Biostatistics MPH Exam Questions and
Answers 100% Pass
What is biostatistics - ✔✔Development and application of statistical reasoning or
methods for collecting, organizing, analyzing and interpreting
the numerical data produced in health sciences
Descriptive Statistics - ✔✔methods for organizing and summarizing a set of data that
help us to describe the attributes of a group or a population. They provide us with an
overview of the general features of a set of a data. Descriptive data can assume a
number of different forms; among these are tables, graphs, and numerical summary
measures.
two types of variables - ✔✔Categorical and Quantitative
Nominal Data - ✔✔The simplest type of data. Nominal data values are unordered
categories or classes. It essentially uses numbers as a label where the order and the
magnitudes of the numbers are unimportant. e.g. males and Females can be given
values of 1 and 0 respectively.
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, Ordinal Data - ✔✔the data which uses numerical values for categories or classes that
rank them according to the values given in the data. The orders in the categories and
classes are important, e.g. a disease can be classified according to its degree of severity
in mild, moderate, and severe as 1, 2, and 3.
Binary Variable - ✔✔can either be nominal or ordinal, e.g. smoker/non-smoker,
pass/fail
Discrete Data - ✔✔the data which involve order and magnitudes and the numbers
represents the actual measurable quantities. Arithmetic can be applied, however the
outcome of an arithmetic operation performed on two discrete values is not necessarily
discrete. e.g. number of children in family, number of students passing biostats,
What are the advantages and disadvantages of transforming continuous measurements
into either discrete or ordinal ones? - ✔✔Advantages: By transformation of continuous
data into discrete or ordinal ones, we may not expect substantial differences among
subjects within data groupings. Moreover, the ordinal data are easies to handle than
continuous data and thus simpler to analyze.
Disadvantage: there is a consequent loss of details in the information, Just think the
grouped data and ungrouped data. Usually, the ungrouped data give you more detail
information about the variable of interest.
Brittie Donald, All Rights Reserved © 2025 2
Answers 100% Pass
What is biostatistics - ✔✔Development and application of statistical reasoning or
methods for collecting, organizing, analyzing and interpreting
the numerical data produced in health sciences
Descriptive Statistics - ✔✔methods for organizing and summarizing a set of data that
help us to describe the attributes of a group or a population. They provide us with an
overview of the general features of a set of a data. Descriptive data can assume a
number of different forms; among these are tables, graphs, and numerical summary
measures.
two types of variables - ✔✔Categorical and Quantitative
Nominal Data - ✔✔The simplest type of data. Nominal data values are unordered
categories or classes. It essentially uses numbers as a label where the order and the
magnitudes of the numbers are unimportant. e.g. males and Females can be given
values of 1 and 0 respectively.
Brittie Donald, All Rights Reserved © 2025 1
, Ordinal Data - ✔✔the data which uses numerical values for categories or classes that
rank them according to the values given in the data. The orders in the categories and
classes are important, e.g. a disease can be classified according to its degree of severity
in mild, moderate, and severe as 1, 2, and 3.
Binary Variable - ✔✔can either be nominal or ordinal, e.g. smoker/non-smoker,
pass/fail
Discrete Data - ✔✔the data which involve order and magnitudes and the numbers
represents the actual measurable quantities. Arithmetic can be applied, however the
outcome of an arithmetic operation performed on two discrete values is not necessarily
discrete. e.g. number of children in family, number of students passing biostats,
What are the advantages and disadvantages of transforming continuous measurements
into either discrete or ordinal ones? - ✔✔Advantages: By transformation of continuous
data into discrete or ordinal ones, we may not expect substantial differences among
subjects within data groupings. Moreover, the ordinal data are easies to handle than
continuous data and thus simpler to analyze.
Disadvantage: there is a consequent loss of details in the information, Just think the
grouped data and ungrouped data. Usually, the ungrouped data give you more detail
information about the variable of interest.
Brittie Donald, All Rights Reserved © 2025 2
