In the context of probability and statistics, what does it mean for a sociologist to control for a variable when analyzing data?
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
4. Probability
Basic Concepts of Probability
Struggling with Statistics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Suppose the probability density function is given by for and otherwise. What is the probability that is between and ?
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Verified step by step guidance1
Identify the probability density function (pdf) given: \(f(x) = \frac{1}{2}\) for \$0 \leq x \leq 2\(, and \)f(x) = 0$ otherwise.
Understand that the probability that \(x\) lies between two values \(a\) and \(b\) is found by integrating the pdf over that interval: \(P(a \leq x \leq b) = \int_a^b f(x) \, dx\).
Set the limits of integration according to the problem: since we want \(P(1 \leq x \leq 3)\), but the pdf is zero for \(x > 2\), adjust the upper limit to 2, so the integral becomes \(\int_1^2 \frac{1}{2} \, dx\).
Perform the integration: \(\int_1^2 \frac{1}{2} \, dx = \frac{1}{2} \times (2 - 1)\).
Interpret the result of the integral as the probability that \(x\) is between 1 and 3, noting that values beyond 2 contribute zero probability.
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