Podcast
Questions and Answers
Which of the following must be met for all confidence intervals?
Which of the following must be met for all confidence intervals?
When do you use the Success/Failure for the 3rd condition?
When do you use the Success/Failure for the 3rd condition?
Categorical Variables
What condition do you need 5 of?
What condition do you need 5 of?
Expected Cell Count
When doing the hypothesis test on the mean, which is a condition that must be met?
When doing the hypothesis test on the mean, which is a condition that must be met?
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What must be met for all quantitative data (means) tests and intervals?
What must be met for all quantitative data (means) tests and intervals?
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What must be met for the chi-square test of independence?
What must be met for the chi-square test of independence?
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On JMP what do you look at to determine the p-value?
On JMP what do you look at to determine the p-value?
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What is the smallest Chi-Square value you can get?
What is the smallest Chi-Square value you can get?
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What is the relationship regarding Chi-Square and the P-value?
What is the relationship regarding Chi-Square and the P-value?
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When the p-value is lower than the alpha (0.05)...
When the p-value is lower than the alpha (0.05)...
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When the p-value is higher than the alpha (0.05)...
When the p-value is higher than the alpha (0.05)...
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If we reject the null we...
If we reject the null we...
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If we fail to reject the null we....
If we fail to reject the null we....
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If the p-value is high we...
If the p-value is high we...
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What is a Type 1 error?
What is a Type 1 error?
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What is a Type 2 error?
What is a Type 2 error?
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What is an example of a Type 2 Error?
What is an example of a Type 2 Error?
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What is an example of a Type 1 Error?
What is an example of a Type 1 Error?
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What are the three things that control power?
What are the three things that control power?
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What is the equation to find Power?
What is the equation to find Power?
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To test the mean we use a sample size of 98, a standard deviation of 2 and a mean of 3. Find the Degrees of Freedom.
To test the mean we use a sample size of 98, a standard deviation of 2 and a mean of 3. Find the Degrees of Freedom.
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How do you find the Degrees of Freedom for a one-sample-t?
How do you find the Degrees of Freedom for a one-sample-t?
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How do you find the Degrees of Freedom for a two-sample-t?
How do you find the Degrees of Freedom for a two-sample-t?
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How do you find the Degrees of Freedom for a Chi-squared?
How do you find the Degrees of Freedom for a Chi-squared?
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What are the three conditions for the confidence interval for the difference between two means?
What are the three conditions for the confidence interval for the difference between two means?
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When doing the two-sample T-test the variables will be...
When doing the two-sample T-test the variables will be...
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What are some ways to check for the nearly normal condition?
What are some ways to check for the nearly normal condition?
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What is not a way to check for the nearly normal condition?
What is not a way to check for the nearly normal condition?
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A researcher wants to examine the true GPA of students at UTK. What type of test will they use?
A researcher wants to examine the true GPA of students at UTK. What type of test will they use?
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To examine the differences between GPAs of students and if they own a dog, what type of test will they use?
To examine the differences between GPAs of students and if they own a dog, what type of test will they use?
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While attending UT, people find a favorite place to eat? Favorite restaurant vs. year at UT? What test would we use?
While attending UT, people find a favorite place to eat? Favorite restaurant vs. year at UT? What test would we use?
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What is NOT an example of a valid alternative hypothesis?
What is NOT an example of a valid alternative hypothesis?
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What is an example of a valid alternative hypothesis?
What is an example of a valid alternative hypothesis?
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Study Notes
Confidence Intervals
- Must satisfy randomness and the less than 10% condition.
- For categorical variables, utilize the success/failure condition.
Chi-Square Tests
- Require count data and expected cell counts.
- To assess p-value in JMP, check Prob>ChiSq.
- The smallest Chi-Square value achievable is zero.
Hypothesis Testing
- Conduct hypothesis test on the mean requires the nearly normal condition.
- For all quantitative data (means) tests and intervals, the nearly normal condition is necessary.
- When the p-value is below alpha (0.05), reject the null hypothesis, indicating evidence.
- If the p-value is above alpha, fail to reject the null, signifying lack of evidence.
- A high p-value suggests to "let it fly."
Types of Errors
- Type 1 error occurs when the null hypothesis is true, but it is rejected.
- Type 2 error happens when the null hypothesis is false, yet it is not rejected.
- Practical examples: Type 1 - mistakenly identifying a harmless object as dangerous; Type 2 - not removing a potentially hazardous tree that eventually falls.
Power of a Test
- Power is influenced by sample size, alpha level, and effect size.
- Equation for power calculation: Power = 1 - Beta.
Degrees of Freedom
- For one-sample t-test: calculated as N - 1.
- For two-sample t-test: determination is complex.
- For Chi-squared test: calculated with the formula (rows - 1)(columns - 1).
Two-Sample T-Test
- Conditions for confidence interval: independent means, nearly normal distribution, and success/failure condition should be fulfilled.
- Tests involve comparing categorical and quantitative variables.
Normality Check
- Checking nearly normal condition can be done through Normal Probability Plots, histograms, and goodness of fit tests.
- A common misconception is that having degrees of freedom greater than 10 ensures normality.
Specific Tests for GPA
- One Sample T-Test is appropriate for examining true GPA of students.
- A Two Sample T-Test is suitable for comparing GPAs between students with and without dogs.
- Chi-Squared Test is utilized for associations (e.g., favorite restaurant vs. year at UT).
Alternative Hypotheses
- Valid examples include p ≠ 0.36, p > 0.36, or estimations involving p.
- Invalid alternative hypotheses would state specific probabilities like p = 0.36.
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Description
Test your knowledge in statistics with these flashcards designed for the Stat 201 UTK Final Exam. Cover essential concepts such as confidence intervals, conditions for hypothesis testing, and more. Ideal for students looking to review key statistical principles before the exam.