Tablas de contingencia

Multiple Choice

Which of the following best describes a unidimensional variable?

• A variable that is studied in isolation

• A variable that depends on another variable

• A variable that cannot be measured

• A variable that changes over time

Open Ended

Why is it important to study the relationship between two or more variables in real-life situations?

Multiple Choice

Which of the following variables are most likely to be interrelated when studying a person's physical state?

• Height and weight

• Eye color and hair color

• Age and sex

• Exercise and hair color

Multiple Select

Select all options that represent qualitative variables.

• Age

• Sex

• Eye color

• Hair color

Multiple Choice

Which of the following is NOT a qualitative variable?

• Eye color

• Hair color

• Sex

• Height

Open Ended

Explain the difference between quantitative and qualitative variables, providing examples for each.

Open Ended

Describe how a contingency table can be used to compare the effectiveness of two treatments in a hospital study involving patients with different levels of neuronal problems.

Multiple Choice

What do the values a, b, c, and d represent in the contingency table?

• Different types of treatments

• Absolute double frequencies for each combination of variables

• Marginal frequencies

• Percentages of subjects

Multiple Choice

Which combination of problem type and treatment had the highest number of subjects?

• High problems and old treatment

• Low problems and old treatment

• High problems and new treatment

• Low problems and new treatment

Multiple Choice

How do you calculate the relative double frequency for each cell in the contingency table?

• Multiply the cell value by 100

• Divide the cell value by the total number of subjects

• Add all the values in the row

• Subtract the lowest value from the highest

Open Ended

Explain the purpose of calculating double relative frequencies in a contingency table.

Multiple Select

Select all statements that are true about marginal frequencies and distributions.

• Marginal frequency of X is found by summing each row in the contingency table.

• Marginal frequency of Y is found by summing each column in the contingency table.

• Marginal frequencies are the same as double frequencies.

• Marginal distributions help us understand the total distribution for one variable regardless of the other.

Multiple Choice

What is the total number of patients in the study, according to the marginal distribution?

• 14

• 16

• 15

• 30

Multiple Choice

Which frequencies in the table correspond to the conditional frequencies f21 and f22?

• 5 and 11

• 10 and 4

• 14 and 16

• 15 and 15

Open Ended

Explain how to calculate the conditional distribution of Y given X using the provided example.

Multiple Select

Which statements are correct based on the interpretation of the conditional frequencies for the new treatment?

• 31.25% of patients have high neuronal problems

• 68.75% of patients have low neuronal problems

• All patients have high neuronal problems

• The sum of conditional frequencies is 1

Multiple Choice

What is one main difference between a stacked bar chart and a side-by-side bar chart when representing categorical data?

• Stacked bar charts show totals, while side-by-side bar charts show individual values.

• Side-by-side bar charts are always 3D, while stacked bar charts are always 2D.

• Stacked bar charts cannot show percentages.

• Side-by-side bar charts are only used for time series data.

Multiple Choice

Which type of bar chart best allows you to compare the values of 'Altos' and 'Bajos' for both 'Antiguo' and 'Nuevo' categories?

• Side-by-side bar chart

• Stacked bar chart

• Pie chart

• Line chart

Multiple Choice

What is the advantage of using a three-dimensional bar chart compared to a two-dimensional one?

• It allows for better visualization of multiple variables.

• It is easier to read exact values.

• It always shows percentages.

• It is only used for marginal distributions.

Open Ended

Explain how contingency tables can be used to interpret the relationship between two categorical variables, as introduced in the exercises section.

Multiple Choice

Based on the contingency table in Exercise 1, which group has the highest number of patients with high depersonalization syndrome?

• Few personal relationships

• Many personal relationships

• Both groups are equal

• Cannot be determined

Open Ended

What questions do you still have about contingency tables or their application in analyzing relationships between variables?

Open Ended

Reflecting on today's lesson about contingency tables, what is one new concept or idea that you learned, and how do you think it could be applied in real-life situations?