IBHRE RESEARCH METHODOLOGY TEST
To get the average, find the total number of numbers and divide by that number.
For example, the mean of 1,3,4,5 is 3.25, calculated as (1+3+4+5)/4.
ANSWER the median value when numbers are in order.
For example, median values for 1, 3, 6, 8, and 9 are 6 while 45, 56, and 123 are
56, respectively.
mode - ANSWER the most frequently written value.
Example: Mode = 4 for numbers 2, 4, 5, and 6.
range - ANSWER the largest number and subtract the lesser number
Example: 1, 1, 2, 3, 5, 6; range = 6-1 = 5.
Standard deviation, also known as square root variance, is a measure of how
closely points cluster around the mean. Most medical work requires +/- 2
standard deviations to be statistically significant, as displayed on a histogram.
The null hypothesis predicts that there is no relationship between the two
variables.
Rejecting the null hypothesis indicates that the P value is less than or equal to
the significance level.
P-values range from 0 (complete certainty) to 1.0 (total uncertainty), with a
value of less than 0.01 (1%) being suitable for medical statistics.
The correlation coefficient reflects the strength of the association between
variables. The R value equals the regression coefficient. A tight correlation
(closer to 1.0) is desirable.
A scatter plot depicts the ability of one variable to predict another. The "line of
best fit" or "regression" line is depicted on the graph.
To get the average, find the total number of numbers and divide by that number.
For example, the mean of 1,3,4,5 is 3.25, calculated as (1+3+4+5)/4.
ANSWER the median value when numbers are in order.
For example, median values for 1, 3, 6, 8, and 9 are 6 while 45, 56, and 123 are
56, respectively.
mode - ANSWER the most frequently written value.
Example: Mode = 4 for numbers 2, 4, 5, and 6.
range - ANSWER the largest number and subtract the lesser number
Example: 1, 1, 2, 3, 5, 6; range = 6-1 = 5.
Standard deviation, also known as square root variance, is a measure of how
closely points cluster around the mean. Most medical work requires +/- 2
standard deviations to be statistically significant, as displayed on a histogram.
The null hypothesis predicts that there is no relationship between the two
variables.
Rejecting the null hypothesis indicates that the P value is less than or equal to
the significance level.
P-values range from 0 (complete certainty) to 1.0 (total uncertainty), with a
value of less than 0.01 (1%) being suitable for medical statistics.
The correlation coefficient reflects the strength of the association between
variables. The R value equals the regression coefficient. A tight correlation
(closer to 1.0) is desirable.
A scatter plot depicts the ability of one variable to predict another. The "line of
best fit" or "regression" line is depicted on the graph.
