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Total questions: 99
Worksheet time: 50mins
A collection of information from facts, statistics, observations and measurements is known as
Data
Variable
Constant
Bias
When measurements involve human judgment, rather than machines, variation can be particularly large and difficult to control. When a researcher misreads the weighing scale and then records an incorrect measurement is an example
of
Confounding
Bias
Random Error
Systematic Error
When measurements involve human judgment, rather than machines, variation can be particularly large and difficult to control. When an improperly calibrated scale consistently registers weights as higher than they actually are is an example of
Random Error
Refraction Error
Typographical Error
Systematic Error
When measurements involve human judgment, rather than machines, variation can be particularly large and difficult to control. When an improperly calibrated scale consistently registers weights as higher than they actually are
is an example of
Sampling bias
Insensitive measurement bias
Observer bias
Hawthorne effect
Confounding causes a systematic error in inference and change the apparent direction of an association. For a variable to be a confounder, it must be all of the following, except
A determinant of the occurrence of a disease
Not associated with the exposure under investigation
A risk factor
None of the above
If the investigator, laboratory technician or the participant knows the exposure status, this knowledge can influence measurements and cause
Observer bias
Selection bias
Attention bias
Recall bias
This occurs when there is a systematic difference between the characteristics of the people selected for a study and the characteristics of those who are not
Selection bias
Measurement bias
Confounding
All of the above
Women with thrombophlebitis may have reported the use of contraceptives more completely than women without thrombophlebitis because they remembered hearing of the association. This is an example of a
Confounding
Chance
Measurement bias
Selection bias
Doctors may have questioned women with thrombophlebitis more carefully about contraceptive use than they did those without thrombophlebitis (and recorded the information more carefully in the medical record) because they were aware that estrogen could cause clotting. This is an example of
Selection bias
Chance
Confounding
Measurement bias
The women with thrombophlebitis were admitted to the hospital by doctors working in different neighborhoods than the physicians of those that did not have thrombophlebitis. This is an example of
Selection bias
Measurement bias
Confounding
Chance
Any characteristic that can differ from person to person is known as
Value
Variable
Data
All of the above
In experimental research, types of variables include the following except
Confounding
Dependent
Independent
Controlled
None of the above
If a continuous scale has a true 0 point, the variables derived from it can be called
Nominal variables
Ordinal variables
Ratio variables
Dimensional variables
Categorical variables that have no measurement scales and no rank order are known as
Ratio variables
Ordinal variables
Nominal variables
Continuous variables
Hospital ID numbers of patients are example of
Nominal variables
Ordinal variables
Continuous variables
Ratio variables
The Glasgow coma scale score to determine the level of consciousness of trauma patients is an example
Nominal variables
Ordinal variables
Continuous variables
Ratio variables
Using the Kelvin scale to measure ambient temperature is an example of
Nominal variables
Ordinal variables
Ratio variables
Interval variables
Using the Centigrade scale to measure body temperature is an example of
Nominal variables
Interval variables
Ordinal variables
Ratio variables
Determining whether heart murmurs are present or absent in a patient would require the use of
Nominal variables
Continuous variables
Ordinal variables
Ratio variables
Results of an RT-PCR for SARS-CoV-2 is either positive or negative is an example of
Nominal variables
Ordinal variables
Continuous variables
Ratio variables
Date and time of admission and discharge are examples of
Ordinal variables
Nominal variables
Ratio variables
Interval variables
The result of a fasting blood glucose level of a patient is an example of
Nominal variables
Ratio variables
Interval variables
Ordinal variables
The birth weight and length of a newborn is an example of
Ratio variables
Nominal variables
Ordinal variables
Interval variables
The TNM Staging of Breast Cancer is an example of
Nominal variables
Ordinal variables
Interval variables
Ratio variable
Designating the patient's religion as (1) basing on the following criteria: 1 -Christianity
2 - Islam
3 - Hinduism
4 - Buddhism
5 - Judaism
is an example of representing using
Interval variables
Ordinal variables
Nominal variables
Ratio variable
Dichotomous or binary variables are examples of
Nominal variables
Ordinal variables
Ratio variable
Interval variables
Quantifying pain intensity using a scale of 0 to 10 with 0 as having no pain at all, 5 with presence of moderate pain and 10 having the worst pain experienced would require using
Nominal variables
Interval variables
Ratio variable
Ordinal variables
Table 2.16 is an example of
Histogram
Date sheet
Line Listing
All of the above
None of the above
Identify what type of variable is Outcome as depicted in Table 2.16
Dichotomous
Ordinal
Continuous
Ratio
None of the above
Identify what type of variable is Age as depicted in Table 2.16
Ratio
Ordinal
Dichotomous
None of the above
Identify what type of variable is Temperature as depicted in Table 2.16
Continuous
Dichotomous
Ordinal
None of the above
Identify what type of variable is Lymphocyte count as depicted in Table 2.16
Dichotomous
Ordinal
Ratio
Continuous
None of the above
The mode of the temperatures listed in Table 2.16 is
37.35°C
37.9°C
38.35°C
38.0°C
The mean of the temperatures listed in Table 2.16 is
37.35°C
37.9°C
38.0°C
38.35°C
The median of the temperatures listed in Table 2.16 is
37.35°C
37.9°C
38.0°C
38.35°C
In epidemiology, the measure of central location generally preferred for summarizing skewed data such as incubation periods is the
Mean
Median
Mode
Midrange
The measure of central location generally preferred for additional statistical analysis is the
Mean
Median
Mode
Midrange
he measure of spread most affected by one extreme value is the
Range
Standard deviation
Mean
Interquartile range
The measure of central location most commonly used with the interquartile range is the
Mean
Median
Mode
Midrange
The measure of central location most commonly used with the standard deviation is the
Mean
Median
Mode
Midrange
The interquartile range covers what proportion of a distribution?
