Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 3m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample1h 1m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
1. Intro to Stats and Collecting Data
Intro to Stats
Problem 1.RE.5d
Textbook Question
Sampling For each of the following, identify the term that best describes the type of sample: systematic, convenience, stratified, cluster, or simple random sample.
d. A statistics student creates a survey and presents it to fellow statistics students.

1
Understand the different types of sampling methods: systematic, convenience, stratified, cluster, and simple random sampling.
Systematic sampling involves selecting every nth individual from a list or sequence. Convenience sampling involves selecting individuals who are easiest to reach. Stratified sampling involves dividing the population into subgroups and sampling from each subgroup. Cluster sampling involves dividing the population into clusters and randomly selecting entire clusters. Simple random sampling involves selecting individuals randomly from the entire population.
Analyze the scenario: A statistics student creates a survey and presents it to fellow statistics students.
Consider the characteristics of the sample: The sample consists of fellow statistics students who are easily accessible to the student conducting the survey.
Determine the type of sampling method used: Since the sample is based on ease of access and not on a random or structured method, this is an example of convenience sampling.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Convenience Sampling
Convenience sampling is a non-probability sampling technique where samples are selected based on their easy availability and proximity to the researcher. This method is often used when quick and inexpensive data collection is needed, but it may not represent the entire population accurately, leading to potential biases.
Recommended video:
Sampling Distribution of Sample Proportion
Sampling Bias
Sampling bias occurs when certain members of a population are more likely to be included in a sample than others, leading to a sample that is not representative of the population. In convenience sampling, the ease of access to certain groups can result in sampling bias, affecting the validity and generalizability of the survey results.
Recommended video:
Sampling Distribution of Sample Proportion
Population and Sample
In statistics, the population refers to the entire group of individuals or instances about whom we seek to draw conclusions, while a sample is a subset of the population selected for analysis. Understanding the relationship between a sample and its population is crucial for making inferences and ensuring that the sample accurately reflects the population's characteristics.
Recommended video:
Sampling Distribution of Sample Proportion
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