Module 1.2 Basic Concepts in Inferential Statistics Flashcards
(38 cards)
Typically, statistics has two broad objectives: to _______ and to ________
to describe and to infer
refers to the tools used to describe a mass of data in a clear, concise, and informative way through the methods of organizing, summarizing, and presenting data
descriptive statistics
refers to the tools used to analyze the information from the sample to make generalizations or predictions about the population
inferential statistics
aims to generate information about the population given a sample from that population
inferential statistics
Differentiate descriptive and inferential statistics
Descriptive Statistics - refers to the tools used to describe a mass of data in a clear, concise, and informative way through the methods of organizing, summarizing, and presenting data
Inferential Statistics - refers to the tools used to analyze the information from the sample to make generalizations or predictions about the population; aims to generate information about the population given a sample from that population
Based on the data on recorded births from January to December 2021 in the Philippines, the most common baby names for males and females are Jacob and Althea, respectively.
What example of statistics is this?
descriptive statistics
True or False
A graphical presentation of the Philippine population by age group and gender is an example of inferential statistics
False, it is an example of descriptive statistics
The 2nd quarter 2023 Social Weather Survey (SWS) found that 45% of Filipino families consider themselves as poor. The June 2023 SWS was conducted from June 28 to July 1, 2023 using face-to-face interviews of a random sample of 1,500 adults nationwide.
This is an example of a/n _______ statistics
inferential statistics
Descriptive or Inferential
Since its first participation in 1924, the Philippines has won 14 medals at the Olympic games
Descriptive statistics
A student recenty read an article which says that 70% of UPLB students are satisfied with their choice of degree course. This was the result of a surve conducted to 7500 UPLB students registered last semester
Descriptive or Inferential?
Inferential Statistics
True or False:
A research firm conducted a survey to determine the Filipinos’ level of trust in foreign countries. Of the 1,800 respondents, 51% of them have little trust in China.
This is an example of a descriptive statistics
True, the 51% result is only describing the sample of 1800, not an entire population
The sample is gained from the ________ via the process ________; after characterizing the sample, the data obtained will be used to make __________ on the population, making use of the ________ method of drawing conclusions
bonus: Where is this process present?
population, sampling;
inferences and/or generalizations, inductive
Modified True or False:
the sample must be representative of the population under study
True
The only assurance if the sample is representative of the population comes from the ____________
method used to select the sample
In _______ sampling, elements are selected for the sample using an objective chance mechanism
probability sampling
________ sampling requires that each unit in the population has a known and non-zero chance of selection
bonus: explain what the statement meant as known and non-zero chance of selection
probability
bonus: non-zero chance means that everyone has a chance to be selected; known means that the probability to be chosen is known
also known as random samples
probability samples
probability samples allow the __________
drawing of valid generalizations about the population under study
samples are obtained haphazardly, selected purposively, or taken as volunteers
nonprobability sampling
Modified True or False:
In nonprobability sampling, the probabilities of selection are unknown
True
___________ samples should not be used for statistical inference
nonprobability samples
Types of Samples
Probability and Non-probability samples
characteristics of probability samples
bonus: another name for probability samples
- probabilities of selection are known and non-zero
- obtained using randomization (some objective chance mechanism)
- requires the use of sampling frame (complete listing of the elements of the universe)
- allows drawing of valid generalizations about the population
Basic probability sampling techniques
bonus: explain each
- simple random sampling - assigns equal probabilities of selection to each possible sample
- stratified random sampling - the universe is divided into stratas (mutually exclusive sub-universes) and an independent simple random samples are obtained from each stratum
- systematic random sampling - adopts a skipping patern in the selection of sample units
- cluser sampling - universe is divided into clusters (mutually exclusive sub-groups) and a random cluster will be selected and their elements will be considered the sample