IQR and SD

What does the interquartile range (IQR) measure in a data set?

• The spread of the middle 50% of the data

• The average of all data points

• The difference between the highest and lowest values

• The sum of all data points

Tags

CCSS.6.SP.B.5C

How is the interquartile range (IQR) calculated?

• By subtracting the first quartile (Q1) from the third quartile (Q3)

• By adding the first quartile (Q1) and the third quartile (Q3)

• By dividing the sum of Q1 and Q3 by 2

• By multiplying Q1 and Q3

Tags

CCSS.6.SP.B.5C

Why is the interquartile range (IQR) considered a reliable measure of spread?

• It is not affected by extreme values or outliers

• It includes all data points

• It is always larger than the range

• It is calculated using the mean

Tags

CCSS.6.SP.A.3

In which field might teachers use the interquartile range (IQR) to analyze data?

• Education

• Healthcare

• Manufacturing

• Agriculture

Tags

CCSS.6.SP.A.3

What is one application of the interquartile range (IQR) in business?

• Analyzing sales data to understand consistency

• Calculating employee salaries

• Determining product prices

• Forecasting market trends

Tags

CCSS.6.SP.A.3

What portion of the data does the interquartile range (IQR) focus on?

• The middle 50%

• The top 25%

• The bottom 25%

• The entire data set

Tags

CCSS.6.SP.B.5C

What is a benefit of using the interquartile range (IQR) in data analysis?

• It helps eliminate noise created by extreme values

• It increases the data set size

• It focuses on outliers

• It simplifies data collection

Tags

CCSS.6.SP.A.3

What does a small standard deviation indicate about a set of data?

• The numbers are close to the average.

• The numbers are spread out over a wide range.

• The data set is skewed.

• The data set is bimodal.

Why is standard deviation important in finance?

• It measures the average return of an investment.

• It assesses the risk by showing how much returns can vary.

• It predicts future stock prices.

• It calculates the total profit of an investment.

What can a high standard deviation in test scores suggest?

• The test was fair and students had similar understanding.

• The test was too easy or too hard for some students.

• All students scored above average.

• The test scores are normally distributed.