To test whether a sample - based on a random variable X - comes from a normally distributed population, the following single classification table was calculated:Observed frequency20th20th2130th232418th14thTheoretical distribution 23.12 14.25 19.2 11/27 24.71 20.26 16.43 16.91To determine the theoretical distribution, the mean of the population was estimated using the corresponding likelihood estimator of the sample. The standard deviation o of thepopulation is given by dealer information. Test the hypothesis whether the population can be assumed to be normal.Name of the test procedure:OCi-square test for single classification tablesO Chi-square test for a random variable XO Chi-square test for contingency tablesO Four-field testHypothesis:O The sample comes from a normally distributed population with an estimated mean value and a given standard deviation oO The sample comes from an exponentially distributed populationO The sample comes from a normally distributed population with a given mean value u and a given standard deviation aO The sample comes from a normally distributed population with an estimated mean and an estimated standard deviationTest variable xd:(+ 0.02Degrees of freedom (df):(+0Critical valuec:|(土0.02Null hypothesis Ho accept:Comment:

Name: To test whether a sample - based on a random variable X - comes from
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Description: To test whether a sample - based on a random variable X - comes from a normally distributed population, the following single classification table was calculated:Observed frequency20th20th2130th232418th14thTheoretical distribution 23.12 14.25 19.2 11

We have to perform chi square goodness of fit test.

To test whether a sample - based on a random variable X - comes from a normally distributed population, the following single classification table was calculated: Observed frequency 20th 20th 21 30th 23 24 18th 14th Theoretical distribution 23.12 14.25 19.2 11/27 24.71 20.26 16.43 16.91 To determine the theoretical distribution, the mean of the population was estimated using the corresponding likelihood estimator of the sample. The standard deviation o of the population is given by dealer information. Test the hypothesis whether the population can be assumed to be normal. Name of the test procedure: OCi-square test for single classification tables O Ch-square test for a random variable X O Chi-square test for contingency tables O Four-field test Hypothesis: O The sample comes from a normally distributed population with an estimated mean value and a given standard deviation o O The sample comes from an exponentially distributed population O The sample comes from a normally distributed population with a given mean value u and a given standard deviation a O The sample comes from a normally distributed population with an estimated mean and an estimated standard deviation Test variable x (は0.03 Degrees of freedom (df): (+0 Critical valuec: |(土0.02 Null hypothesis Ho accept: Comment:

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To test whether a sample - based on a random variable X - comes from a normally distributed population, the following single classification table was calculated:
Observed frequency
20th
20th
21
30th
23
24
18th
14th
Theoretical distribution 23.12 14.25 19.2 11/27 24.71 20.26 16.43 16.91
To determine the theoretical distribution, the mean of the population was estimated using the corresponding likelihood estimator of the sample. The standard deviation o of the
population is given by dealer information. Test the hypothesis whether the population can be assumed to be normal.
Name of the test procedure:
OCi-square test for single classification tables
O Chi-square test for a random variable X
O Chi-square test for contingency tables
O Four-field test
Hypothesis:
O The sample comes from a normally distributed population with an estimated mean value and a given standard deviation o
O The sample comes from an exponentially distributed population
O The sample comes from a normally distributed population with a given mean value u and a given standard deviation a
O The sample comes from a normally distributed population with an estimated mean and an estimated standard deviation
Test variable xd:
(+ 0.02
Degrees of freedom (df):
(+0
Critical valuec:
|(土0.02
Null hypothesis Ho accept:
Comment:

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