About This Chapter
SBA Math - Grade 6: Statistics - Chapter Summary
These entertaining, quick video lessons are designed to help 6th graders review the statistics concepts they'll need to be successful on the Mathematics SBA. Lesson topics in this chapter include:
- Types and calculations of averages
- Measures of central tendency
- Scales of measurement
- Methods for visually displaying data
- Maximums, minimums, outliers and quartiles
- How to calculate the standard deviation
There are no external links on our lesson pages so your student has a safe online study tool that doesn't lead to distractions. Each lesson offers a short quiz to let your student practice using the information he or she has covered.
1. Identifying & Calculating Averages
After watching this video lesson, you will be able to calculate any kind of average, even the average of certain events when some events repeat. Learn the general formula to use to calculate any average.
2. Calculating Weighted Average: Method, Formula & Example
This lesson will examine the concept of a weighted average and types of situations when it should be used instead of a standard average. It will also give some real-world examples of a weighted average.
3. Mean, Median & Mode: Measures of Central Tendency
By describing the data using central tendency, a researcher and reader can understand what the typical score looks like. In this lesson, we will explore in more detail these measures of central tendency and how they relate to samples and populations.
4. How to Calculate Mean, Median, Mode & Range
Measures of central tendency can provide valuable information about a set of data. In this lesson, explore how to calculate the mean, median, mode and range of any given data set.
5. Calculating the Mean, Median, Mode & Range: Practice Problems
Calculating the mean, median, mode, and range of a data set is a fundamental part of learning statistics. Use this video to practice your skills and then test your knowledge with a short quiz.
6. What is Quantitative Data? - Definition & Examples
Watch this video lesson to find out the difference between saying you have seven apples and saying that those apples are delicious. You will learn about quantitative data and why it is useful.
7. Continuous, Discrete & Categorical Variables: Definition and Examples
When doing research, variables come in many types. In this lesson, we'll explore the three most common types of variables: continuous, discrete, and categorical.
8. Scales of Measurement: Nominal, Ordinal, Interval & Ratio
When doing research, variables are described on four major scales. In this lesson, we'll look at the major scales of measurement, including nominal, ordinal, interval, and ratio scales.
9. Ordering & Ranking Data: Process & Example
Ordering and ranking data can often be more important than you might think. In addition to being an important part of competitions, ranking data can be another way of analyzing and evaluating research.
10. What is the Center in a Data Set? - Definition & Options
Finding the center in a data set can sometimes be a little confusing. This lesson will help you determine the correct method for finding the center in a data set, and when you are finished, test your knowledge with a short quiz!
11. Visual Representations of a Data Set: Shape, Symmetry & Skewness
Visual representations are a fantastic way of understanding and analyzing your data. Use this lesson to understand the characteristics of visual representations of data.
12. Unimodal & Bimodal Distributions: Definition & Examples
Sometimes a single mode does not accurately describe a data set. In this lesson, learn the differences between and the uses of unimodal and bimodal distribution. When you are finished, test your knowledge with a quiz!
13. Spread in Data Sets: Definition & Example
Identifying the spread in data sets is a very important part of statistics. You can do this several ways, but the most common methods are through range, interquartile range, and variance.
14. Maximums, Minimums & Outliers in a Data Set
When analyzing data sets, the first thing to identify is the maximums, minimums, and outliers. This lesson will help you learn how to identify these important items.
15. Quartiles & the Interquartile Range: Definition, Formulate & Examples
Quartiles and the interquartile range can be used to group and analyze data sets. In this lesson, learn the definition and steps for finding the quartiles and interquartile range for a given data set.
16. Finding Percentiles in a Data Set: Formula & Examples
Percentiles are often used in academics to compare student scores. Finding percentiles in a data set can be a useful way to organize and compare numbers in a data set.
17. Calculating the Standard Deviation
In this lesson, we will examine the meaning and process of calculating the standard deviation of a data set. Standard deviation can help to determine if the data set is a normal distribution.
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Other chapters within the Smarter Balanced Assessments - Math Grade 6: Test Prep & Practice course
- SBA Math - Grade 6: Basic Arithmetic Operations
- SBA Math - Grade 6: Logic & Mathematical Reasoning
- SBA Math - Grade 6: Number Theory
- SBA Math - Grade 6: Introduction to Fractions
- SBA Math - Grade 6: Operations with Fractions
- SBA Math - Grade 6: Ratios, Rates & Proportions
- SBA Math - Grade 6: Percents
- SBA Math - Grade 6: Introduction to Decimals
- SBA Math - Grade 6: Operations with Decimals
- SBA Math - Grade 6: The Coordinate Graph
- SBA Math - Grade 6: Inequalities
- SBA Math - Grade 6: Factoring
- SBA Math - Grade 6: Rational Numbers
- SBA Math - Grade 6: Basic Algebraic Expressions
- SBA Math - Grade 6: Writing Algebraic Expressions
- SBA Math - Grade 6: Algebraic Distribution
- SBA Math - Grade 6: One-Step Equations
- SBA Math - Grade 6: Perimeter & Area
- SBA Math - Grade 6: Surface Area & Volume of Geometric Solids
- SBA Math - Grade 6: Data & Graphs
- Smarter Balanced Assessments - Math Grade 6 Flashcards