Which Python module is commonly used to create ? Select one.
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
7. Sampling Distributions & Confidence Intervals: Mean
Introduction to Confidence Intervals
Struggling with Statistics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Which of the following is an example of an independent sample?
A
Comparing the test scores of students from two different schools selected at random
B
Recording the weights of twins to study genetic influence
C
Surveying the same group of people at two different times
D
Measuring the blood pressure of patients before and after taking a medication
Verified step by step guidance1
Understand the concept of independent samples: Independent samples are groups where the observations in one group do not influence or relate to the observations in the other group. Each sample is collected separately without any pairing or matching.
Review each option to identify whether the samples are independent or dependent: Dependent samples involve related or paired observations, such as measurements taken from the same individuals at different times or matched pairs like twins.
Analyze the first option: 'Comparing the test scores of students from two different schools selected at random' involves two separate groups of students with no inherent pairing, making these samples independent.
Analyze the second option: 'Recording the weights of twins to study genetic influence' involves paired data because twins are naturally matched pairs, so this is a dependent sample scenario.
Analyze the third and fourth options: 'Surveying the same group of people at two different times' and 'Measuring the blood pressure of patients before and after taking a medication' both involve repeated measurements on the same individuals, which are dependent samples.
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