Module 8 Flashcards
What does a single sample t-test evaluate?
- whether the mean of your sample is different from some reference value
What does a paired sample t test evaluate?
whether the difference in paired data is different from some reference value
What does a two sample t test evaluate?
whether the means of two groups are different from each other
What are the four steps for conducting a single sample t test?
- define the null and alternative hypothesis
- establish the null distribution
- conduct the statistical test
- draw scientific conclusions
What are the null and alternative distributions for a single sample t test?
are statements about how your sample mean related to the reference value
m=sample mean
u=reference value
if no directionality:
m=a (Ho)
m does not equal u (Ha)
if there is directionality
m>/=u or m</=u (Ho)
m>u or m<a (Ha)
How do you establish the null distribution for a single sample t test?
sampling from a statistical population that had a mean given by the reference (u) value, is a t distribution
How do you create a statistical test for a single sample t test?
- done by comparing the Type I error (a) against the p value (p)
If the p-value is less that the Type I error rate (p<⍺), then we reject the null hypothesis.
If the p-value is greater than or equal to the Type I error rate (p≥⍺), then we fail to reject the null hypothesis.
How do you draw scientific conclusions for a single sample t test? What should it include.
Should include
* the sample mean and standard deviation
* the observed t score (two decimal places)
* degrees of freedom
* p value (three decimal places)
What are paired sample t tests designed to look at?
how sampling units change accross a factor. to accomplish this, two measurements are taken from each sampling unit; they may be taken at two points in time, or taken from two locations
THE TWO MEASUREMENTS COME FROM THE SAME SAMPLING UNIT
What are the four steps to conducting a paired sample t test?
- define the null and alternative hypothesis
- establish the null distribution
- conduct the statistical test
- draw scientific conclusions
What are the null and alternative hypothesis’ for a paired sample t test?
- statements about how the difference between the paired measurements is related to the reference value
- difference between the measurements: d
- reference value: u
- difference is calculated: d=x2-x1
- x2: measurement including the factor of interest
- x1=the measurement without the factor
Null and alternative hypothesis for paired sample t test if no directionality?
H0: d=μ
HA: d≠μ
Null and alternative hypothesis for paired sample t test if there is directionality?
H0: d≤μ (or d≥μ)
HA: d>μ (or d<μ)
How do you establish the null distribution for a paired sample t test?
sampling from a statistical population where the true difference between the paired measurements was given by the reference value (u). a t-distribution
How do you find the degrees of freedom for a paired sample t test?
df=n-1
n=the number of differences/sampling units