1/15
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai | Chat |
|---|
No analytics yet
Send a link to your students to track their progress
Sampling Distribution
the plotted distribution of a sample statistic across many samples
Central Limit Theorem
If repeated independent random samples of size N are drawn from a population, then as N grows large, the sampling distribution of sample means becomes approximately normal
Standard Error
the standard deviation of the sampling distribution
z-score
tells you how many standard deviations a value sits from the mean
Point Estimate
the best guess of our parameter value
confidence interval
a set of numbers around the point estimate that we believe the true parameter exists
Confidence Level
The probability the confidence interval produces an interval that contains the parameter (usually 95%)
df
the number of values in the final calculation of a statistic that are free to vary (n-1)
t-distribution
a probability distribution used to estimate population parameters when sample sizes are small and the population standard deviation is unknown
null hypothesis
States there is no effect or relationship between variables; any observed difference is put down to chance
p-value
the probability of obtaining results at least as extreme as those observed, assuming the null hypothesis is true.
t-statistic
a standardized value that quantifies the difference between an observed result and a reference value (often the null hypothesis) relative to the variability in the data
t-test
used to determine whether the means of two groups are significantly different from each other
when to use t-statistic
smaller samples; standard deviation is unknown; when you want to compare the mean of one sample to a known value or the means of exactly two groups; standard error is unknown, so a penalty in df is used
when to use a z-statistic
larger sample sizes; standard deviation is known; when comparing sample mean to population; when comparing sample mean of exactly 2 groups; assesses difference in proportions; SE has a set range of possibilities
Wider distribution
smaller sample gets in t-statistic