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STA 126- Introductory Statistics Chapter 1 Exam Questions and Complete Solutions Graded A+ $14.49   Add to cart

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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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  • November 4, 2024
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STA 126- Introductory
Statistics 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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