Real World Data and Statistics

Data which is error free and can be relied on; corresponds accurately to the real world.

• Validity

• Statistical Statistic

• Random Sample

• Population Statistic

The process of drawing conclusions using valid data from samples and making generalizations about a population.

• Validity

• Random Sample

• Sample

• Inferential Statistic

A statistician is counting the amount of goals scored by a hockey team. What data type does this example represent?

• Numerical: Discrete

• Numerical: Continuous

A car salesman records information about the cars he is selling. The number of doors is _____ data

• Continuous

• Discrete

During the week, Kiana kept a log of how many hours she spent after school on homework. Based on the information in the table above, which would best describe her homework habits?

• Kiana studied an average of 2.3 hours a week.

• The range is so spread out; it appears Kiana has inconsistent study habits.

• Kiana spends, on average, at least 20% of each day doing homework.

• The data indicates that Kiana studies more towards the end of the week.

A coach measures the running time of his athletic team. What data type does this example represent?

• Categorical: Nominal

• Numerical: Discrete

• Numerical: Continuous

Ms. Moss did a survey of her class about how many books they read over the summer. Using the dot plot, identify the correct statements.

• More of her students have read more than 4 books than the number of students who read less than 3 books.

• Ms. Moss surveyed 20 students.

• Half of the students have read more than 1 book.

• Most of the students have read at least 1 book.

Greg randomly surveyed 25 students in his school to see if they had ever had an overdue library book. The results are shown in the table. According to the sample, about what percent of the students in the school district have had an overdue library book?

What is the median?

• 62

• 58

• 66

• 60