Suppose you are counting the number of trials needed to get the first success in a sequence of independent trials, where each trial has the same probability of success. Is it appropriate to use the distribution to calculate probabilities in this situation?
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
In the context of basic concepts of probability, how do scientists use when describing risks?
A
They use only to describe events that have already occurred.
B
They use to eliminate all uncertainty from their predictions.
C
They use to quantify the likelihood of an event occurring, allowing them to communicate the level of risk in numerical terms.
D
They use to guarantee that an event will or will not happen.
Verified step by step guidance1
Understand that probability is a measure used to quantify the likelihood of an event occurring, expressed as a number between 0 and 1, where 0 means impossible and 1 means certain.
Recognize that scientists use probability to describe risks by assigning numerical values to the chance that a particular event will happen, which helps in assessing and communicating uncertainty.
Note that probability does not eliminate uncertainty or guarantee outcomes; instead, it provides a way to express how likely an event is based on available data or models.
Realize that using probability to quantify risk allows scientists and decision-makers to make informed choices by comparing the likelihoods of different events and their potential impacts.
Conclude that the correct use of probability in risk description is to communicate the level of risk in numerical terms, rather than to describe only past events or to guarantee outcomes.
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