Podcast
Questions and Answers
What is the purpose of descriptive statistics?
What is the purpose of descriptive statistics?
- Describing a phenomena (correct)
- Proving or disproving theories
- Predicting future outcomes
- Associations between phenomena
Which type of statistics is used with categorical (nominal) data?
Which type of statistics is used with categorical (nominal) data?
- Means & standard deviations
- T-tests
- Frequencies & percentages (correct)
- Correlation
What does inferential statistics involve?
What does inferential statistics involve?
- Describing a phenomena
- Predicting future outcomes
- Presenting basic measurements
- Making inferences about a phenomena (correct)
What measurements are typically presented using descriptive statistics?
What measurements are typically presented using descriptive statistics?
What is the main purpose of logistic regression in statistics?
What is the main purpose of logistic regression in statistics?
Which type of statistics is used for hypothesis testing?
Which type of statistics is used for hypothesis testing?
What type of data can be displayed using a pie chart or frequency distributions table?
What type of data can be displayed using a pie chart or frequency distributions table?
Inferential statistics use a sample of data to make predictions about larger populations or about unobserved/future trends. Which of the following is an example of inferential statistics tool?
Inferential statistics use a sample of data to make predictions about larger populations or about unobserved/future trends. Which of the following is an example of inferential statistics tool?
What type of data can be converted into categorical data by grouping values together and then calculating frequencies and percentages for each group?
What type of data can be converted into categorical data by grouping values together and then calculating frequencies and percentages for each group?
What type of data is often normally distributed and forms a 'bell shaped' curve?
What type of data is often normally distributed and forms a 'bell shaped' curve?
Which statistical tool is used when you want to know about the association or relationship between two continuous variables?
Which statistical tool is used when you want to know about the association or relationship between two continuous variables?
What does the correlation coefficient (Pearson’s r) range from?
What does the correlation coefficient (Pearson’s r) range from?
What are the three basic categories of measures in descriptive statistics?
What are the three basic categories of measures in descriptive statistics?
What are the two types of numerical variables in statistics?
What are the two types of numerical variables in statistics?
What is the purpose of logistic regression in statistics?
What is the purpose of logistic regression in statistics?
What type of statistics is used for hypothesis testing?
What type of statistics is used for hypothesis testing?
When is bivariate analysis used in statistics?
When is bivariate analysis used in statistics?
What are the two types of categorical variables in statistics?
What are the two types of categorical variables in statistics?
What is the most frequently occurring value in a dataset called?
What is the most frequently occurring value in a dataset called?
What is the middle value when the data are ordered from low to high?
What is the middle value when the data are ordered from low to high?
What is the mean calculated on the data set with the top 5% and bottom 5% of values removed?
What is the mean calculated on the data set with the top 5% and bottom 5% of values removed?
What is the indication of the expected error when estimating the population mean?
What is the indication of the expected error when estimating the population mean?
What is the measure of the average value of the data set?
What is the measure of the average value of the data set?
Which measure of central tendency is suitable for nominal data and above?
Which measure of central tendency is suitable for nominal data and above?
In which type of data is the median suitable?
In which type of data is the median suitable?
What makes the 5 percent trimmed mean more resistant to outliers than the mean?
What makes the 5 percent trimmed mean more resistant to outliers than the mean?
For which type of data is the mean only truly applicable?
For which type of data is the mean only truly applicable?
What is the middle value when the data are ranked in ascending order?
What is the middle value when the data are ranked in ascending order?
Study Notes
Descriptive Statistics
- The purpose of descriptive statistics is to summarize and describe the basic features of a dataset.
- Descriptive statistics typically present measurements such as mean, median, mode, and range.
Types of Data
- Categorical (nominal) data is analyzed using non-parametric statistics.
- Numerical variables in statistics are categorized into two types: discrete and continuous.
- Categorical variables in statistics are categorized into two types: nominal and ordinal.
Inferential Statistics
- Inferential statistics involves using a sample of data to make predictions about larger populations or about unobserved/future trends.
- Inferential statistics tools include logistic regression.
- Inferential statistics is used for hypothesis testing.
Data Analysis
- Bivariate analysis is used when you want to know about the association or relationship between two continuous variables.
- Pearson's r correlation coefficient ranges from -1 to 1.
- Pie charts and frequency distributions tables are used to display categorical data.
- Continuous data can be converted into categorical data by grouping values together and then calculating frequencies and percentages for each group.
- Normally distributed data often forms a 'bell-shaped' curve.
Measures of Central Tendency
- The three basic categories of measures in descriptive statistics are measures of central tendency, measures of variability, and data distribution.
- The mean is a measure of the average value of the data set.
- The median is the middle value when the data are ordered from low to high.
- The mode is the most frequently occurring value in a dataset.
- The trimmed mean is more resistant to outliers than the mean because it excludes the top 5% and bottom 5% of values.
- The median is suitable for ordinal data and above.
- The mean is only truly applicable for continuous data.
Standard Error
- The standard error is an indication of the expected error when estimating the population mean.
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Description
This quiz covers topics related to research methods and statistics, including descriptive statistics, inferential statistics, correlation, t-tests, chi-square, logistic regression, frequencies, percentages, means, standard deviations, hypothesis testing, confidence intervals, significance testing, and prediction.
