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How do you find the positive critical value of 0.01?
The positive critical value depends on the distribution and then the parameters (if any) which characterise the distribution.
How critical value is calculated in Kolmogorov-Smirnov test?
if my data followed to a special distribution, how can i calculate the critical value of k-s test in this case?
Can the binomial distribution be normalized?
No. I am using "normalization" as used in probability theory as application of a normalizing constant to a value, to make it conform to a certain distribution.
What is 0.50 one tailed critical value?
The answer depends on the distribution. But since you have not bothered to share that crucial bit of information, I cannot provide a more useful answer.
What is the difference between a test statistic and a critical value?
A test statistic is a value calculated from a set of observations. A critical value depends on a null hypothesis about the distribution of the variable and the degree of certainty required from the test. Given a null hypothesis it may be possible to calculate the distribution of the test statistic. Then, given an alternative hypothesis, it is may be possible to calculate the probability of the test statistic taking the observed (or more extreme) value under the null hypothesis and the alternative. Finally, you need the degree of certainty required from the test and this will determine the value such that if the test statistic is more extreme than the critical value, it is unlikely that the observations are consistent with the hypothesis so it must be rejected in favour of the alternative hypothesis. It may not always be possible to calculate the distribution function for the variable.
How do you find the positive critical value of 0.01?
The positive critical value depends on the distribution and then the parameters (if any) which characterise the distribution.
How critical value is calculated in Kolmogorov-Smirnov test?
if my data followed to a special distribution, how can i calculate the critical value of k-s test in this case?
How do you find the critical value in statistics?
To find the critical value in statistics, it requires a hypothesis testing. Using the critical value approach can also be helpful in this matter.
Can the binomial distribution be normalized?
No. I am using "normalization" as used in probability theory as application of a normalizing constant to a value, to make it conform to a certain distribution.
What is 0.50 one tailed critical value?
The answer depends on the distribution. But since you have not bothered to share that crucial bit of information, I cannot provide a more useful answer.
Critical value and p-value method what are their relationship?
The critical value is an FINISHED
What is the difference between a test statistic and a critical value?
A test statistic is a value calculated from a set of observations. A critical value depends on a null hypothesis about the distribution of the variable and the degree of certainty required from the test. Given a null hypothesis it may be possible to calculate the distribution of the test statistic. Then, given an alternative hypothesis, it is may be possible to calculate the probability of the test statistic taking the observed (or more extreme) value under the null hypothesis and the alternative. Finally, you need the degree of certainty required from the test and this will determine the value such that if the test statistic is more extreme than the critical value, it is unlikely that the observations are consistent with the hypothesis so it must be rejected in favour of the alternative hypothesis. It may not always be possible to calculate the distribution function for the variable.
What is the mean of a normal distribution?
It is the expected value of the distribution. It also happens to be the mode and median.It is the expected value of the distribution. It also happens to be the mode and median.It is the expected value of the distribution. It also happens to be the mode and median.It is the expected value of the distribution. It also happens to be the mode and median.
What are the differences between discrete and continuous distribution?
discrete distribution is the distribution that can use the value of a whole number only while continuous distribution is the distribution that can assume any value between two numbers.
How do you find p value with test statistic and critical value?
Normally you would find the critical value when given the p value and the test statistic.
What is distribution is statistics?
The distribution for a variable is the set of value that the variable can take and the probabilities associated with those value.
What is the difference of frequency distribution and relative frequency distribution?
A frequency distribution lists each value in the distribution and the number times it appears, while a relative frequency distribution reports the proportion of cases reporting each value
