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What are range and outliers?

TX.S.2.A

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Classification of data

Characteristics of Quantitative Data

Classify the Level of Measurement

Identify the Level of Measurement

TX.S.2.B

Influencing factors in data collection

TX.S.2.C

Spread of a data set - standard deviation & variance

TX.S.2.D

Sampling distributions

Understanding Proportions and Sample Size

TX.S.3.B

Frequency distribution and histograms

Regression analysis

Equation of the best fit line

Stem and leaf plots

The Leaf and Stem of Numbers

Recognizing the Leaf and Stem of Numbers

Recognizing The Leaf And Stem of Numbers Leaf

Recognizing The Leaf And Stem of Numbers Stem

Reading Stem and Leaf Plots — Median

Reading Stem and Leaf Plots — Range

stem and leaf plots Range

Reading Stem and Leaf Plots

Reading Stem and Leaf Plots — Mean

Reading Stem and Leaf Plots — Mode

Frequency polygons

TX.S.3.C

Range and outliers

Range and Outlier Word Problems

Outlier Word Problems

Range Word Problems

Find the Range

Shapes of distributions

TX.S.3.E

Center of a data set: mean, median, mode

TX.S.3.F

Probability with Venn diagrams

TX.S.4.B

Comparing experimental and theoretical probability

comparing experimental and theoretical probability

TX.S.4.C

Probability distribution - histogram, mean, variance & standard deviation

TX.S.4.D

Central limit theorem

Central Limit Theorem

Applying the Central Limit Theorem

TX.S.5.A

Confidence levels and critical values

TX.S.5.B

Margin of error

Margin of Error

TX.S.5.C

Binomial distribution

Binomial Distribution

Mean and standard deviation of binomial distribution

Interpreting Mean and Standard Deviation of Binomial

Confidence intervals to estimate population mean

TX.S.5.E

Making a confidence interval

TX.S.5.F

Null hypothesis and alternative hypothesis

TX.S.5.H

P-value hypothesis testing

Proportion Hypothesis Testing

TX.S.5.I

Traditional hypothesis testing

Traditional Mean Hypothesis Testing

TX.S.5.J

Type 1 and type 2 errors

Type 1 and Type 2 Errors

TX.S.6.A

Sampling methods

Sampling Methods

TX.S.6.D

Student's t-distribution

Student"s t-distribution

Determining a Confidence Interval for a Population Mean using t-distributions

Census and bias

Census and Bias

Classifying Bias

TX.S.6.E

Bivariate, scatter plots and correlation 

TX.S.6.F

Proving claims

Confidence levels, significance levels and critical values

Categorical and quantitative data

Inference

Probability and random variables

Statistical studies

Variability

math

Ex.1

Ex.2

Ex.3

In this section, we practice determining the range for data sets. Also, we identify outliers in data sets. A range is the positive difference between the largest and smallest values in a data set. An outlier is a value that is much smaller or larger than the other data values. It is possible for a data set to have one or more outliers. In this section, we are first given sets of data and asked to calculate the range of each set. Then, we are given word problems and asked to calculate the ranges and identify any outliers. Also, we are asked to use the mode and median of a given data set to determine the individual values in the set of data as well as the range of each set. 

Range and outliners

Prime factorization

Place value