Final Flashcards
(31 cards)
What letter symbolizes the number of values in a group
n
What is the symbol that represents the coef alpha?
The backwards fish
rejecting he null hypo when the null hypo is true is called
…..”……..
Type 1 error
Examples of type I errors include a test that shows a patient to have a disease when in fact the patient does not have the disease, a fire alarm going off indicating a fire when in fact there is no fire or an experiment indicating that a medical treatment should cure a disease when in fact it does not.
Failing to reject the null hypo when the null hypo is true
Type 2 error
Saying there’s a relationship when there’s no relationship
Examples of type II errors would be a blood test failing to detect the disease it was designed to detect, in a patient who really has the disease; a fire breaking out and the fire alarm does not ring or a clinical trial of a medical treatment failing to show that the treatment works when really it does.
What hypo states that there is no diff between groups
Null hypo
What’s the name given for the amount of confidence one has placed in correctly rejecting or failing to reject the null hypo
Coefficient alpha
Under which circumstances can a t-test be used to examine group differences
2 independent groups/ 1 group with repeated measures 2 groups Paired samples Independent Random
What does a higher p-value say about the differences between groups or values
High p value = less different means
Low p value = more Different means
Want it to be low so shows a difference
What is the name given to the probability that a given outcome will have occurred by chance alone
P-value
Low is good
What does a higher t-value say about the difference Between groups or values
Higher t-value = more difference between means
Lower t-value = less difference between means w
How do you calculate the degrees of freedom associated with an independent sample t-test
n-2
How do you calculate the degrees of freedom associated with a paired samples t-test
n(pairs) -1 w
What letter represents a correlation
r
What is the null hypo when computing a correlation
There is no relation
Failing to reject the null hypo when the null hypo is true……
Type 2 error
If variables A and B are positively correlated, a person having a high value in variable B would most likely have what type of A value?
high
If variables A and B are negatively correlated, a person having a high value in variable B would most likely have what type of A value
Low
If a p-value for a correlation is greater than the preset alpha level, then what could be inferred about that correlation
There is no relation, it is not sign from zero
Conducting an ANOVA (when appropriate) is important to protect against the inflation of what
Type 1 error
Dan wanted to see if there was a relationship between knowing stats and making good decisions. He gave 200 participants both a test to asses their knowledge of statistics and their ability to make decision what type of stats test would he use?
Correlation
Looking for a relation
Toni is a nurse who wanted to see if hugging patients improved the patients rating of the quality of their hospital stay. Fist she gave her 30 patients quick survey asking them about their stay. The next day she gave each of them a hug, then gave them the same survey again. What type of stats test use?
Paired- sample t-test
Using the same set of people in test
Dr.c wanted to see if using movie stories improved his students enjoyment of stats class. Half of his class was randomly assigned to watch a class which included movie stories while the other half watched class with only a lecture. All of the participants then rated their enjoyment of the videos. What test use?
Independent sample T-test
Coach strong wanted to find out if he had the fastest football team in the big 12 conference. He called the coaches of all 12 teams and obtained their times on the 40 yard dash. What test would he use to find out if his team was the fastest than the others?
ANOVA
There is more than two teams
To see if moving to Austin really does make someone weird, Samantha chose a random sample of college students who had moved to universities in Austin, San Antonio, and Dallas. She gave all of them a weirdness test. What type of analysis should she use to see if here is a difference in weirdness of the students in these three cities?
ANOVA
Because there is more than 2
