In statistics, there are two different types of Chi-Square tests:. The Chi-Square Goodness of Fit Test — Used to determine whether or not a categorical variable follows a hypothesized distribution. These are variables that take on names or labels and can fit into categories. Examples include:. You should use the Chi-Square Goodness of Fit Test whenever you would like to know if some categorical variable follows some hypothesized distribution. A shop owner wants to know if an equal number of people come into a shop each day of the week, so he counts the number of people who come in each day during a random week.
How to Find the P-Value from the Chi-Square Distribution Table
The chi-square goodness-of-fit test is a single-sample nonparametric test, also referred to as the one-sample goodness-of-fit test or Pearson's chi-square goodness-of-fit test. It is used to determine whether the distribution of cases e. The proportion of cases expected in each group of the categorical variable can be equal or unequal e. When you carry out a chi-square goodness-of-fit test, "hypothesising" whether you expect the proportion of cases in each group of your categorical variable to be "equal" or "unequal" is critical.
We are listed on these 2 directories. If you flip a coin, it will land either head up or tail up -- two possibilities. Therefore, we say that the probability of heads to tails is. If the coin is tossed a large number of times -- say, times -- then the ratio of heads to tails would be close to Suppose you try this coin-tossing and get 47 heads to 53 tails.