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i. Chi-square goodness-of-fit test is the appropriate statistical test to use when you wish to
Determine how well an observed set of data fits an expected set of data.
ii. The null hypothesis in the goodness-of-fit test is that there is no difference.
iii. The alternative hypothesis states that there is a difference between the observed frequencies
And the expected frequencies in a goodness-of-fit test.
Variance
A measure of dispersion that represents the average of the squared differences from the mean.
P-Value
A statistical measure that helps researchers determine if their hypothesis is supported, indicating the probability of observing the obtained results, or more extreme, if the null hypothesis is true.
Power of the Test
The probability that a statistical test will correctly reject a false null hypothesis, or its ability to detect an effect when there is one.
True Value
The actual or real value of a parameter which is estimated in a study.
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