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Why should data be normally distributed in order to calculate probabilities using z score tables?
Wiki User
∙ 15y ago
whatis normal distribution
Wiki User
∙ 15y ago
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What should a well-constructed histogram reveal to you?
Whether or not the data are normally distributed and the Customer expectations.
In the discrete probability distribution what is the sum of all probabilities?
The sum should equal to 1.
Assumption of one-way analysis of variance?
The results of a one-way ANOVA can be considered reliable as long as the following as The results of a one-way ANOVA can be considered reliable as long as the following assumptions are met: * Response variable must be normally distributed (or approximately normally distributed). * Samples are independent. * Variances of populations are equal. * The sample is a Simple Random Sample (SRS). ANOVA is a relatively robust procedure with respect to violations of the normality assumption (Kirk, 1995) If data are ordinal, a non-parametric alternative to this test should be used - Kruskal-Wallis one-way analysis of variance. sumptions are met: * Response variable must be normally distributed (or approximately normally distributed). * Samples are independent. * Variances of populations are equal. * The sample is a Simple Random Sample (SRS). ANOVA is a relatively robust procedure with respect to violations of the normality assumption (Kirk, 1995) If data are ordinal, a non-parametric alternative to this test should be used - Kruskal-Wallis one-way analysis of variance
In a study using 9 samples and in which the population variance is unknown the distribution that should be used to calculate confidence intervals is?
In a study using 9 samples, and in which the population variance is unknown, the distribution that should be used to calculate confidence intervals is
Will the mean of the sample means be equal to the population mean?
Most probably not. But it should be close to the population mean if various conditions are met: For example, the population should consist of independent, [nearly] identically distributed variables, the sample is not systematically biased (it does not have to be completely random).
Why the sample should be normally distributed?
The sample should not be normally distributed.If you have a population of size N from which a random sample of size n is to be drawn, then there are NCn possible samples. Each one of these must have the same probability of being thesample. That is, the sample is uniformly distributed - not Normally.
What should a well-constructed histogram reveal to you?
Whether or not the data are normally distributed and the Customer expectations.
Prepardeness action to counter cbrn attacks on your instalation?
when should you remove your cpo after it becomes contaminated
In the discrete probability distribution what is the sum of all probabilities?
The sum should equal to 1.
How should a limited amount of an HIV therapeutic product be distributed?
how should a limited amount of an HIV therapeutic oroduct be distributed
To conduct a t test for independent means ideally the populations should be both normally distributed and have the same?
The other assumptions are listed in the related link. The answer you are looking for is the same variance or standard deviation.
What is the difference between distributed and replicated database?
In a distributed database, data is divided and stored across multiple nodes in a network, while in a replicated database, data is duplicated and stored across multiple nodes for redundancy and fault tolerance. Distributed databases focus on partitioning data for scalability and performance, whereas replicated databases focus on ensuring data availability and reliability.
How do you determine legitimate probability distributions?
Well... the probabilities should add up to exactly 1 and cannot be negative.
Assumption of one-way analysis of variance?
The results of a one-way ANOVA can be considered reliable as long as the following as The results of a one-way ANOVA can be considered reliable as long as the following assumptions are met: * Response variable must be normally distributed (or approximately normally distributed). * Samples are independent. * Variances of populations are equal. * The sample is a Simple Random Sample (SRS). ANOVA is a relatively robust procedure with respect to violations of the normality assumption (Kirk, 1995) If data are ordinal, a non-parametric alternative to this test should be used - Kruskal-Wallis one-way analysis of variance. sumptions are met: * Response variable must be normally distributed (or approximately normally distributed). * Samples are independent. * Variances of populations are equal. * The sample is a Simple Random Sample (SRS). ANOVA is a relatively robust procedure with respect to violations of the normality assumption (Kirk, 1995) If data are ordinal, a non-parametric alternative to this test should be used - Kruskal-Wallis one-way analysis of variance
Should world energy consumption be more distributed?
yes
Should you calculate the profit on cost or Sales?
We should calculate the profit on sales
Where to go to study the pick 4 number?
The public library in the "statistics" section. They should have plenty of books to study statistics and probabilities.