25%
50%
75%
100%
The algebraic relationship between the variance and standard deviation is that
The standard deviation is the square root of the variance
The variance is the square root of the standard deviation
The variance is the standard deviation divided by the square root of n
57
The standard deviation is the variance divided by the square root of n
Before calculating a standard deviation, one should ensure that
The data are somewhat normally distributed
The total number of observations is at least 50
The variable is an interval-scale or ratio-scale variable
All of the above
In computing the confidence interval, one would compute
Standard error of the mean
Standard deviation
Variance
All of the above
None of the above
The primary use of the standard error of the mean is in calculating the
Error rate
Confidence interval
Standard deviation
Variance
Which of the following best describes the similarities and differences in the three distributions shown in the figure?
Same mean, median, mode; different standard deviation
Same mean, median, mode; same standard deviation
Different mean, median, mode; different standard deviation
Different mean, median, mode; same standard deviation
Which of the following terms accurately describe the distribution shown in the
figure?
Gaussian
Positively skewed
Negatively skewed
None of the above
Which of the following terms accurately describe the distribution shown in the figure?
Symmetrical
Skewed to the left
Skewed to the right
Symmetrical
What is the likely relationship between mean, median, and mode of the distribution shown in the figure?
Mean > median > mode
Mean = median = mode
Mean < median < mode
None of the above
Identify the mode as shown in the figure.
5
6
7
8
The mode is the value that
Is midway between the lowest and highest value
Has half the observations below it and half above it
Occurs most often
Is statistically closest to all of the values in the distribution
The range is the value that
Is the difference between the highest and lowest value
Occurs most often
Is statistically closest to all of the values in the distribution
Has half the observations below it and half above it
The median is the value that
Has half the observations below it and half above it
Is statistically closest to all of the values in the distribution
Occurs most often
Is midway between the lowest and highest value
The mean is the value that
Is the difference between the highest and lowest value
Occurs most often
Has half the observations below it and half above it
Is statistically closest to all of the values in the distribution
The midrange is the value that
Is midway between the lowest and highest value
Occurs most often
Has half the observations below it and half above it
Is statistically closest to all of the values in the distribution
A study wishes to assess birth characteristics in a population. Which of the following measurement scale describe the following variable : Birthweight in grams?
Nominal scale
Ordinal scale
Interval scale
Ratio scale
A study wishes to assess birth characteristics in a population. Which of the following measurement scale describe the following variable : Birthweight classified as low, medium, high?
Ratio scale
Nominal scale
Ordinal scale
Interval scale
A study wishes to assess birth characteristics in a population. Which of the following measurement scale or describe the following variable : Gender classified as male or female?
Nominal scale
Ordinal scale
Interval scale
Ratio scale
In an experimental study, patients with advanced breast cancer are treated with a new drug. After three years of follow-up, radiographic scans are used to determine the number of metastatic lesions for each study patient. The number of lung metastases for each subject is shown in the figure. Based on these data, what is the average number of metastatic lung lesions for patients treated with the new drug?
0
Between 0 and 1
1
Between 1 and 2
2
In an experimental study, patients with advanced breast cancer are treated with a new drug. After three years of follow-up, radiographic scans are used to determine the number of metastatic lesions for each study patient. The number of lung metastases for each subject is shown in the figure. Based on these data, what is the most common number of metastatic lung lesions found for patients treated with the new drug?
