Chapter 1 Flashcards
(44 cards)
Types of statistics
Descriptive & Inference
What’s descriptive statistic?
Involves the collection, organization, summarization and presentation of the data.
What’s inference statistic?
Consist of generalizing from samples to population.
What’s Data?
Collections of observations
What’s population and sample?
Population : The complete collection of all the individuals to be studied
Sample : Collection selected from a population
A graduate student conduct a research study on undergraduate student smoking habit. She begins with a survey to 500 randomly selected undergraduate students from 10 randomly selected universities. The 500 students form a sample or population?
Sample
A graduate student conduct a research study on on undergraduate student smoking habit. She begins with a survey to 500 randomly selected undergraduate students from 10 randomly selected universities. The undergraduate students from universities form a sample or population?
Population
What’s a numerical measurement describing some characteristic of a population?
Parameter
” Mean and standard deviation are both parameters”
What’s a numerical measurement describing some characteristic of a sample?
Statistics
” The sample mean and the sample standard deviation are both statistics”
In studying the loggerhead turtle, scientists observe the average mean number of hatchling in all 253 nests. Is the given value a parameter or statistics?
Parameter because “ population “
A sample of batteries lasted an average mean of 9 days. Is the given value a parameter or statistics?
Statistics “sample “
Any quantity that varies. Can have different values
Variables
Two types of variables
Qualitative & Quantitative
Consist of names or labels representing categories
Qualitative
Consist of numbers representing counts or measurements
Quantitive
Types of qualitative
Nominal & Ordinal
Types of quantitative variables
Continuous & Discrete
Result when the number of possible values is either a finite number or a countable number (0, 1, 2, 3, 4, 5) z
Ex: The number of eggs that a hen lays. What kind of data?
Discrete Data
Result from infinitely many possible values that covers a range of values without gaps, interpretations, jumps.
Ex : The amount of milk that a cow produce 2.3728282 gallons per day.
What kind of data?
Continuous Data
The categories have no relation to each other and can’t be arranged in a specific order. Ex: blood groups and gender.
What kind of data?
Nominal Data
Compare between dichotomous and multi-chotomous?
Dichotomous: there are only one of two alternatives of the nominal variables. “Gender”
Multi-chotomous : there are more than two categories. “ blood group”
This kinds of variables have natural order or progression. Ex: low, middle, high. What kind of data?
Ordinal Data
A sample of dall sheep is measured to have an average mean horn length of 35.7 inches. Is the given value a discrete or continuous?
Continuous
The number of hatchlings from a sample of 45 bluebird nests is 135. Is the given value a discrete or continuous?
Discrete