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STA 126- Introductory Statistics Chapter 1 Exam Questions and Complete Solutions Graded A+
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STA 126- Introductory Statistics Chapter 1 Exam Questions and Complete Solutions Graded A+
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STA 126- IntroductoryStatistics Chapter 1
Exam Questions and
Complete Solutions
Graded A+
Statistics - Answer: the science of collecting, organizing, summarizing, and analyzing data to draw
conclusions or answer questions.
Population - Answer: the entire group to be studied
Individual - Answer: a person or object that is a member of the population being studied.
Sample - Answer: a subset of the population that is being studied
Statistic - Answer: a numerical summary of a sample
Descriptive statistics - Answer: consist of organizing and summarizing data; describe data through
numerical summaries, tables, and graphs
Inferential statistics - Answer: uses methods to take a result from a sample, extend it to the population,
and measure the reliability of the result.
Parameter - Answer: a numerical summary of a population.
, Variables - Answer: used to describe various characteristics of individuals within a population
Qualitative variable - Answer: allows for classification of individuals based on some attribute or
characteristics.
Quantitative variable - Answer: provides numerical measures of individuals. The values of this type of
variable can be added or subtracted and provide meaningful results.
Discrete variable - Answer: a quantitative variable that either has a finite number of possible values or a
countable number of possible values. This type of variable cannot take on every possible value between
any two possible values; counting
Continuous variable - Answer: a quantitative variable that has an infinite number of possible values that
are not countable. It may take on every possible value between any two values; measuring
Data - Answer: observed values for a variable.
Level of Measurement - Answer: the mathematical precision with which the values of a variable can be
expressed
Nominal Level of Measurement - Answer: when the values of the variable name, label, or categorize and
does not allow for the values of the variable to be arranged in a rank or order.
EX: eye color
Ordinal Level of Measurement - Answer: when the values have the properties of the nominal level of
measurement but allows for ranking or ordering.
Interval Level of Measurement - Answer: Applies to data that can be arranged in order. In addition,
differences between data values are meaningful.; you can literally find the difference in the numbers
EX: temperature
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