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Both
Descriptive research methods include:
None
Both
Observation
Survey
structured and undisguised
Examine the question type below.
How important is status to you in a sports car purchase? Would you say it is
_______ Extremely important
_______ Very important
_______ Not very important
_______ Not at all important
structured and undisguised
unstructured and undisguised
unstructured and disguised
structured and disguised
True
In survey research, all structure and disguise combinations are possible.
True
False
Cant say
data processing errors
Incorrect data entry errors are
instrument errors
interviewer errors
random sampling errors
data processing errors
random sampling error and systematic error
Total survey error is combined of
sample bias and measurement error
respondent error and measurement error
random sampling error and measurement error
random sampling error and systematic error
population
In 2016, MTV ratings in the 18-24 year old group in the USA were slipping. This group is important because younger teens and 25-35 year old adults look to this group for image and style ideas. MTV randomly dialed household numbers until they surveyed 1000 18 - 24 year old.
All 18 - 24 year olds in the USA is the _______ .
sample frame
element
sampling unit
population
sampling unit
In 2016, MTV ratings in the 18-24 year old group in the USA were slipping. This group is important because younger teens and 25-35 year old adults look to this group for image and style ideas. MTV randomly dialed household numbers until they surveyed 1000 18 - 24 year old.
The households are the _______ .
sample frame
population
sampling unit
element
sample frame
A __________ is created from a list of population characteristics from which a sample will be drawn.
parameter
statistic
element
sample frame
judgement sample
A non-probability sample in which the sample elements are handpicked because they are expected to serve the research purpose.
quota sample
snowball sample
convenience sample
judgement sample
cluster sample
A probability sampling plan in which (1) the parent population is divided into mutually exclusive and exhaustive subsets and (2) random sample of one or more subsets is selected.
cluster sample
simple random sample
systematic sample
stratified sample
true
Regression can help us explain the relationship between a dependent variable and one or more independent variables.
False
Cant say
True
yes
Confidence level can help determine the sample size.
No
Yes
Rephrase the question as: "How satisfied are you with the quality of our product?" with answer options ranging from "Very Dissatisfied" to "Very Satisfied.
A company is conducting a customer satisfaction survey to evaluate its new product. One of the questions on the survey is: "Do you agree that our product is high quality and meets all your needs?" Most customers respond with "Agree" or "Strongly Agree," regardless of their actual satisfaction level. This could be due to acquiescence bias. Which of the following changes to the question can help reduce this bias?
Keep the question the same, but add an open-text box for additional comments.
Rephrase the question as: "How satisfied are you with the quality of our product?" with answer options ranging from "Very Dissatisfied" to "Very Satisfied.
Change the question to: "Do you agree that our product has high quality?" with "Agree" or "Disagree" as answer options.
Ask, "Do you agree that our product is of average quality?" with "Agree" or "Disagree" as options.
ANOVA
Which test would you suggest to assess whether the salaries ($) differ by college degrees categories (bachelor's, master's, and PhD)?
ANOVA
One sample t-test
Cant say
Chi-square
false
In regression results, if a X variable has a p-value (significance level) greater than 0.05, then we can say that the variable significantly affects the outcome variable at 95% confidence level.
Undecided
True
False
false
In clustering process, generally dissimilar objects are grouped in same groups.
False
True
Not applicable
Variables moving in opposite direction
A researcher finds a correlation coefficient of -0.5 between price and demand. This implies:
Variables moving in same direction
Variables moving in opposite direction
cant say anything
Chi-square test
Which test is MOST appropriate to examine the relationship between two categorical variables?
Anova
Chi-square test
Cluster
Correlation
Outcome to be predicted
In regression, the dependent variable (Y) represents:
Input variables
Sampling frame
Outcome to be predicted
Cant say
Reject null hypothesis
In hypothesis testing, if p-value < 0.05, we:
Increase sample size
Accept null hypothesis
Reject null hypothesis
Ignore results
What customers think
Sentiment analysis of social media comments tells you:
What customers think
None
Who they are
How do they feel
Two scale (numerical) variables
To perform a correlation test, which types of variables must the researcher use?
One scale (numerical) and one categorical
None
Two categorical
Two scale (numerical) variables
Chi2 test
A marketing analyst wants to know if "Customer Loyalty Status" (e.g., Gold, Silver, Bronze) is related to "Preferred Store Location". Which test is most appropriate?
One sample t-test
None
Two sample t-test
Chi2 test
Anova
A marketing analyst wants to compare the average 'Monthly Spending' (scale) across different 'Age Groups' (categorical). Which statistical test should be used?
Cluster
Correlation
Chi2 test
Anova
Synthetic Personas
A digital marketer wants to get an initial understanding of different types of customers from a dataset of smartphone reviews? Which method is best suited?
Synthetic Personas
Sentiment Anlaysis
Regression
Word Cloud
Al hallucination and Bias
What is a significant risk associated with using AI tools for 'Synthetic Data Simulation' without human validation?
None
Only gives shorter answer
Al hallucination and Bias
Requires manual coding for every review
Brainstorming topics and generating initial hypotheses
AI tools are highly recommended for which of the following tasks in market consulting/research?
Running statistical tests independently
Finalising research design without expert review
Collecting real-world qualitative data from humans
Brainstorming topics and generating initial hypotheses
Only numerical variables
In market segmentation analysis, when using the k-means clustering method, the analyst must use:
A mixture of both scale and categorical variables
Only the dependent variable
Only categorical variables
Only numerical variables
Simple Random Sampling
In the sampling process, which technique ensures that every element of the population has an equal opportunity of being selected?
Simple Random Sampling
Quota Sampling
Convenience Sampling
Snowball Sampling
To filter out candidates who do not meet specific criteria for the study
What is the primary objective of using screening questions in a survey?
To increase the length of the survey
To provide the researcher's contact information
To explain the hypothesis to the respondent
To filter out candidates who do not meet specific criteria for the study
Leading question bias
A researcher asks: “Don’t you think our service is excellent?” This question suffers from:
Leading question bias
Nonresponse bias
No bias.
Sampling error