1/15
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced |
---|
No study sessions yet.
P Value
The probability of _______ results at least as ________ as the ________ results, under the assumption that the null hypothesis is true.
Obtaining, extreme, observed
P value < 0.05
What do we do with the null hypothesis?
Is it statistically significant?
Laymans explanation
NULL = “NO DIFFERENCE”
P < 0.05 = “REJECT THE NULL HYPOTHESIS” (EVIDENCE AGAINST IT)
the observed results are statistically significant
There is likely a difference or assocaition in the population
Unlikely due to random chance
P value > 0.05
What do you do with the null hypothesis?
Is it statistically significant?
Laymans exxplanation
A P value greater than 0.05.
“FAIL TO REJECT THE NULL HYPOTHESIS” ( indicates insufficient evidence to reject the null hypothesis),
The observed results are not statistically significant. “COULD BE DUE TO CHANCE”
“WE DO NOT ACCEPT ANYTHING”
“WE ONLY REJECT THE NULL HYPOTHESIS OR FAIL TO REJECT THE NULL HYPOTHESIS”
Null hypothesis
Starting statement: The null hypothesis is a statement that there is no effect, no difference, or no association between variables in a population.
“NO DIFFERENCE BETWEEN THE GROUPS A AND B”
“THE INTERVENTION HAS NO EFFECT ON OUTCOMES”
“THERE IS NO ASSOCIATION BETWEEN A AND B”
Confidence Interval
_________of values that estimates the _________ value from a _______
Range, true population, sample
95% confidence interval
95% confident that the true population value is within this interval
Confidence Interval contains 0
“Fail to reject null hypothesis”
NOT adopt or accept it
P > 0.05
No effect
Not statistically significant
Standard deviation
How spread out a set of data is in relation to it's mean
Statistical inference
Statistical process of drawing conclusions about a population based on a population sample
e.g. P Value and Confidence interval
Population vs Sample
Population = entire group you want to study or draw conclusions about
Sample = Subset of the population used to make conclusions about the population
Types of Statistical inference
Hypothesis Testing
Estimation
Hypothesis Testing
Test to see if the observed effect is likely due to chance , or reflects a true difference or association in the population. “Is it statistically significant?”
P Value and confidence interval tell us about the population(people not part of the study)
true
Null hypothesis
No difference between the groupS
CONFIDENCE INTERVAL GIVE AN INDICATION OF THE SIZE OF DIFFERENCE, WHEREAS P VALUE ONLY INDICATES IF THERE IS A DIFFERENCE
TRUE