Podcast
Questions and Answers
When is the Welch's T-test most appropriate to use?
When is the Welch's T-test most appropriate to use?
- To test if the average customer spending differs from the known population average.
- To compare means from two groups with equal variances and sample sizes.
- To compare means from paired observations.
- To compare means from two groups with unequal variances and/or sample sizes. (correct)
Which statistical test is used to determine if there is a relationship between the country of birth of medical school applicants and acceptance into medical school?
Which statistical test is used to determine if there is a relationship between the country of birth of medical school applicants and acceptance into medical school?
- Mann-Whitney U Test
- Paired T-Test
- Chi-Squared Test (correct)
- Fisher's Exact Test
If you want to predict the likelihood of a binary outcome, such as whether a patient will develop heart disease based on various health factors, which statistical test is most suitable?
If you want to predict the likelihood of a binary outcome, such as whether a patient will develop heart disease based on various health factors, which statistical test is most suitable?
- Pearson's Correlation
- Simple Linear Regression
- Multiple Regression
- Logistic Regression (correct)
Which test would be appropriate if you wanted to compare the average weight of infants before and after a feeding?
Which test would be appropriate if you wanted to compare the average weight of infants before and after a feeding?
What's the primary purpose of using Factor Analysis?
What's the primary purpose of using Factor Analysis?
When should the Mann-Whitney U Test be used?
When should the Mann-Whitney U Test be used?
Which of the following tests is used to compare satisfaction levels across different departments in a company?
Which of the following tests is used to compare satisfaction levels across different departments in a company?
When is it most appropriate to use the Kruskal-Wallis Test?
When is it most appropriate to use the Kruskal-Wallis Test?
A researcher wants to assess the relationship between education level and income without assuming a linear relationship. Which test is appropriate?
A researcher wants to assess the relationship between education level and income without assuming a linear relationship. Which test is appropriate?
Which statistical test is designed to model the linear relationship between two variables?
Which statistical test is designed to model the linear relationship between two variables?
A study aims to determine how age, body fat, and sodium intake influence blood pressure. Which statistical test is most suitable for this analysis?
A study aims to determine how age, body fat, and sodium intake influence blood pressure. Which statistical test is most suitable for this analysis?
When would you use a Z-test rather than a T-test?
When would you use a Z-test rather than a T-test?
In what scenario is Fisher's Exact Test most applicable?
In what scenario is Fisher's Exact Test most applicable?
Which of the following tests is a non-parametric test used for correlation?
Which of the following tests is a non-parametric test used for correlation?
What type of analysis would be used to summarize the average age and standard deviation of students in a class?
What type of analysis would be used to summarize the average age and standard deviation of students in a class?
A researcher is analyzing customer satisfaction scores between two product lines. Which statistical test is most appropriate for this analysis?
A researcher is analyzing customer satisfaction scores between two product lines. Which statistical test is most appropriate for this analysis?
A researcher wants to determine if plasma glucose level differs at one, two, or three hours after a meal. Which statistical test should they use?
A researcher wants to determine if plasma glucose level differs at one, two, or three hours after a meal. Which statistical test should they use?
Which statistical test could be used to compare girls' heights with boys' heights?
Which statistical test could be used to compare girls' heights with boys' heights?
If you have test scores from two classes with different sizes and unequal variances, which test is most appropriate to compare the scores?
If you have test scores from two classes with different sizes and unequal variances, which test is most appropriate to compare the scores?
Which test would be appropriate to determine if a new drug is effective in a small clinical trial?
Which test would be appropriate to determine if a new drug is effective in a small clinical trial?
Flashcards
Descriptive Statistics
Descriptive Statistics
Summarizes dataset features, providing measures of central tendency and variability.
Z-Test
Z-Test
Compares a sample mean to a known population mean when the population variance is known and samples are large.
T-Test (Student's)
T-Test (Student's)
Compares means from two groups with smaller samples and unknown population variance.
Paired T-Test
Paired T-Test
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Welch's T-Test
Welch's T-Test
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Chi-Squared Test
Chi-Squared Test
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Fisher's Exact Test
Fisher's Exact Test
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Mann-Whitney U Test
Mann-Whitney U Test
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ANOVA
ANOVA
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Kruskal-Wallis Test
Kruskal-Wallis Test
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Pearson's Correlation
Pearson's Correlation
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Spearman's Rank Correlation
Spearman's Rank Correlation
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Simple Linear Regression
Simple Linear Regression
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Multiple Regression
Multiple Regression
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Logistic Regression
Logistic Regression
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Factor Analysis
Factor Analysis
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Study Notes
- Statistical tests are tools used to analyze data and draw conclusions.
Descriptive Statistics
- Used to summarize dataset features
- Provides measures of central tendency and variability
- Example: Calculating average age and standard deviation of students in a class
Z-Test
- Used with large samples and known population variance
- Compares a sample mean to a known population mean
- Example: Testing if average customer spending differs from the known population average
T-Test (Student's)
- Used with smaller samples and unknown population variance
- Compares means from two groups
- Example: Comparing girls' heights with boys' heights
Paired T-Test
- Used when comparing two related samples
- Assesses the difference in means between paired observations
- Example: Comparing the weight of infants before and after a feed
Welch's T-Test
- Used when there are unequal variances and/or sample sizes
- T-test adaptation for unequal variances
- Example: Comparing test scores between two classes with different sizes
Chi-Squared Test
- Used for categorical data analysis
- Tests the association between categorical variables
- Example: Assessing whether acceptance into medical school is related to an applicant's country of birth
Fisher's Exact Test
- Used with small samples and 2x2 contingency tables
- Tests the association between classifications
- Example: Analyzing if a new drug is effective in a small clinical trial
Mann-Whitney U Test
- A non-parametric test for two groups
- Compares two independent groups
- Example: Comparing customer satisfaction scores between two product lines
ANOVA
- Used when comparing means of 3+ groups
- Analyzes variance between multiple groups
- Example: Determining if plasma glucose level differs at one, two, or three hours after a meal
Kruskal-Wallis Test
- A non-parametric alternative to ANOVA
- Compares 3+ independent samples
- Example: Comparing satisfaction levels across different departments in a company
Pearson's Correlation
- Used for measuring the association between variables
- Assesses linear relationship strength
- Example: Assessing whether plasma HbA1 concentration is related to plasma triglyceride concentration in diabetic patients
Spearman's Rank Correlation
- A non-parametric correlation method
- Measures monotonic relationship strength
- Example: Analyzing the relationship between education level and income
Simple Linear Regression
- Used to find the relationship between two variables
- Models linear relationship between variables
- Example: Seeing how peak expiratory flow rate varies with height
Multiple Regression
- Used with one dependent and multiple independent variables
- Predicts dependent variable from multiple predictors
- Example: Determining how age, body fat, and sodium intake influence blood pressure
Logistic Regression
- Used with a binary dependent variable
- Predicts the probability of a binary outcome
- Example: Predicting the likelihood of heart disease based on various health factors
Factor Analysis
- Used for identifying underlying factors
- Reduces variables to a smaller set of factors
- Example: Identifying underlying personality traits from a set of survey questions
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