Which of the following best describes the likelihood that a given event will occur?
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
Which measurement level best describes the variable ?
A
B
C
D
Verified step by step guidance1
Understand the four common measurement levels: Nominal, Ordinal, Interval, and Ratio. Each level has specific characteristics regarding the type of data and the operations that can be performed on it.
Nominal level classifies data into distinct categories without any order (e.g., colors, names). Ordinal level involves categories with a meaningful order but without consistent differences between categories (e.g., rankings).
Interval level has ordered categories with meaningful and consistent differences between values, but it lacks a true zero point (e.g., temperature in degrees Celsius or Fahrenheit).
Ratio level has all the properties of the interval level, but also includes a true zero point, allowing for meaningful ratios (e.g., height, weight, age).
Since temperature in degrees Celsius has meaningful differences between values but no true zero (0°C does not mean 'no temperature'), it fits the Interval level of measurement.
Watch next
Master Introduction to Probability with a bite sized video explanation from Patrick
Start learningRelated Videos
Related Practice
Multiple Choice
9
views
Basic Concepts of Probability practice set

