MR Test 1 Flashcards
(97 cards)
Market Research
systematic search to produce information about market characteristics, e.g., trends, size of the market, company, industry, country information
Marketing Research
systematic research to aid marketing decisions
Statistic
a single figure E.g., drowsiness contributes to 10,000 auto deaths a year.
Statistics
a collection of figures E.g., baseball stats
What is the process for Data to Decision?
Data (raw data)-> Process (gather, organize, analyze, interpret-> information -> processing the information -> decision
How is information used?
1) Managers use information to make decisions.
2) Managers use marketing information to make marketing decisions.
How are statistics misused?
It all depends on how they are interpreted and presented.
What are the 2 broad ares of statistics?
1) Descriptive statistics
2) Inferential statistics
Descriptive statistics
gathers, organizes, analyzes, and presents numerical data.
Inferential statistics
main concern is to find out something about a population based on a sample taken from that population.
What does N stand for?
Population
Population
“N” Consists of all the individuals/ objects/ measurements we are interested in.
Census
A count or polling of the entire population
Sample
A portion or subset or part of the population of interest “n”
Sample Unit
refers to individual units or members of the sample
How should a sample be taken?
As a representative part of a population.
1) it should be selected from the population under study
2) The sample tries to estimate the population
Variable
A measurable factor that changes, or varies
Constant Variable
factor that does not change
Independent variable
a factor that causes or brings about a change (e.g., money spent on advertising)
Dependent variable
a factor that is changed (by the independent variable) (e.g., sales)
Variability
the amount of dissimilarity (e.g., in respondents’ answers to a particular question)
Qualitative variable
the characteristic or variable being studied is nonnumeric in nature eg. Gender, religious affiliation, eye color, state of birth
Quantitative variable
when the variable can be reported numerically
eg. Balance in your checking account, ages of company presidents, life of a battery, speed of cars traveling on the Interstate, number of children in a family
Demographics
Characteristics of the population under study Age Income Gender Family size Occupation Education Religion Socio-economic status