What is the primary advantage of converting raw data in frequency tables to relative frequencies?

• It makes the data more colorful.

• It reduces the size of the data set.

• It allows for easier comparison between data sets.

• It increases the accuracy of the data.

In the example of the survey about living settings and pet ownership, what percentage of people lived in an urban setting with a cat?

• 27%

• 54%

• 40%

• 64%

Why are joint relative frequencies important in data analysis?

• They help in identifying the total number of surveys.

• They allow for the representation of data as percentages.

• They provide a visual representation of the data.

• They are used to calculate the mean of the data set.

What is a major benefit of converting frequencies to percentages?

• It eliminates the need for data visualization.

• It allows for comparisons between different data sets.

• It simplifies the data collection process.

• It increases the number of data points.

How is a conditional relative frequency calculated?

• By isolating one condition and dividing by the margin total.

• By dividing the joint frequency by the total number of participants.

• By adding all the frequencies together.

• By multiplying the joint frequency by 100.

In the urban and rural setting example, what percentage of urban dwellers have a dog?

• 40%

• 36%

• 60%

• 64%

In the vitamin C study, what percentage of participants had a shorter duration cold in Group A?

• 66%

• 37%

• 51%

• 48%

What conclusion can be drawn about Group A in the vitamin C study?

• Group A had a longer duration cold.

• Group A was likely the treatment group.

• Group A had no significant difference.

• Group A was likely the placebo group.

What is the expected outcome of the treatment in the vitamin C study?

• No change in cold duration.

• A shorter duration cold.

• A longer duration cold.

• An increase in cold symptoms.

In the vitamin C study, what percentage of Group B had a longer duration cold?

• 51%

• 48%

• 37%

• 66%