Biostatistics Flashcards

1
Q

Define statistics?

A

A scientific discipline covers data collection, data preparation, data
presentation, data summarization and information inference with data
analysis.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

How many dimensions of statistics are there?
a. Two
b. Three
c. Four
d. Five

A

Three

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Which of the following is NOT the dimensions of statistics?
a. Descriptive Statistics
b. Probability Theory
c. Differential Theory
d. Inferential Statistics

A

Differential Theory

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What does Descriptive Statistics help in?

A

From data collection to data summarization.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Inferential Statistics helps in Data analysis and Modelling. True or false?

A

True

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Probability Theory shows?
a. Probability distributions and Sampling distributions
b. From data collection to data summarization.
c. Data analysis and Modelling.

A

Probability distributions and Sampling distributions

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

_____________ is an applied field of statistics to the life and
health sciences

A

Biostatistics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

__________ is the results of experiments and measurements

A

Data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What is the starting points of statistical process?

A

Data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Starting points of decision making process is?

A

Information

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Information is the results of statistical process. True or false?

A

True

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What are the two types of data?

A

Constant and variable

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

_______ and _______ are the types of Variables.

A

Qualitative and Quantitative

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Which of the following is a Qualitative Variable?
a. Age
b. Weight
c. Length
d. Gender

A

Gender

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Which of the following is NOT the Quantitative Variable?
a. Blood pressure
b. Blood group
c. Weight
d. Length

A

Blood group

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Which scale does not come under Scale Hierarchy?
a. Nominal Scale
b. Ordinal Scale
c. Numerical Scale
d. Interval Scale

A

Numerical Scale

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

What does Ratio Scale shows?

A

numerical and absolute measures

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

Selection of Units is through __________ and _________

A

Census and sampling

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

Sampling Methods are divided into?

A

Probability Sampling and Non-Probability Sampling.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

Primary Data Sources are the data that is collected by teachers. True or false?

A

False. Primary Data Sources are the data that is collected by researchers.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

Data that is gathered from any data sources; governmental or private
institutions, libraries, previous studies, e-sources etc. is called?

A

Secondary Data Sources

22
Q

First step of Data Preparation & Presentation is?

A

To organize data

23
Q

What does Frequency Distribution shows?

A

A design showing frequencies of all observed outcomes.

23
Q

What does Frequency Distribution shows?

A

A design showing frequencies of all observed outcomes.

24
Data is NOT illustrated by? a. Drawings b. Bar chart c. Pie chart d. Histograms
Drawings
25
Histogram is the illustration of frequencies based on finite intervals of a continuous random variable. True or false?
True
26
Name the four main measures of data summarization.
Central Tendency Dispersion Skewness Kurtosis
27
Kurtosis is the measure of symmetry. True or false?
False. Kurtosis is the measure of tailedness.
28
Central Tendency is? a. measure of variability b. measure of symmetry c. measure of location d. measure of tailedness
measure of location
29
Dispersion is? a. measure of variability b. measure of symmetry c. measure of location d. measure of tailedness
measure of variability
30
Skewness is? a. measure of variability b. measure of symmetry c. measure of location d. measure of tailedness
measure of symmetry
31
Central Tendency is calculated by _________, _________ and __________
Mean, mode, and median
32
The value that repeats most often is called?
Mode
33
Mode is suitable for which type of data?
Suitable for categorical and especially nominal data.
34
The value that separate data as two equal parts is called?
Median
35
Median is suitable for which type of data?
Suitable for categorical and especially ordinal data.
36
___________ is the distance between maximum and minimum values.
Range
37
The formula for calculating range is?
Range= X max - X min
38
The square of standard deviation is called ___________
Variance
39
The ratio of standard deviation to arithmetic mean is called?
Coefficient of variation
40
Can we find ordinal scale from nominal scale?
No. We can find nominal scale from ordinal scale but NOT vice versa.
41
A Statistic is the information based on _______.
Data
42
Statistics is studied in two ways, name them?
Mathematical or applied.
43
Interval Scale shows? a. unordered grouping b. ordered grouping c. numerical and relative measures d. numerical and absolute measures
numerical and relative measures
44
Nominal Scale shows?
Unordered grouping
45
In Probability Sampling, units are selected based on the principle of randomization. True or false?
True
46
In Non-Probability Sampling, units are selected based on ___________
A subjective judgement.
47
Second step to Data Preparation & Presentation is?
To illustrate data
48
_________ is the number of occurrences of an outcome.
Frequency
49
A data with no any processing is called?
Raw data