1Statistics
Is the science of collecting, organizing, summarizing, and analyzing information to draw conclusions, or answer questions.
2Data
Are a fat position used to draw a conclusion or make a decision
3 what is the goal of statistics?
is to describe, and understand the sources of variability
4 population
The entire group of individuals to be studied
5 statistic
Numerical summary, based on an example
6 descriptive statistics
Consists of organizing and summarizing data descriptive. describes data through graphs and tables.
7Inferential statistics
Uses methods that take results from a sample and extend them to the population in measures the reliability of the result
8 what is the difference between a statistic and a parameter?
DP ER in parameter means population in the SAT in sample equals the piece of the whole proportion
9 the process of statistics
One, identify the research objective. Two, collecting the data needed for question one. Three, describe the data. In for perform inference.
10 Variables
Are characteristics of the individuals within a population
11 qualitative variable
Allow classification of individuals based on some attribute or characteristic
12 quantitative variable
Provides numerical measures of individuals. The values of a quantitative variable can be added or subtracted.
13Discrete variable
Is a quantitative variable that has either a finite number of possible values or a countable number of values
14 continuous varibable
is a quantitative variable that has an infinite number of possible values that are not countable
154 types of Level of Measurement
1. Nominal, 2. ordinal 3. Interval 4. Ratio
16 nominal level of measurement
Is characterized by day-to-day consists of labels, names, or categories. the data cannot be arranged in an ordering scheme. ex) hair color, gender
17The ordinal level of measurement
If it has a name or label, however, the naming scheme allows for the variables to be arranged ex) Education level
18 interval, level of measurement
If it has the properties of an ordinal level of measurement in the ratios of the values of the variable, have a meaning. ex) temp
19 ratio level of measurement
The highest level of measurement if the ratio scale. What sets it apart from the interval scale of measurement is the presence of an absolute zero. When measurement scale has an absolute zero, then the zero stands for the absence of the measurement being measured.
20 observational study
When a researcher randomly assigned the individuals in a study to groups, manipulates the variable in control, then records the value of each individual
21Cofounding
when the effects of two or more explanatory variables are not separated
22Lurking variable
a variable that researchers do not include in a statistical analysis, but it can still affect the outcome
23 cofounding variable
something that potentially affects the results of a study but is not accounted for in the study itself.
24 cross-sectional study
observational studies that collect information about individuals at a specific point in time, over a short period of time
25 case control study
The studies are retrospective meaning they require individuals to look back in time or look at existing records
26 cohort study
Cohort study first identifies the group of individuals to participate. The cohort is dead, observed over a long period of time once the characteristics are recorded.
27 In research, we wish to determine how varying the amount of an --------- affects the value of a ______
explanatory, variable/ responsible variable
28census
A list of all individuals within a population along with characteristics of the individual
29 web scraping or data mining
The process of extracting data from the Internet
30 Random sampling
is the process of using chance to select individuals from the population to be included in the sample
31 convenience samples
Samples in which the individuals are easily obtained, and not based on randomness
32 simple, random sample
a type of probability sampling in which the researcher randomly selects a subset of participants from a population
33Stratified sample
researchers
34 systematic sample
a probability sampling method where researchers select members of the population at a regular interval
35 cluster sample
Obtained by selecting all individuals within a randomly selected group
36 Random sampling
The process of using chance to select individuals from a population to be included in the sample
37 convenience sample
Our samples in which the individuals are easily obtained, and not based on randomness
38 simple, random sample
Every member of the population has a known an equal chance of selection
39 sampling bias
Individuals tend to favor, one part of the population of another
40under coverage
This occurs when the population of one segment is lower in a sample than it is in the population
41 nonresponse bias
where individuals selected to be in the sample who do not respond to the survey have different opinions from those who do
42Response bias
When the answers on a survey, do not reflect the true feelings of the respondent
43 Data entry error
Leads to results that are not representative of the population
44 nonsampling error
Arizona results from sampling bias, nonresponse, bias, response, bias, or data entry error. Search areas to be present in a complete sentence of a population.
45 Singapore air
Is an error that results from using a sample to estimate the information about a population
46Experiments
Is a control study to determine the effect, varying, one or more explanatory, variable, or factors have on a response variable
47 important characteristics of experiments
1. the experiment unit 2. a control group 3. placebo 4. blinding
48Blinding
refers to the nondisclosure of a treatment that is experimental the unit is reciving
49Single blind experiement
the participants do not know what treatment groups they are in, but the researchers interacting with them do know.
50Double blind experiment
he participants do not know what treatment groups they are in, but the researchers interacting with them do know.