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These flashcards cover key concepts from the lecture about the use and misuse of statistics in decision making.
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Statistics is the science of __________, describing, and analyzing data.
collecting
Theoretical probability starts with a __________ model.
known
A population is a well-defined collection of __________ constituting a subject of interest.
objects
A sample is a __________ of the population selected in some prescribed manner.
subset
Descriptive statistics involves charts, graphs, and __________ summaries.
numerical
The median is more resistant to __________ than the mean.
outliers
The __________ measures how much the data varies around the centre.
spread
A confidence interval provides a __________ of plausible values for an unknown population parameter.
range
The aim of hypothesis testing is to determine whether the observed data is __________ under the null hypothesis.
unlikely
In hypothesis testing, the null hypothesis (H0) claims that there is __________ or no difference.
no effect
The p-value represents the probability of obtaining a sample statistic as or more __________ than the observed sample if the null hypothesis is true.
extreme
Statistical results can be misleading due to __________ or inconsistent axes in graphs.
truncated
Sampling bias occurs when the method of selecting a sample causes it to differ from the population in a __________ way.
relevant
To estimate the proportion of fivers among USYD students, we need to compute a __________ from our sample.
sample proportion
A common measure of spread is the __________, which is the difference between the maximum and minimum values of a dataset.
range