A quality control manager wants to see how many defective products come off the line on average per day. They take 10 random units produced over the course of the day from each of 10 machines to test if they are defective. What type of sampling method is this?
Table of contents
- 1. Introduction to Statistics53m
- 2. Describing Data with Tables and Graphs2h 1m
- 3. Describing Data Numerically2h 8m
- 4. Probability2h 26m
- 5. Binomial Distribution & Discrete Random Variables3h 28m
- 6. Normal Distribution & Continuous Random Variables2h 21m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 37m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals22m
- Confidence Intervals for Population Mean1h 26m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 33m
- 9. Hypothesis Testing for One Sample3h 32m
- 10. Hypothesis Testing for Two Samples4h 49m
- Two Proportions1h 12m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 2m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression1h 59m
- 13. Chi-Square Tests & Goodness of Fit2h 31m
- 14. ANOVA2h 1m
1. Introduction to Statistics
Sampling Methods
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
A regional manager runs the day-to-day operations of three branches of a chain restaurant. Each location is roughly the same size and employs approximately the same number of workers. The manager is interested in streamlining policies across each location, so he decides to survey 10 random employees in each branch about certain processes. Is this a simple random sample? Is it a representative sample?
A
Yes; Yes
B
Yes; No
C
No; Yes
D
No; No
Verified step by step guidance1
Step 1: Understand the definition of a simple random sample. A simple random sample is one in which every individual in the population has an equal chance of being selected, and the selection of one individual does not influence the selection of another.
Step 2: Analyze the sampling method described in the problem. The manager surveys 10 random employees from each branch. This means the population is divided into three groups (branches), and a random sample is taken from each group. This is known as stratified sampling, not simple random sampling.
Step 3: Understand the concept of a representative sample. A representative sample accurately reflects the characteristics of the population. Since the manager is sampling employees from all three branches, the sample is likely to represent the population of employees across the branches.
Step 4: Evaluate the first part of the question: 'Is this a simple random sample?' Based on the definition of simple random sampling, the answer is 'No' because the sampling method used is stratified sampling.
Step 5: Evaluate the second part of the question: 'Is it a representative sample?' Since the sample includes employees from all three branches, it is likely to be representative of the population. Therefore, the answer is 'Yes.'
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