In the context of probability and statistics, what is the main difference between a and a ?
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 of the following best describes the difference between and in probability?
A
is the proportion of times an event occurs out of the total number of trials, while is the sum of frequencies for all values up to and including a certain value.
B
is the total number of occurrences of all events, while is the frequency of a single event.
C
and are two terms for the same concept in probability.
D
is always greater than for any dataset.
Verified step by step guidance1
Step 1: Understand the concept of relative frequency. Relative frequency is calculated as the ratio of the number of times a specific event occurs to the total number of trials or observations. Mathematically, it is expressed as \(\text{Relative Frequency} = \frac{\text{Frequency of event}}{\text{Total number of trials}}\).
Step 2: Understand the concept of cumulative frequency. Cumulative frequency is the running total of frequencies up to and including a particular value or category. It sums all frequencies from the first category up to the current one.
Step 3: Recognize that relative frequency focuses on the proportion of a single event relative to the whole dataset, while cumulative frequency aggregates frequencies across multiple events or categories up to a point.
Step 4: Compare the two definitions to identify the key difference: relative frequency measures the proportion for one event, whereas cumulative frequency measures the total count up to a certain value.
Step 5: Use this understanding to evaluate the given answer choices and select the one that correctly describes relative frequency as a proportion of total trials and cumulative frequency as the sum of frequencies up to a certain value.
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