Annie Rice
2022-04-16
Ouhamiptkg
Beginner2022-04-17Added 18 answers
A Chi-Square for goodness of fit test is a test used to assess whether the observed data can be claimed to reasonably fit the expected data. Sometimes, a Chi-Square test for goodness of fit is referred as a test for multinomial experiments, because there is a fixed number of N categories, and each of the outcomes of the experiment falls in exactly one of those categories. Then, based on sample information, the test uses a Chi-Square statistic to assess if the expected proportions for all categories reasonably fit the sample data. The main properties of a one sample Chi-Square test for goodness of fit are:
1. The distribution of the test statistic is the Chi-Square distribution, with n-1 degrees of freedom, where n is the number of categories
2. The Chi-Square distribution is one of the most important distributions in statistics, together with the normal distribution and the F-distribution
3. The Chi-Square test of goodness of fit is right-tailed
The formula for a Chi-Square statistic is
One of the most common uses for this test is to assess whether two categorical variables are significantly related or not.
Usually, the Chi-Square test for independence is referred to as a 2-way cross-tabulation test. If we have a one-way crosstabulation, we should use a Chi-square test for goodness of fit.
For ease of calculations, construct the following table:
Thus, the expected number of senior is 45. Option (b) is correct.
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78038 18022 84755 23146 12720 70910 49732 79606
Starting at the beginning of the row, what are the first 12 numbers between 01 and 99 in the sample?
How many different 10 letter words (real or imaginary) can be formed from the following letters
H,T,G,B,X,X,T,L,N,J.
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A)
B)
C)
D)
The numbers of significant figures in are:
A)Two
B)Three
C)Ten
D)Thirty one
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1) 9 Hours
2) 3.5 Hours
3) 6 Hours
4) 12.5 Hours
What is the square root of 106?