# Biostatistics Trivia Quiz Part 1

50 Questions | Total Attempts: 4218  Settings  Those unaware of how the process works may not see much value in applying statistical knowledge to any of the vast array of topics in the study of biology, but today we’ll be taking a look at how biostatistics works and what its different applications are. Let’s see how well you know the topic!

• 1.
_________ is a collection of procedures and principles for gathering data and analyzing information to help people make decisions when faced with uncertainty.
• A.

Data

• B.

Parameter

• C.

Statistics

• D.

Sample

• 2.
___________ referring to numbers or nonnumerical labels (male/female) collected from a set of entities (people, cities, etc)
• A.

Data

• B.

Variables

• C.

Sample

• D.

Statistics

• 3.
Five-number summary
• A.

Cut-off points for 1/5

• B.

Lowest value

• C.

Cut-off points for 1/3

• D.

Cut-off points for 1/4

• E.

Cut-off points for 1/2

• F.

Cut-off points 4/5

• G.

Cut-off points 3/4

• H.

Highest value

• 4.
The 3 middle values of the summary are called________
• A.

Lower quartile

• B.

Extremes

• C.

Median

• D.

Mode

• E.

Highest quartile

• F.

Upper quartile

• 5.
Median of a numerical list of data is the value ____________
• A.

The sum of the values

• B.

Sum of all the values divided by the total number

• C.

In the middle when the numbers are put in order

• 6.
The _______ and __________ are (roughly) the medians of the lower and upper halves of the data
• A.

Lower quartile; median

• B.

Lower quartile; mode

• C.

Mode; higher quartile

• D.

Lower quartile; upper quartile

• 7.
_________________ helps us see the pattern in the data
• A.

Histogram

• B.

Dotplot

• C.

Steam and leaf plot

• 8.
_________are observations (such as measurements, genders, survey responses) that have been collected
• A.

Variables

• B.

Samples

• C.

Population

• D.

Data

• 9.
Data  is lso defined as ____________ recorded  information to help minimize uncertainty in decision process
• A.

Systematically

• B.

Parameter

• C.

Statsitic

• D.

Vairablly

• 10.
Data uses the 5 Ws and 1 GH
• A.

Who, What, When, Where, Why, and How

• B.

Who, Would, Why, Where, and How

• C.

Who, What, Why, Won't, and How

• 11.
__________are collected when all individuals in a population are measured
• A.

Sample Data

• B.

Population Data

• C.

Numerical Data

• 12.
__________a are collected from a subset of a large population.
• A.

Numerical Data

• B.

Population Data

• C.

Sample Data

• 13.
_________ are characteristics recorded about each individual. the_____ should have a name that identify What has been measured.
• A.

Data

• B.

Units

• C.

Variables

• D.

Subunits

• 14.
________ of data are excellent tools for obtaining preliminary impressions and insights –Type of ______ depends on type of variables
• A.

Visual displays

• B.

Rate

• C.

Graph

• D.

Histograph

• 15.
____________ at which something occurs is simply the number of times it occurs per number of opportunities for it to occur
• A.

Risk

• B.

Base rate

• C.

Baseline risk

• D.

Rate

• 16.
_____ of a bad outcome in the future can be estimated by using the past rate for tat outcome, if it is assumed the future will be like the past
• A.

Risk

• B.

Data

• C.

Rate

• D.

Variable

• 17.
____________ or __________ is the rate of risk at a beginning of a period or under specific conditions
• A.

Base rate; baseline rate

• B.

Baseline risk; baseline rate

• C.

Base risk; baseline rate

• 18.
•Values measured in groups or categories • •Examples: –Gender –Favorite color –Type of car –Satisfactory rating
• A.

Nominal

• B.

Categorical

• C.

Sample

• D.

Qualitative

• 19.
•Values measured in numeric values with meaning (units/counts) • •Examples:  –# of minutes –weight (in pounds) –snowfall (in inches)
• A.

Nominal

• B.

Quantitative

• C.

Qualitative

• D.

Measurement

• 20.
Two types of Variables
• A.

Qualitative

• B.

Quantitative

• C.

Nominal

• D.

Ordinal

• 21.
Two types of Categorical variables
• A.

Ordinal Variables

• B.

Continuous Variables

• C.

Discrete Variables

• D.

Nominal Variables

• 22.
Two types of Quantitative variables
• A.

Nominal Variables

• B.

Continuous Variables

• C.

Discrete Variables

• D.

Ordinal Variables

• 23.
(one answer) •Categorical variable where the categories have a natural or logical ordering or ranking   •Examples:  –t-shirt size (S,M,L,XL) –Satisfaction Rating (very satisfied, somewhat satisfied, somewhat dissatisfied, very dissatisfied)
• A.

Ordinal Variables

• B.

Discrete Variables

• C.

Continuous Variables

• D.

Nominal Variables

• 24.
(one answer) •There is no necessary relationship between the categories.  (ie: no natural ordering)   •Names, numbers, or other symbols used to specify the groups to which various subjects belong   •Examples:  blood type, gender, marital status
• A.

Nominal Variables

• B.

Ordinal Variables

• C.

Discrete Variables

• D.

Continuous Variables

• 25.
(one answer) •You can actually count the possible responses • •Key:  number of • •Examples:  –# of children –# of students –# of pages in book –# of rooms in house
• A.

Continuous Variables

• B.

Discrete Variables

• C.

Ordinal Variables

• D.

Nominal Variables

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