topic 1 Flashcards

(27 cards)

1
Q

What are the learning outcomes of the statistics introduction?

A

Understanding uses, types, methods, and sources of statistics; types of variables; scales of measurement.

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2
Q

Why study statistics?

A

Statistical techniques are used to make decisions that affect our lives and careers.

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3
Q

What is the formal definition of statistics?

A

The science of collecting, organizing, presenting, analyzing, and interpreting numerical data to assist in making more effective decisions.

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4
Q

Who uses statistics?

A

Various fields including medicine, education, law, and business.

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5
Q

What are the two main types of statistics?

A
  • Descriptive Statistics
  • Inferential Statistics
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6
Q

What is descriptive statistics?

A

Methods of organizing, summarizing, and presenting data in an informative way.

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7
Q

What is inferential statistics?

A

A decision, estimate, prediction, or generalization about a population based on a sample.

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8
Q

Define ‘population’ in statistics.

A

A collection of all possible individuals, objects, or measurements of interest.

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9
Q

Define ‘sample’ in statistics.

A

A portion or part of the population of interest.

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10
Q

What is a parameter in statistics?

A

A summary measure of the whole population.

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11
Q

What is a statistic in statistics?

A

A summary measure computed from sample data.

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12
Q

What are primary sources of data?

A

Firsthand data collected by the investigator, e.g., interviews, surveys, experiments.

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13
Q

What are secondary sources of data?

A

Data taken from other investigators’ collections, e.g., reports from Bank Negara or Statistics Department.

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14
Q

What are the two main types of variables?

A
  • Quantitative
  • Qualitative
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15
Q

What are discrete variables?

A

Variables that are mostly integers or numbers used for counting.

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16
Q

What are continuous variables?

A

Variables obtained through measuring processes, e.g., length, age, height.

17
Q

What is a nominal scale of measurement?

A

Categorical data with no meaningful numeric value, e.g., gender, religion.

18
Q

What is an ordinal scale of measurement?

A

Categorical data that can be ranked, e.g., military rank, consumer satisfaction ratings.

19
Q

What is an interval scale of measurement?

A

Ordered data with consistent intervals but no true zero, e.g., temperature in Fahrenheit.

20
Q

What is a ratio scale of measurement?

A

Ordered data with a true zero point, where ratios are meaningful, e.g., weight, height.

21
Q

What is the highest scale of measurement?

22
Q

What is the lowest scale of measurement?

A

Nominal scale.

23
Q

What is an experimental study?

A

A study where the researcher manipulates the independent variable to see its effect on the dependent variable.

24
Q

What is an observational study?

A

A study where the researcher observes and draws conclusions based on observations.

25
What is a confounding variable?
A variable that influences the dependent variable but cannot be separated from the independent variable.
26
Fill in the blank: A ______ is a small survey taken in advance before major observations.
Pilot study
27
True or False: Secondary data is always more accurate than primary data.
False