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Introductory Statistics
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Independence Test Using TI-84 definitions
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Chi-square Test
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Chi-square Test
Statistical method comparing observed and expected frequencies in categorical data to assess variable relationships.
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Independence Test Using TI-84 quiz
Independence Test Using TI-84
15 용어
13. Chi-Square Tests & Goodness of Fit
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5 문제점
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Independence Test Using TI-84 Example 1
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Independence Test Using TI-84 Example 2
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Independence Test Using TI-84
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이 집합의 용어 (15)
하이드의 정의
Chi-square Test
Statistical method comparing observed and expected frequencies in categorical data to assess variable relationships.
Independence Test
Procedure evaluating whether two categorical variables are unrelated using contingency tables and statistical analysis.
TI-84
Graphing calculator model equipped with functions for statistical tests, including matrix operations and chi-square analysis.
Matrix
Rectangular array used to organize and input categorical data for statistical calculations on a calculator.
Observed Frequency
Actual count of occurrences recorded in each cell of a contingency table during a study.
Expected Frequency
Calculated value predicting how often an outcome should occur if variables are independent.
Null Hypothesis
Assumption stating variables have no association, serving as the default claim in statistical tests.
Alternative Hypothesis
Statement proposing a relationship or dependence between variables, tested against the null claim.
P-value
Probability measure indicating the strength of evidence against the null hypothesis in statistical testing.
Significance Level
Threshold, often denoted as alpha, used to determine whether to reject the null hypothesis based on p-value.
Contingency Table
Grid organizing categorical data to display frequencies for combinations of variable categories.
Homogeneity Test
Statistical procedure comparing distributions across groups to assess if they share the same proportions.
Stat Button
Calculator key providing access to statistical functions, including test menus for hypothesis testing.
Hypothesis
Proposed explanation or claim about variable relationships, forming the basis for statistical testing.
Alpha
Preset probability threshold, commonly 0.05, guiding decisions on statistical significance in hypothesis tests.