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Statistics Introduction
Statistics Introduction
30 terms
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StudBud Administration
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Statistics basic vocabulary review
Flashcards
30 cards
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Practice quiz
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Questions
30
Answers
1
Because of current economy, 49% of 18- to 34- year-olds have taken a job to pay the bills.
Example of inferential statistics
Example of descriptive statistics
2
Boundary is defined as a class in which data value would be placed before value was rounded.
True
False
3
Classify distances communication satellites in orbit are from Earth
ordinal-level measurement
nominal-level measurement
ratio-level measurement
interval-level measurement
4
Number of phone calls received by a 911 call center each day
Example of continuous variable
Example of discrete variable
5
Classify telephone numbers as
nominal-level measurement
interval-level measurement
ratio-level measurement
ordinal-level measurement
6
Example of quantitative variables
age
body temperature
height
gender
7
A survey of 1507 smartphone users showed that 38% of them purchased insurance.
Example of descriptive statistics
Example of inferential statistics
8
What is statistics?
Summarize, analyze, draw conclusions about data
Organize, summarize, analyze, draw conclusions
Collect, organize, summarize, analyze data
Collect, organize, summarize, analyze, draw conclusions
9
What are the ways to classify variables?
Quantitative and qualitative variables
Independent and dependent variables
Discrete and continuous variables
All of the above
10
Continuous variables can assume finite number of values in an interval.
False
True
11
Examples of interval level of measurements
Temperature
IQ score
ACT score
Ranking of football players
12
Classify the rating of cooked ribs at a rib cook-off
interval-level measurement
ordinal-level measurement
nominal-level measurement
ratio-level measurement
13
Discrete variables are said to be countable.
False
True
14
Temperatures at a seashore resort
Example of continuous variable
Example of discrete variable
15
In a weight loss study, 52% of the group said that they lost weight by counting calories.
Example of inferential statistics
Example of descriptive statistics
16
Area of inferential statistics that is decision-making process for evaluating claims is called
Testing
Hypothesis testing
Samples
Probability
17
Variables whose values are determined by chance are called
random variables.
independent variables.
data values.
dependent variables.
18
Find the boundary for 18 inches.
18 - 19
17 - 19
18.5 - 19.5
17.5 - 18.5
19
A recent article stated that over 38 million U.S. adults binge-drink alcohol.
Example of descriptive statistics
Example of inferential statistics
20
Examples of nominal level of measurement
Zip codes
Subjects taught
Letter grades
Gender
21
How is a sample considered biased?
Both answers
Doesn't represent population from which it was selected
Results from sample different from results of census
Neither answer
22
Systolic blood pressure readings
Example of continuous variable
Example of discrete variable
23
Ratio-level data examples
Salary
Height
Weight
Time
24
What is a variable?
Attribute that can assume different values
Attribute that stays the same.
25
Inferential statistics is NOT
determining relationships among variables
making predictions
generalizing from populations to samples
performing estimations and hypothesis tests
26
Examples of ordinal level of measurement
Floats in a parade
Letter grades
IQ scores
Body build
27
Descriptive statistics consists of
describing and summarizing data.
collecting, organizing, summarizing and presenting data.
collecting and describing data.
collecting, organizing, and presenting data.
28
In 2025, the world population is predicted to be 8 billion people.
Example of descriptive statistics
Example of inferential statistics
29
What is the difference between a sample and a population?
Population is part of the sample.
Sample and population are the same.
Sample is a part of the population.
30
Find the boundary for 67.3 degrees.
67.3 - 68.3
65 - 70
67.25 - 67.35
67 - 68
