LE5 Flashcards
(103 cards)
This is a graph that shows the relationship of two quantitative variables
A. Bar chart
B. Pie graph
C. Line graph
D. Histogram
E. Scatter plot
C. Line graph
Quantitative:
* scatterpoint - Correlation data for two quantitative variables
* Histogram- Representation of the frequency distribution of a continuous variable, includes age groups
* Bar graph (Variable) : Comparison of absolute or relative counts, rate, etc between and among categories of the variables
Qualitative:
Pie chart- Shows breakdown of a whole or total with few categories
Time series:
Line diagram/graph: Shows trend data or changes as to time or age
Statistics enables us to remove the uncertainty of the relationship between variables and approximates a 100% clarity.
A. True
B. False
B. False
What is the importance of appropriate determination of sample size?
A. The actual number of samples needed to complete the study is decreased by at least 50%
B. The feasibility of the study in terms of availability of the subject is assured
C. The duration of study and estimate of the budget can be extended beyond the estimates
D. All those belonging to the population being studied are assured of being included as a subject in the study
B. The feasibility of the study in terms of availability of the subject is assured
A type of sampling technique used commonly in epidemiologic researches where natural groupings of individuals are selected from a population based on geographic areas or district:
A. Cluster
B. Systematic
C. Consecutive
D. Stratified
D. Stratified
Categories are used as labels to distinguish one group from another:
A. Cofounders
B. Quatitative variables
C. Discrete variables
D. Qualitative variables
D. Qualitative variables
When one is collecting data by interviewing, or
administering a questionnaire or by observing, he is collecting
A. Census data
B. Primary data
C. Secondary data
D. Sample data
B. Primary data
A primary data source is an original data source, that is, one in which the data are collected firsthand by the researcher for a specific research purpose or project.
A measure on how close the experimental value is to the true value is
A. Accuracy
B. Precision
A. Accuracy
Which of the following is part of the study of statistics?
A. Data collection
B. Data analysis
C. Data presentation
D. Data interpretation
E. All of the above
E. All of the above
Which one is NOT a characteristic of ideal measure dispersion?
A. It is not affected by extreme values
B. It must be easy to understand
C. It is the most unreliable measure of central tendency
D. It is least affected by sampling fluctuation
C. It is the most unreliable measure of central tendency
- rigidly defined.
- easy to understand and easy to calculate.
- based on all the observations of the data.
- subjected to further mathematical treatment.
- be least affected by the sampling fluctuation.
- not be unduly affected by the extreme values
Factors that contribute to random error include
A. Poor accuracy
B. Sampling error
C. Bias in measurement
D. All of the above
D. All of the above
All of the following information are considered critical in the computation of sample size, EXCEPT:
A. Whether the variable under study is paired or unpaired
B. Whether both a and b errors are considered
C. Whether the effect size set is big or small
D. Whether the study will utilize primary or secondary data
D. Whether the study will utilize primary or secondary data
When the distribution of the group of individuals according to whom they voted for president during the last elections are graphically depicted, which of the graph types can be used?
A. Polygon
B. Histogram
C. Scatterplot
D. Pie chart
D. Pie chart
Which of the following types of graphs can be used to describe the distribution of the population according to socio-economic status (high, medium, or low)?
A. Bar chart
B. Pie chart
C. Component bar chart
D. All of the above
D. All of the above
Qualitative:
* Bar graph
* Pie chart
* Component bar graph
Error that occurs when data lead one to conclude that something is true, when in reality, it is not true.
A. Alpha error
B. Beta error
C. Blunder
D. Systematic error
A. Alpha error
Where the data mislead because they are not representative of the population
A. Selection bias
B. Classification bias
C. Sampling bias
D. Validity bias
A. Selection bias
The direction of the relationship is enough to ascertain the strength of the association between variables.
A. True
B. False
B. False
Which deals with an inspection average?
A. Mode
B. Mean
C. Median
D. Dispersion
A. Mode
A null hypothesis is the hypothesis that states a difference between variables.
A. True
B. False
B. False
The square root of the mean of the square of the individual deviations from the mean is
A. Average of variation
B. Standard deviation
C. Range
D. Coefficient of range
B. Standard deviation
Which of the following sampling methods involves obtaining a sample where the probability of inclusion of a unit is not known/specified?
A. Simple random
B. Systematic
C. Stratified
D. Quota
D. Quota
- The appropriate test of statistical significance for this trial IS:.
* the critical ratio
* the odds ration
* the paired t test
* z test
the paired t test
- By mere inspection of data, what can you conclude?.
* Even if clinically meaningful, the difference is not statistically significant
* Even if statistically significant, the difference is probably not clinically meaningful
* If clinically meaningful, the test must be statistically significant
* The difference is definitely clinically meaningful
Even if statistically significant, the difference is probably not clinically meaningful
- Before concluding that the intervention lacks statistical significance, you would want to consider:.
* beta error
* alpha level
* critical ratio
* p value
* type 1 error
beta error
- Error that occurs when data lead one to conclude that something is true, when in reality, it is not true.
* alpha error
* beta error
* blunder
* systematic error
alpha error
Type I/ Alpha / False Positive Error: Error that occurs when data lead one to conclude that something is true, when in reality it is not true. Suggests that the test is not specific.
FP Error Rate = FP / (FP + TN)