Exploring Two Way Tables in IM 1

What is the primary purpose of a two-way table?

• To display data collected from surveys in a structured format.

• To perform complex statistical analysis.

• To calculate the mean of a dataset.

• To graphically represent data.

What does a frequency distribution table help you understand?

• The graphical representation of data.

• The maximum value in a dataset.

• The distribution of responses across different categories.

• The average value of a dataset.

How do you calculate the total for a row in a two-way table?

• By subtracting the values in the row.

• By adding the values in the row.

• By dividing the values in the row.

• By multiplying the values in the row.

What is a joint frequency in the context of two-way tables?

• The average frequency across categories.

• The sum of all frequencies in the table.

• The total number of occurrences in a single category.

• The frequency of two combined categories.

What does a marginal frequency represent?

• The frequency of a single category.

• The least frequent category.

• The total frequency across all categories.

• The most frequent category.

What is the significance of the grand total in a two-way table?

• It shows the average frequency.

• It represents the total number of categories.

• It is the sum of all frequencies in the table.

• It indicates the most frequent category.

What does a relative frequency table show?

• The proportion of each category relative to the total.

• The difference between the highest and lowest frequencies.

• The cumulative frequency of each category.

• The relationship between two variables.

How do you find a conditional relative frequency?

• By subtracting the marginal frequency from the joint frequency.

• By dividing the joint frequency by the marginal frequency.

• By adding the joint frequency to the marginal frequency.

• By multiplying the joint frequency by the marginal frequency.

How can associations in two-way tables be identified?

• By analyzing the conditional relative frequencies.

• By comparing the row totals.

• By calculating the mean of each category.

• By graphing the data.

What does it mean if there is a strong association between two categories in a two-way table?

• The categories are mutually exclusive.

• The categories often occur together.

• The categories have a causal relationship.

• The categories are unrelated.