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STA 2023 Chapter 1 Exam Questions and Complete Solutions Graded A+
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STA 2023 Chapter 1 Exam Questions and Complete Solutions Graded A+
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STA 2023 Chapter 1Exam Questions and
Complete Solutions
Graded A+
What is statistics? - Answer: 1.science of collecting, analyzing, presenting and interpreting data and
making decisions on analysis
2. numerical facts
Theoretical Statistics - Answer: deals with the development,derivation and proof of statistical theorems,
formulas, rules and laws.
(KEYWORD: mathematical)
Think of this aspect of statistics as the one responsible for developing formulas we will use in later
chapters.
Applied Statistics - Answer: application of theorems, formulas, rules and laws to solve real-world
problems
This is the type of statistics we will use in class.
Two Types of Applied Statistics:
1. Descriptive
2. Inferential
, Descriptive Statistics - Answer: methods for organizing, displaying and describing data by using graphs,
tables and summary measures
efficient and effective methods for summarizing and analyzing information
(KEY TERMS: data, data set, variable, observations, element)
data/data set - Answer: collection of all observations of a survey for one or more variables
variable - Answer: characteristic being studied, assumes different values for different elements
(example: household incomes, types of cars owned by people, total revenue for a number of companies)
element - Answer: (member; observational unit), specific object from a group being studied
(example: person,item,state, country, company)
observation - Answer: (measurement), individual values of the variable that are observed
IDENTIFY: data set(s), elements, observations and variables
(answers appear on the next card) - Answer:
ANSWERS to IDENTIFY: data set(s), elements, observations and variables - Answer: see Chapter 1
statistics handout in ASC for answers!!
Inferential Statistics - Answer: (inductive reasoning or inductive statistics), consists of methods that use
sample results to help make decisions or predictions about a population
(KEY TERMS: population, sample)
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