Podcast
Questions and Answers
What is the purpose of calculating percentiles?
What is the purpose of calculating percentiles?
- To understand the area under the curve
- To identify the rarest bean color
- To determine the mean value
- To find the percent of scores below a given score (correct)
Why is random sampling from a normally distributed population likely to result in a normally distributed sample?
Why is random sampling from a normally distributed population likely to result in a normally distributed sample?
- Due to a biased selection process
- Each individual has an equal chance of being selected (correct)
- No relation exists between population distribution and sample distribution
- Because of an unequal chance for each person to be picked
What is the significance of z-scores in calculating percentiles?
What is the significance of z-scores in calculating percentiles?
- To calculate the mean value of the bean colors
- To determine the color of the beans
- To establish the odds of picking each bean color
- To convert raw scores into a common scale for percentile calculation (correct)
How does the rarity of a bean color change as we move further from the mean?
How does the rarity of a bean color change as we move further from the mean?
Which color bean has the highest percentile ranking?
Which color bean has the highest percentile ranking?
What allows us to calculate percentiles in a distribution?
What allows us to calculate percentiles in a distribution?
What does within subjects variance measure?
What does within subjects variance measure?
Which of the following is true about within group variance?
Which of the following is true about within group variance?
What is the most commonly reported measure of within group variance?
What is the most commonly reported measure of within group variance?
Between subjects variance refers to the variance between:
Between subjects variance refers to the variance between:
What does between subjects variance measure?
What does between subjects variance measure?
What is the formula to convert a z score to a t score?
What is the formula to convert a z score to a t score?
In statistical terms, what does between subjects variance NOT refer to?
In statistical terms, what does between subjects variance NOT refer to?
Which score has a mean of 50 and a standard deviation of 10?
Which score has a mean of 50 and a standard deviation of 10?
What does a T score of 70 indicate?
What does a T score of 70 indicate?
In z scores, what does a mean of 0 indicate?
In z scores, what does a mean of 0 indicate?
Why are T scores easier to explain compared to z scores?
Why are T scores easier to explain compared to z scores?
How can we use multiple z scores on psychologically meaningful measures from the same person?
How can we use multiple z scores on psychologically meaningful measures from the same person?
What type of error occurs when the null hypothesis is actually true but is rejected?
What type of error occurs when the null hypothesis is actually true but is rejected?
When does a type II error occur?
When does a type II error occur?
What does statistical significance indicate about group differences?
What does statistical significance indicate about group differences?
Which error occurs when a statistically significant finding has little practical importance?
Which error occurs when a statistically significant finding has little practical importance?
What is the main reason for discrepancies between statistical and practical significance?
What is the main reason for discrepancies between statistical and practical significance?
Which statistic can quantify the practical significance of a finding?
Which statistic can quantify the practical significance of a finding?
What is the Pearson product-moment correlation coefficient 'r' commonly used for?
What is the Pearson product-moment correlation coefficient 'r' commonly used for?
What does a z score help determine in psychometric tests?
What does a z score help determine in psychometric tests?
Why can inferential statistics never prove that observed differences are not due to chance?
Why can inferential statistics never prove that observed differences are not due to chance?
What is one of the key limitations mentioned regarding statistical tests like the t-test and correlation coefficient?
What is one of the key limitations mentioned regarding statistical tests like the t-test and correlation coefficient?
What characteristic is common between naturally occurring phenomena like IQ and heights, and statistical test results like 'r' correlation coefficient?
What characteristic is common between naturally occurring phenomena like IQ and heights, and statistical test results like 'r' correlation coefficient?
What factor contributes to providing stronger support for the validity of a study?
What factor contributes to providing stronger support for the validity of a study?
