Data Analysis Quiz

What are the two main types of measures discussed in the video?

• Measures of time and measures of frequency

• Measures of speed and measures of distance

• Measures of height and measures of weight

• Measures of center and measures of variability

What type of training was used to collect heart rate data?

• Low-intensity steady state training

• High-intensity interval training

• Circuit training

• Strength training

How is the mean of a data set calculated?

• By subtracting the smallest value from the largest value

• By dividing the sum of all data by the number of data points

• By arranging data from least to greatest

• By finding the most frequent value

What is the median of a data set?

• The most frequently occurring value

• The middle value when data is ordered

• The sum of all data points

• The difference between the highest and lowest values

What does the interquartile range represent?

• The average of all data points

• The range of the middle 50% of the data

• The difference between the highest and lowest values

• The range of the entire data set

How can the overall range of a data set be calculated?

• By arranging data from least to greatest

• By finding the most frequent value

• By averaging all data points

• By finding the difference between the least and greatest values

What tool is suggested for automating calculations?

• Python

• Desmos

• Google Sheets

• Microsoft Excel

What does the mean absolute deviation indicate?

• The range of the entire data set

• The average distance of each data point from the mean

• The most frequent value in the data set

• The middle value of the data set

What does a smaller IQR or MAD value suggest about the data?

• The data points are similar to one another

• The data is skewed

• The data is highly variable

• The data has a wide range

What is the purpose of using absolute values in calculating MAD?

• To arrange data from least to greatest

• To find the most frequent value

• To calculate the sum of all data points

• To ensure all differences are positive