In probability theory, what is the main difference between an and an ?
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 is not a characteristic of the test?
A
It is appropriate for small sample sizes.
B
It is only used for categorical data.
C
It assumes the data are normally distributed.
D
It is used when the population standard deviation is unknown.
Verified step by step guidance1
Step 1: Understand the purpose of the t-test. The t-test is a statistical test used to compare the means of two groups, especially when the sample size is small and the population standard deviation is unknown.
Step 2: Review the assumptions of the t-test. These include: (a) the data should be approximately normally distributed, and (b) the samples are independent.
Step 3: Recognize that the t-test is used for continuous numerical data, not categorical data. Categorical data typically require different tests, such as the chi-square test.
Step 4: Analyze each statement given: (a) 'It is appropriate for small sample sizes' is true; (b) 'It assumes the data are normally distributed' is true; (c) 'It is used when the population standard deviation is unknown' is true; (d) 'It is only used for categorical data' is false because the t-test is not designed for categorical data.
Step 5: Conclude that the statement 'It is only used for categorical data' is not a characteristic of the t-test, making it the correct answer to the question.
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