Which of the following is not a voluntary response sample?
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- 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 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- 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 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
8. Sampling Distributions & Confidence Intervals: Proportion
Sampling Distribution of Sample Proportion
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Alice collected data at the same time and place every day for two weeks. Her data may not be representative of the population because it may not be:
A
large enough in sample size
B
measured with a valid instrument
C
normally distributed
D
randomly sampled
Verified step by step guidance1
Understand the concept of representativeness in sampling: A sample is representative of a population if it accurately reflects the characteristics of that population.
Identify the key factor that affects representativeness: Random sampling ensures that every member of the population has an equal chance of being selected, which helps avoid bias.
Analyze the given scenario: Alice collected data at the same time and place every day for two weeks, which means the sample is not randomly selected but rather systematically chosen.
Recognize why the other options are less relevant: Sample size, measurement validity, and distribution shape affect data quality and analysis but do not directly address representativeness due to sampling method.
Conclude that the main reason the data may not be representative is because it was not randomly sampled, which can introduce bias and limit generalizability.
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Sampling Distribution of Sample Proportion practice set

