Podcast
Questions and Answers
What is the formula for the range of a distribution?
What is the formula for the range of a distribution?
- Highest value - Lowest value (correct)
- Average distance between each score and the mean
- Difference between two percentiles
- Standard deviation / Mean
Which measure of spread is sensitive to extreme values?
Which measure of spread is sensitive to extreme values?
- Percentile
- Range
- Mode
- Standard deviation (correct)
In the formula for standard deviation, what does 'N' represent?
In the formula for standard deviation, what does 'N' represent?
- Difference between two percentiles
- Sum of scores
- Average distance between each score and the mean
- Number of scores (correct)
What does a z-score of 0 indicate in a normal distribution?
What does a z-score of 0 indicate in a normal distribution?
What does a correlation coefficient of -0.85 indicate about the relationship between two variables?
What does a correlation coefficient of -0.85 indicate about the relationship between two variables?
In multiple regression, what does R^2 represent?
In multiple regression, what does R^2 represent?
What does a scattergram plot in relation to two variables?
What does a scattergram plot in relation to two variables?
Who were the individuals involved in the correspondence on fair division of the stake in an interrupted game of chance?
Who were the individuals involved in the correspondence on fair division of the stake in an interrupted game of chance?
What is the formula for probability in terms of frequency?
What is the formula for probability in terms of frequency?
What type of distribution is the normal (Gaussian) distribution?
What type of distribution is the normal (Gaussian) distribution?
What is the normal (Gaussian) distribution also known as?
What is the normal (Gaussian) distribution also known as?
What does the area under the normal distribution represent?
What does the area under the normal distribution represent?
Who ordered the French troops to spare Gottingen because 'the greatest mathematician of all times is living there'?
Who ordered the French troops to spare Gottingen because 'the greatest mathematician of all times is living there'?
Which sampling technique involves dividing the population into subgroups and then taking a random sample from each subgroup?
Which sampling technique involves dividing the population into subgroups and then taking a random sample from each subgroup?
What influences sample sizes?
What influences sample sizes?
Which type of sampling is often used due to practical limitations and ethical considerations?
Which type of sampling is often used due to practical limitations and ethical considerations?
What do descriptive statistics help manage and interpret?
What do descriptive statistics help manage and interpret?
What are key descriptors for frequency distributions?
What are key descriptors for frequency distributions?
What type of statistics are used to draw inferences from samples to populations?
What type of statistics are used to draw inferences from samples to populations?
What does random (probability) sampling provide the best representation of?
What does random (probability) sampling provide the best representation of?
What can lead to inaccuracies in generalizing findings from a sample to a population?
What can lead to inaccuracies in generalizing findings from a sample to a population?
What can increasing the sample size do in terms of representing the population?
What can increasing the sample size do in terms of representing the population?
What does random sampling not guarantee about the sample?
What does random sampling not guarantee about the sample?
What do repeated random samplings yield closer approximations to?
What do repeated random samplings yield closer approximations to?
What does the mean of the normal distribution approximate with more independent scores?
What does the mean of the normal distribution approximate with more independent scores?
What is the best way to ensure a sample represents a population?
What is the best way to ensure a sample represents a population?
How does increasing the sample size affect its representation of the population?
How does increasing the sample size affect its representation of the population?
What is the impact of sampling bias on generalizing findings?
What is the impact of sampling bias on generalizing findings?
What happens to the mean of a normal distribution with more independent scores?
What happens to the mean of a normal distribution with more independent scores?
What is the effect of repeated random samplings on approximations to the mean?
What is the effect of repeated random samplings on approximations to the mean?
How are outliers in the data determined in relation to the mean and standard deviation?
How are outliers in the data determined in relation to the mean and standard deviation?
Study Notes
Understanding Sampling and the Wisdom of Crowds
- The normal distribution is divided by the mean and standard deviation
- Independent scores often tend towards a normal distribution
- The mean of the normal distribution approximates the true mean with more independent scores
- An ad hoc in-class experiment with 33 independent estimates was conducted
- The data were coded from paper to spreadsheet on a "first come first served" basis
- There were outliers in the data, as determined by the number of standard deviations from the mean
- Sampling is done to represent the population and generalize findings
- Sampling bias can lead to inaccuracies in generalizing findings
- Random (probability) sampling provides the best representation of a population
- Increasing the sample size increases its fidelity to represent the population
- Random sampling does not guarantee that the sample will be representative
- Repeated random samplings yield closer approximations to the mean
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Description
Test your knowledge of sampling and descriptive statistics with this quiz. Explore confidence intervals, different sampling techniques, sample sizes, inferential statistics, non-probability sampling methods, and descriptive statistics. Understand the importance of sample size and the impact of sampling bias on generalizing findings.
