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Factors That Can Bias Data Collection

CC.HSS.CP.A.2

Probability of independent events

Multiplication rule for 

Multiplication rule for "AND"

Multiplication Rule for "AND"

auto-gen

CC.HSS.CP.A.3

Conditional probability

CC.HSS.CP.A.5

Comparing experimental and theoretical probability

comparing experimental and theoretical probability

CC.HSS.CP.B.7

Addition rule for 

Addition Rule for "OR"

Addition rule for "OR"

CC.HSS.CP.B.9

Permutations

Combinations

Probability involving permutations and combinations

CC.HSS.IC.A.1

Sampling methods

Sampling Methods

CC.HSS.IC.A.2

Sampling distributions

Understanding Proportions and Sample Size

Rare event rule

The Rare Event Rule for the Central Limit Theorem

CC.HSS.IC.B.3

Census and bias

Census and Bias

Classifying Bias

CC.HSS.IC.B.4

Margin of error

Margin of Error

Making a confidence interval

Confidence intervals to estimate population mean

CC.HSS.IC.B.5

Traditional hypothesis testing

Traditional Mean Hypothesis Testing

P-value hypothesis testing

Proportion Hypothesis Testing

Analysis of variance (ANOVA)

CC.HSS.IC.B.6

Influencing factors in data collection

CC.HSS.ID.A.1

Why learn log?

Frequency distribution and histograms

Equation of the best fit line

The determinant of a 2 x 2 matrix

CC.HSS.ID.A.2

Median and mode

Median and Mode Table

Median and Mode – Word Problem

Median of an even length list

Median of an odd length list

Mean

Mean Word Problems

Find the Mean

Application of Means

Range and outliers

Range and Outlier Word Problems

Outlier Word Problems

Range Word Problems

Find the Range

Center of a data set: mean, median, mode

Spread of a data set - standard deviation & variance

CC.HSS.ID.A.3

Application of averages

Measures of Central Tendency — Word Problem

Find the Means — Data Tables

Find Mean and Mode — Data Table

Identify Outliers — Data Table

Shapes of distributions

CC.HSS.ID.A.4

Introduction to normal distribution

The Normal Distribution and the 68-95-99.7 Rule

Using "invNorm" to Solve Normal Distribution Problems

Normal distribution and continuous random variable

Z-scores and random continuous variables

CC.HSS.ID.B.5

Reading and drawing Venn diagrams

Probability with Venn diagrams

CC.HSS.ID.B.6

Reading and drawing line graphs

Reading Line Graphs

Bivariate, scatter plots and correlation

CC.HSS.MD.A.1

Probability distribution - histogram, mean, variance & standard deviation

CC.HSS.MD.A.2

Properties of expectation

Properties of Expectation and Variance

Properties of Expectation

CC.HSS.MD.A.3

Binomial distribution

Binomial Distribution

Mean and standard deviation of binomial distribution

Interpreting Mean and Standard Deviation of Binomial

CC.HSS.MD.B.7

Type 1 and type 2 errors

Type 1 and Type 2 Errors

Parent Assignments

Challenge Zone

Foundation Review

Statistics and Probability

math

Intro: Influencing Factors In Data Collection

Identifying and fixing bias in survey questions

Identifying bias in a survey question about dessert preferences

Evaluating a survey about school bathrooms for bias

- Hi, welcome to this question right here. So we're trying to rewrite this question so that they don't have a bias. Okay? So that means there's a problem with the question itself already. We just have to figure it out. So the question here says, 
"What is your most favorite dessert?" We&apos;ve got A chocolate cake, B strawberry cake and C vanilla cake. Okay? 
Any problem with this question? The thing here is this, it's only asking you the most favorite dessert, okay? Now we don't see the following selections right here. When I ask you this question, "What's your most favorite dessert?" You're probably maybe thinking like, "Okay, I like jellos. I may like the chocolate cookies. I may like the yogurt." Then you see all the selections here, you'll be like, "Oh, what's going on?" I only have the chocolate cake, strawberry cake and vanilla cake to choose from. So that's kind of bias. You are leaded to just the cake. You're assuming that everybody likes the dessert cake. Okay? 
So that's not really fair. Okay? So what happen is, we want to eliminate that-- 
this part right here. The most favorite dessert, and then they're thinking-- the survey is thinking that or trying to lead you that it's the cake that you like the best. Okay? Because you maybe like something else but they're trying to lead you to the cake. Okay, so this is probably done by the cake company and turned it into a survey. So what happened is, what we can do is this. We're going to change the question to something like, "Which of the following cake you like the most?" This is more reasonable. It kind of puts your own preference away and actually puts yourself in another perspective that okay, we&apos;ve got a list of cakes here for you. Okay? You don't have your own preference. These are the cakes for you and you're just going to pick something you like the most. Okay? 
So what happened here is, that if you read it again it says, "Which of the following cake you'll like the most?" We&apos;ve got a chocolate cake, strawberry cake and vanilla cake. So right now you just-- 
When you jump into this part here, you'll know that you're picking the cakes. Just the cakes, and you're picking the one that you'd like the most. Whereas the first one, it kind of leads you to the problem where you're actually-- They're trying to lead you that, assuming that everybody likes the cake. Okay? So that's not a good part right here. So the most favorite dessert right here, this dessert part should change to, give you a list of cakes right here. Okay? This is a much better question comparing to the first one. Pretty tricky, but if you read it a couple of times you will see the difference. Okay? Thanks for watching.

Rewriting a biased dessert survey question to remove bias

Identifying cultural sensitivity bias in a Christmas survey question

Removing bias from a cafeteria pricing survey question

Rewriting a survey question to include all respondents

A statistical study can be calculated correctly and still mislead if the data itself was collected in a biased way. Learn the four common sources of bias in data collection: sampling method, question wording, timing, and response bias, with an example of each.

Influencing factors on data collection

Influencing factors in Data Collection

Factors That Can Bias Data Collection | StudyPug

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Overview

Factors That Can Bias Data Collection

What You'll Learn

A study can be calculated correctly and still mislead if the data was collected poorly.

Sampling bias: the people or items sampled don't represent the full population.

Wording bias: a leading question nudges respondents toward an answer.

Timing bias: when data is collected can skew results tied to season or events.

Response bias: people don't always answer honestly, especially on sensitive topics.

What You'll Practice

Analyzing survey questions for gender, cultural, or assumption-based bias

Rewriting leading questions to make them neutral and fair

Correcting questions with limited or biased answer choices

Identifying when to use rating scales instead of yes/no questions

Why This Matters

Before You Start — Make Sure You Can:

This Unit Includes

7 Video lessons

Practice exercises

Learning resources

Skills

Bias Detection

Survey Design

Data Collection

Question Writing

Statistical Reasoning

Cultural Sensitivity