1. Which statement is incorrect about how we measure reliability?
- One of the characteristics affecting this measure is sample size, the bigger the sample size the more confident we are so there is less unreliability
- Unreliability is not proportional to the sample standard deviation divided by the sample size
- Unreliability= sqrt(variance/N) which is known as the Standard Error of the mean
- The variability of the data, because the more variable the data is the less confident we are so there is more unreliability
- We actual measure it through unreliability
- The sample size is square rooted, and because standard deviation is the square root of variance so they are both square rooted.
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Other questions in this quiz
2. Which is not a difference between chart coloumns and histograms?
- The both contains plotting points against axis y and z
- There are no gaps between the columns in histograms but there are in column charts. This is a convention that you should follow.
- The columns in a histogram do not show sample means, but counts of data within the specified ranges. Therefore they do not have error bars.
3. What is known as an outlier?
- If a dataset is more than the IQR up or below
- If a dataset is less than the IQR up or below
- If a dataset is within the IQR
- If a dataset is within 25% to 75% of the IQR
4. Which is not a rule of thumb?
- That two means differ significantly if they are further apart than twice the larger standard error
- That two standard deviations differ significantly if each one lies outside the CI of the other
- That two means differ significantly if each mean lies outside the confidence interval of the other one.
5. Definition of variability
- A value that lies within the values
- All different values
- A typical value
- When cannot measure a value perfectly so automatically introduces uncertainty