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Goodness of FIt Test Using TI-84 definitions
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Goodness-of-Fit Test
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Goodness-of-Fit Test
Statistical procedure comparing observed frequencies to expected frequencies based on a claimed distribution.
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Termini in questo insieme (15)
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Goodness-of-Fit Test
Statistical procedure comparing observed frequencies to expected frequencies based on a claimed distribution.
TI-84
Graphing calculator model used to perform statistical tests, including the chi-square goodness-of-fit test.
Observed Frequencies
Actual counts collected from a sample for each category in a statistical study.
Expected Values
Calculated counts for each category assuming the claim distribution is true, often using sample size and number of categories.
Claim Distribution
Hypothesized allocation of frequencies across categories, used as a basis for comparison in statistical tests.
Null Hypothesis
Assumption that observed frequencies match the claim distribution, serving as the default position in statistical testing.
Alternative Hypothesis
Statement suggesting observed frequencies differ from the claim distribution, opposing the null hypothesis.
Significance Level
Threshold probability, often denoted as alpha, used to determine whether to reject the null hypothesis.
Degrees of Freedom
Value calculated as the number of categories minus one, influencing the shape of the chi-square distribution.
Chi-Square Statistic
Numerical value measuring the discrepancy between observed and expected frequencies in a goodness-of-fit test.
P-Value
Probability indicating how likely observed data would occur if the null hypothesis were true; compared to alpha for decision-making.
Contribution Values
Individual category values showing how much each observed frequency adds to the overall chi-square statistic.
Alpha
Symbol representing the significance level, commonly set at 0.05 in hypothesis testing.
Stat Button
TI-84 calculator key used to access statistical functions and data entry menus.
Chi-Square GOF Test Function
TI-84 menu option for performing the goodness-of-fit test, specifically comparing observed and expected frequencies.