0
Between 0 and 1
1
Between 1 and 2
2
In an experimental study, patients with advanced breast cancer are treated with a new drug. After three years of follow-up, radiographic scans are used to determine the number of metastatic lesions for each study patient. The number of lung metastases for each subject is shown in the figure. Based on these data, what is the median?
0
Between 0 and 1
1
Between 1 and 2
2
In an experimental study, patients with advanced breast cancer are treated with a new drug. After three years of follow-up, radiographic scans are used to determine the number of metastatic lesions for each study patient. The number of lung metastases for each subject is shown in the figure. Based on these data, which of the following statement is true?
It is negatively skewed
It is skewed to the right
It has a Gaussian distribution
All of the above
None of the above
The duration of time from first exposure to HIV infection to AIDS diagnosis is called the incubation period. The incubation periods of a random sample of 7 HIV infected individuals is given below (in years):
12.0, 9.5, 13.5, 7.2, 10.5, 6.3, 12.5
What is the sample mean?
9.2
10.2
11.2
12.2
The duration of time from first exposure to HIV infection to AIDS diagnosis is called the incubation period. The incubation periods of a random sample of 7 HIV infected individuals is given below (in years):
12.0, 9.5, 13.5, 7.2, 10.5, 6.3, 12.5
What is the sample median?
9.5
10.5
12.0
7.2
The duration of time from first exposure to HIV infection to AIDS diagnosis is called the incubation period. The incubation periods of a random sample of 7 HIV infected individuals is given below (in years):
12.0, 9.5, 13.5, 7.2, 10.5, 6.3, 12.5
If the number 6.3 above were changed to 1.5, what would happen to the
sample mean?
It would decrease
It would remain the same
It would increase
None of the above
The duration of time from first exposure to HIV infection to AIDS diagnosis is called the incubation period. The incubation periods of a random sample of 7 HIV infected individuals is given below (in years):
12.0, 9.5, 13.5, 7.2, 10.5, 6.3, 12.5
If the number 6.3 above were changed to 1.5, what would happen to the sample median?
It would decrease
None of the above
It would remain the same
It would increase
The duration of time from first exposure to HIV infection to AIDS diagnosis is called the incubation period. The incubation periods of a random sample of 7 HIV infected individuals is given below (in years):
12.0, 9.5, 13.5, 7.2, 10.5, 6.3, 12.5
If the number 6.3 above were changed to 1.5, what would happen to the sample standard deviation?
It would decrease
It would remain the same
None of the above
the same It would increase
A sample of 5 body weights (in pounds) is as follows: 116, 168, 124, 132, 110. The sample median is
124
116
132
130
A sample of 5 body weights (in pounds) is as follows: 116, 168, 124, 132, 110. The sample mean is
124
116
132
130
None of the above
A sample of 5 body weights (in pounds) is as follows: 116, 168, 124, 132, 110. Based on the following data, which statement is true?
The mean is equal to the median
The mean is less than the median
The mean is greater the median
None of the above
A sample of 5 body weights (in pounds) is as follows: 116, 168, 124, 132, 110. Based on the following data, which statement is true?
The distribution is positively skewed
The distribution is symmetrical
The distribution is symmetrical
None of the above
Suppose a random sample of 100 12-year-old boys were chosen and the heights of these 100 boys recorded. The sample mean height is 64 inches, and the sample standard deviation is 5 inches. You may assume heights of 12- year-old boys are normally distributed. Which interval below includes approximately 95% of the heights of 12-year-old boys?
63 to 65 inches
39 to 89 inches
54 to 74 inches
59 to 69 inches
Cannot be determined from the information given
Which measure of central tendency is correctly paired to the measure of variance?
Mean and Standard Deviation
Midrange and Range
Median and Quartile
Mode and Interquartile Range
In determining the interquartile range, the 50th percentile is the
Mean
Median
Mode
Midrange
A group of 15 students took an exam and got the following scores: 92, 65, 84, 78, 84, 83, 79, 78, 84, 82, 79, 84, 75, 83, 77. Basing on the data given, what is
true of the mode?
The distribution is bimodal
The mode is greater than the mean
The mode is 82
All of above are true
A group of 15 students took an exam and got the following scores: 92, 65, 84, 78, 84, 83, 79, 78, 84, 82, 79, 84, 75, 83, 77. Basing on the data given, what is true of the median?
The median is 82
The distribution is positively skewed
The median is greater than the mode
All of above are true
A group of 15 students took an exam and got the following scores: 92, 65, 84, 78, 84, 83, 79, 78, 84, 82, 79, 84, 75, 83, 77. Basing on the data given, what is true of the mean?
