Biostatistics MCQ for Medical students is available for you for free on Medicalfond with other related mcq on biochemistry
1.
A Drug company is testing a new drug which is
supposed to reduce blood pressure, from the six people who are used as
subjects, it is found that the average drop in blood pressure 1S 2.28 points,
with a standard deviation of 0.95 points. What is the 95% CI for the mean
change in pressure?
a)
(29.83, 34.17) b) (1.28, 3.28) c) (30.35,33.65) d) (20.35, 23.65)
2.
Which one of the following is false?
a)
Hypothesis testing is one way of making inference about population parameter,
where the investigator has prior notion about the value of the
parameter.
b)
Statistical hypothesis is statement about the population whose plausibility is
to be evaluated on the basis of the sample data.
c) Test
statistic is a statistics whose value serves to determine whether to reject or
accept the hypothesis to be tested. It is a random variable.
d) None
3.
What is the use of health statistics?
a) Describe the level of community health
b)
Diagnose community ills
c)
Discover solutions to health problems and find clues for administrative action
d) All
4.
What is characteristic or measure obtained from
a sample?
a) Parameter b)
sampling frame c) statistic d) sampling
5.
Which one of the following is FALSE about
sampling error?
a) It is the
discrepancy between the population value & sample value.
b) It is error
due to procedure bias.
c) It may arise
due to inappropriate sampling techniques applied.
d) a &c
6.
What is the reason behind sampling?
a) Avoid
destructive test b) reduced cost c) greater scope d) all
7.
Which one of the following is method of
selecting items from a population such that every possible sample of specific
size has an equal chance of being selected?
a) - Simple
random sampling
b) systematic
sampling
c) cluster sampling
d) stratified
random sampling
8.
Which of the following is non probability
sampling?
a) Judgment
sampling b) Convenience sampling c) Quota sampling d) all
9.
If the uric acid values in normal adult males
are approximately normally distributed with mean 5.9 mgs & standard
deviation 1 mg. what is the probability that sample of size 3 will yield mean
greater than 6mgs?
a) 0.17 b)
0.4325 c) 0.5093 d) 0.1112
10. Which
one of the following is the correct sequence of statistical investigation?
a) Population
numerical data → sample → analyzed data → inference
b) Sample →
population numerical data analyzed data → inference
c) Sample →
numerical data → analyzed data → population inference
d) Population
sample numerical data analyzed data → inference
11. The
sample mean is an unbiased estimator for the population mean. This means:
a) The sample
mean always equals the population mean.
b) The average
sample mean, over all possible samples, equals the population mean.
c) The sample
mean is always very close to the population mean.
d) The sample
mean will only vary a little from the population mean.
e) The sample
mean has a normal distribution.
12. The Central
Limit Theorem states that:
a) If n is
large then the distribution of the sample can be approximated closely by a normal
curve. b) If n is large, and if the population is normal, then the variance of
the sample mean must be small. c) If n is large, then the sampling distribution
of the sample mean can be approximated closely by a normal curve.
d) If n is
large, and if the population is normal, then the sampling distribution of the sample
mean can be approximated closely by a normal curve.
e) If n is
large, then the variance of the sample
13. You have
measured the systolic blood pressure of a random sample of 25 employees of a
company. A 95% CI for the mean systolic blood pressure for the employees is
computer to be (122,138), which of the following statements gives a valid
interpretation of interval?
a) About 95% of
the sample of employees have a systolic blood pressure between and 138.
b) About 95% of
the employees in the company have a systolic blood pressure between 122 and
138.
c) If the
sampling procedure were repeated many times, then approximately 95% of the
resulting CI would contain the mean systolic blood pressure for employees in
the company.
d) If the
sampling procedure were repeated many times, then approximately 95% of the sample
means would be between 122 and 138.
e) The
probability that the sample mean falls between 122 and 138 is equal to 0.95.
14. In an
experiment to determine if antibiotics increase the final dressed weight of
cattle, the following were measured on each animal in the study. Sex, initial
weight, weight gain, grade of meat: Where grade is recorded as (A, B, or C). The
scales of measurement of these variables are
a) Nominal,
ratio, interval, nominal
b) Nominal,
ratio, ratio, nominal
c) Nominal,
ratio, ratio, ordinal
d) Ordinal,
ratio, ratio, ordinal
e) Ordinal,
ratio, ratio, nominal
15. A study
was conducted to measure the effect of smoking upon the birth weight of a baby.
The following
variables were measured for each woman in the study. Smoking status (Yes, no),
nominal Baby birth weight, APGAR score, Birth date. The sales of these
variables are;
a) Nominal,
ratio, ratio, ratio
b) Ordinal,
ratio, interval, interval
c) Nominal,
ratio, ordinal, ratio
d) Nominal,
ratio, ordinal, interval
e) Ordinal,
ratio, ordinal, ordinal
16. The
typical weight of a rat is about 800g and the weights were rounded to the
nearest gram. The number of tumors is around 10. Which of the following is
FALSE?
a) Gender is
nominal scale; dose is ordinal scale
b) Gender is
discrete; weight is continuous
c) Number of
tumors is discrete and is ratio scale
d) Dose is
ordinal scale and discrete
e) Weight is
ratio scale; and number of tumors is discrete
17. Which of
the following is NOT correct about constructing histograms?
a) The
approximate number of classes is 1+3.32*log(n).
b) All class
intervals should be of equal width.
c) The bars of
the histogram are centered over the class mark.
d) The first
and the last classes should be open ended to account for extreme points.
e) There should
be no spaces between bars.
Say true or
false
1. Sampling
unit is the ultimate unit to be sampled or elements of the population to be sampled
2. Non
probability sampling is a method of sampling in which all elements in the
population have a pre-assigned non-zero probability to be included in to the
sample.
3. The
confidence level is the probability that the value of the parameter falls
within the range specified by the confidence interval surrounding the
statistic.
4. Statistical
Estimation is one way of making inference about the population parameter where
the investigator does not have any prior notion about values or characteristics
of the population parameter.
5. Alternative
hypothesis is the hypothesis to be tested.