-29

Determine whether the given statement is true or false. All normal distributions have a mean of 0.

Heergerneuu 2022-09-26

Determine whether the following statement is true: When random samples of 50 men and 50 women are obtained and we want to test the claim that men and women have different mean annual incomes, there is no need to confirm that the samples are from populations with normal distributions.

hommequidort0h 2022-09-26

Suppose that, for two populations, the distributions of the variable under consideration have the same shape. Further suppose that you want to perform a hypothesis test based on independent random samples to compare the two population means. In each case, decide whether you would use the pooled t-test or the Mann-Whitney test and give a reason for your answer. You know that the distributions of the variable are a. normal. b. not normal.

videosfapaturqz 2022-09-25

The normal distribution is a good estimate for which of the binomial distributions. n=30, p=0.4

Medenovgj 2022-09-24

Explain why t distributions tend to be flatter and more spread out than the normal distribution.

zaviknuogg 2022-09-24

The normal distribution is a good estimate for which of the binomial distributions. n=40, p=0.9

Ilnaus5 2022-09-24

Assume normal distributions in the following exercises. Find the value of z. The probability that a score is between z and -z is 0.82.

Alexus Deleon 2022-09-21

Assume normal distributions in the following exercises. Find the value of z. An estimated 86% of the scores are to the left of z.

manudyent7 2022-09-17

Assume normal distributions in the following exercises. Find the value of z. The probability that a score is to the left of z is 0.96.

Konciljev56 2022-09-14