A quality control manager wants to see how many defective products come off the line on average per day. They select every tenth unit produced on the line and inspect it to see if it is 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
Struggling with Statistics for Business?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
A store is interested in whether they should adjust their store hours, so they choose a random day to poll all people entering the shop and ask them if they would prefer the store to change their hours. Is this a simple random sample? Can we assume this is a representative sample?
A
Yes; Yes
B
Yes; No
C
No; Yes
D
No; No
Verified step by step guidance1
Understand the concept 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. In this case, the store is polling only people who enter the shop on a single random day, which excludes individuals who do not visit the store that day. This means it is not a simple random sample.
Evaluate whether the sample is representative: A representative sample accurately reflects the characteristics of the entire population. Since the sample only includes people who visit the store on a specific day, it may not represent the preferences of all customers, such as those who visit on other days or do not visit frequently.
Conclude whether the sample is a simple random sample: Based on the definition, this is not a simple random sample because not all individuals in the population (all customers) had an equal chance of being included.
Conclude whether the sample is representative: The sample is not representative because it is biased toward the preferences of customers who visited the store on that specific day, potentially excluding other customer groups.
Summarize the answer: The correct response is 'No; No' because the sample is neither a simple random sample nor a representative sample.
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Sampling Methods practice set

