Curated Video
Choosing the Right Sample Size: Reducing Variation in Statistics
In this video, the concept of sampling in statistics is explained using examples of a fitness club and a history exam. The importance of random sampling and avoiding biased samples is emphasized. The video also highlights the...
Curated Video
Identifying and Avoiding Biased Samples
In this video, students learn about generating unbiased samples to obtain a representative sample of a population. The video discusses the types of biased sampling methods, such as convenience samples and voluntary response samples, and...
Crash Course
Sampling Methods and Bias with Surveys - Crash Course Statistics
Today we’re going to talk about good and bad surveys. From user feedback surveys, telephone polls, and those questionnaires at your doctors office, surveys are everywhere, but with their ease to create and distribute, they're also...
Curated Video
Avoiding Bias in Statistical Research
This video provides a lesson on how to conduct a statistical investigation without bias. It describes different types of bias, such as selection bias and response bias, and their implications for research conclusions. The video also...
Curated Video
Advanced problem solving with sampling
Pupil outcome: I can use my understanding of sampling to solve problems. Key learning points: - Samples can be evaluated to determine the validity of any conclusions. - A suitable sample size can vary, depending on the statistical...
Curated Video
Problem solving with sampling
Pupil outcome: I can use my understanding of sampling to solve problems. Key learning points: - Samples can be evaluated to determine the validity of any conclusions. - A suitable sample size can vary, depending on the statistical...
Curated Video
Understanding Bias in Statistical Investigations
In this video, the teacher explains the concept of bias in statistical investigations. They discuss the different types of bias, such as selection bias and response bias, and provide examples to help students understand how bias can...
Curated Video
Selection Bias: How It Can Fool You and Why It Matters
This video explains the concept of selection bias and how it can lead to false conclusions. Through examples like the story of Abraham Wald and the Simpson Paradox, it demonstrates the importance of understanding data and selecting...
Curated Video
Stratified sampling
Pupil outcome: I can carry out a stratified sample. Key learning points: - A biased sample is not necessarily bad. - You may wish to represent certain groupings in your sample. - The sample from each group is proportional to the group size.
Curated Video
How to Obtain a Random Sample for Surveys
This video explains how to obtain a random sample from a population using different methods such as drawing names or numbers, using a table of random numbers, or a random number generator on a calculator or computer. It emphasizes the...
KnowMo
Introduction to Sampling: How to Select a Representative Sample
This video is a lecture about sampling, which is a method used to collect and analyze data about a population. The lecturer explains that it is often not feasible to collect data from every member of a population, so a sample is taken...
Curated Video
Identify the Best Way to Sample a Population
In this short video we will answer a standardized math test question where we are asked to identify the best representative sampling of a population. We will review each answer choice looking for bias and selecting the most random...
KnowMo
Types of Data and Sampling in Statistics
This video provides an overview of different types of data and sampling methods for data collection in statistics. The speaker identifies two key types of data - quantitative and qualitative - and explains their subcategories such as...
Curated Video
How to Conduct a Survey and Choose a Sampling Method
This video provides a lesson on how to conduct a sample survey to determine the popularity of two soda brands, A and B, on a college campus. It explains different sampling methods such as simple random sampling, systematic sampling,...
Curated Video
Understanding Populations and Samples: Importance of Representative Samples and Large Sample Sizes
This video explains the concepts of populations and samples in statistical analysis. It defines population as the overall group of interest, and sample as a subset of the population used to infer information about it. The video...
Curated Video
Scientific Bias
Scientific Bias evaluates the credibility of an author’s claims in a sample advertisement by identifying a potential source of bias.
Curated Video
Identifying Representative Samples
In this video, students learn about the importance of representative samples in making accurate predictions about a population. They are introduced to the concepts of biased and unbiased sampling methods and given examples to understand...
Curated Video
Random Sampling
In this math video we will learn about random sampling that is representative of a population for a survey. Students will identify if a sample of a population is a valid representation. We will learn key vocabulary - population, random...
Curated Video
Sampling limitations
Pupil outcome: I can state the limitations of a sample and the impact of different sample sizes. Key learning points: - A sample can only produce conclusions for that sample. - A different sample may produce different conclusions. - The...
Curated Video
Convenience Sampling: Enhancing the Shopping Experience
In this video, the concept of convenience sampling is explained, focusing on how it can be used to enhance the shopping experience of mall shoppers. The video emphasizes that convenience sampling is a non-probability sampling method and...
Healthcare Triage
Only Tell Me the Good News - Bias in Research Publication
Publication bias is a big problem when it comes to health research. Researchers sometimes use spin or change the outcomes and goals to make their research seem positive, and the citation system in research literature amplifies the...
Curated Video
Testing the Fairness of a Coin: Determining Consistency through Sampling
In this video, the speaker explores how to determine if a coin is fair or biased by taking repeated samples. Using the example of flipping a coin to decide who washes dishes, the speaker explains the concepts of population, sample,...
Curated Video
Taking a Random Sample
In this video, the teacher explains the concept of using a sample to estimate a population parameter. They discuss the difference between a population and a sample, as well as the importance of randomization in selecting a representative...
APMonitor
Imbalanced Data Classification
Imbalanced data is a disproportionate number of data points with discrete labels and can be a big challenge to develop an accurate classifier. A classifier attempts to find the data boundary where one class ends and the other begins....