The mean is greater than the median
The mean is 82
The distribution is skewed to the left
All of above are true
A group of 15 students took an exam and got the following scores: 92, 65, 84, 78, 84, 83, 79, 78, 84, 82, 79, 84, 75, 83, 77. Basing on the data given, the mean is approximately
80
82
84
86
A group of 15 students took an exam and got the following scores: 92, 65, 84, 78, 84, 83, 79, 78, 84, 82, 79, 84, 75, 83, 77. Basing on the data given, assuming that the data is equally distributed, the best measure of variance is the
Range
Interquartile range
None of the above
Standard deviation
Statistics enables epidemiologists to do the following, except
Determine the strength of association among individuals
Find out the pattern of relationship between variables
Characterized the patterns of variation in single variables
Ascertain if observed differences are likely to be true differences or not
Biologic differences among individuals causing variation in their blood pressure reading is affected by
Time of day
Temperature of room
Total nutrition and dietary preference
Technique of observer
All of the above
When measurements involve human judgment, rather than machines, variation can be particularly large and difficult to control. When a researcher misreads the weighing scale and then records an incorrect measurement is an example of
Chance
Random Error
None of the above
All of the above
In a study of whether vitamins protect against cardiovascular events, if people who choose to take vitamins are also more likely to follow a healthy lifestyle
(e.g., not smoke cigarettes, exercise, eat a prudent diet, and avoid obesity), taking vitamins will be associated with lower cardiovascular disease rates regardless of whether vitamins protect against cardiovascular disease. In this example, concluding that taking vitamins is associated with lower cardiovascular disease is an example of
Systematic Error brought about by the Hawthorne effect
Systematic Error brought about by a confounder
Systematic Error brought about by selection bias
Random Error brought about by chance
This type of selection bias occurs when patients enroll themselves in a trial, which results in a non-representative sample.
Recall bias
Sampling bias
Response bias
Attention bias
This occurs when people change their behavior because they know they are
being watched affecting the measurement of variables
Recall bias
Attention bias
Response bias
Sampling bias
Doctors may have questioned women with thrombophlebitis more carefully about contraceptive use than they did those without thrombophlebitis (and recorded the information more carefully in the medical record) because they
were aware that estrogen could cause clotting. This is an example of
Observer bias
Attention bias
Response bias
Recall bias
The utility of such scales to quantify subjective assessments to determine the magnitude are known as
Nominal variables
Interval variables
Ratio variables
Ordinal variables
Using the Kelvin scale to measure ambient temperature is an example of
Ratio variables
Interval variables
Ordinal variables
Nominal variables
The presence of glucose in the patient's urine sample is determined as negative, trace, or up to +4 are examples of
Interval variables
Ratio variables
Ordinal variables
Nominal variables
This variable causes a systematic error whereby the effects of one variable are attributed to another
Chance variables
Continuous variables
Confounding variables
None of the above
In computing the standard deviation, one would compute all of the following except
Variance
Degree of freedom
Mean
All of the above
None of the above
The midrange is the value that
Is midway between the lowest and highest value
Is statistically closest to all of the values in the distribution
Has half the observations below it and half above it
Occurs most often
A study wishes to assess birth characteristics in a population. Which of the following measurement scale or describe the following variable : Birthweight classified as low or not low?
Ordinal scale
Nominal scale
Interval scale
Ratio scale
A study wishes to assess birth characteristics in a population. Which of the following measurement scale or describe the following variable : Delivery type classified as cesarean, natural, induced?
Nominal scale
Ordinal scale
Ratio scale
Interval scale
In an experimental study, patients with advanced breast cancer are treated with a new drug. After three years of follow-up, radiographic scans are used to determine the number of metastatic lesions for each study patient. The number of lung metastases for each subject is shown in the figure. Based on these data, what measurement scale can be appropriately used?
Ordinal scale
Nominal scale
Interval scale
Ratio scale
None of the above
In normal distribution, what percentage of the sample is found within 2 standard deviation of the mean?
68.3%
95%
95.5%
99.7%
Which of the following is a dichotomous variable?
Gender
RT-PCR SARS-CoV-2 result
Treatment outcome (success or fail)
All of the above
For a near normal distribution, the best measure of dispersion is the
Variance
Standard deviation
Mean
Interquartile range
Expected variation in blood pressure results among individuals can be affected by the following, except
Temperature of room when measurement is taken
Miscalibration of sphygmomanometer when measurement is taken
Time of day when measurement is taken
None of the above
