Midterms Quiz Compilation Flashcards
The correlation between coefficient between X and –X
-1
What does significant result in a chi-square test imply?
It implies that the sample is not representative of
the population
How many cases need to appear in one category for chi-square?
5
What type of data do you need for a chi-square test?
CATEGORICAL
For the chi-square test to be effective the expected value for each cell in the contingency table has to at least
5
The null hypothesis in the chi-square test states that
THE ROWS AND COLUMNS IN THE TABLE
ARE ASSOCIATED
Which statement is not correct about the chi-square test statistic?
A VALUE CLOSE TO 0 WOULD INDICATE
EXPECTED COUNTS ARE MUCH
DDIFFERENT FROM OBSERVED COUNTS
A researcher asked 933 people what…..
CHI-SQUARE TEST
What must be true about the expected values in a chi-square test?
GREATER THAN OR EQUAL TO 5
Analysis of variance is a statistical method of comparing the —- of several populations
MEANS
When incidence rates are available, comparing rates using a ratio measure of association is best don’t with a odds ratio
FALSE
An odd ratio greater than 1 indicates a negative association between exposure and outcome
FALSE
The prevalence ration can be used in a case control study or any study where the outcome data is prevalence
FALSE
January 1, 2003. On June 5, 2003, it was discovered that 75 of those gym patrons currently had gym-related injuries. After June 5, the remaining injury-free patrons were enrolled in a cohort study, classified as machine-users (n=1000) and free-weight users (n=425), and followed for 3 years. 85 machine-users and 15 free-weight users became injured in the 3 years. All follow- up stopped on exactly June 5, 2006. Assuming complete ascertainment and no drop-outs: Calculate the odds ratio for injury among machine users
2.5
Fourteen of the volunteers who were given the new medicine have an upset stomach, and 42 of the volunteers who were given the new medicine do not have an upset stomach. In volunteers who did not take the medication, two people have an upset stomach and 83 do not have an upset stomach. Calculate the
relative risk of having an upset stomach (event) after taking the new medicine (exposure)
10.4
Fourteen of the volunteers who were given the new medicine have an upset stomach, and 42 of the volunteers who were given the new medicine do not have an upset stomach. In volunteers who did not take the medication, two people have an upset stomach and 83 do not have an upset stomach. What is the Probability in non exposure group?
0.024
The first way that the odds ratio can be calculated is by comparing those with the outcome to those without the outcome
TRUE
Relative Risk is often used when the study involves comparing the likelihood, or chance, of an event occurring between two groups. Relative Risk is considered a descriptive statistic and an inferential statistic; as it does not determine statistical significance.
1ST statement is true and 2ND is false