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WorksheetsMB24BRM
Total questions: 73
Worksheet time: 55mins
Which of the following is NOT a characteristic of a good research problem?
Feasibility
Clarity
Subjectivity
Novelty
The first step in identifying a research problem is:
Data collection
Literature review
Formulating a hypothesis
Selecting a statistical tool
A research problem should be:
Vague and broad
Specific and researchable
Based on assumptions only
Without any theoretical foundation
Which source is commonly used to identify research problems?
Personal experiences
Newspapers
Social media
All of the above
Which one among the following statement is true in the context of the testing of hypotheses?
It is only the alternative hypotheses that can be tested.
It is only the null hypotheses that can be tested.
Both the alternative and the null hypotheses can be tested.
Both the alternative and the null hypotheses cannot be tested.
The gap between existing knowledge and the desired knowledge defines:
Research objectives
Research problem
Sampling technique
Hypothesis
What are the conditions in which Type-I error occurs?
The null hypotheses get accepted even if it is false
The null hypotheses get rejected even if it is true
Both the null hypotheses as well as alternative hypotheses are rejected
None of the above
What is the correct sequence of the research process?
Data collection → Problem identification → Literature review → Analysis
Problem identification → Literature review → Research design → Data collection → Analysis → Conclusion
Literature review → Data collection → Research design → Conclusion
Research design → Literature review → Problem identification → Data collection
The research process begins with:
Data collection
Problem formulation
Hypothesis testing
Report writing
A pilot study is conducted to:
Finalize research questions
Identify potential sampling errors
Test the feasibility of the study
All of the above
Data analysis is done:
Before hypothesis formulation
After data collection
Before problem identification
After report writing
The final step in the research process is:
Data collection
Research design
Report writing and presentation
Sampling
Rachel is interested in learning the effect of using a celebrity endorsement on sales. The presence or absence of a celebrity endorsement is the (a) variable.
Research objectives should be:
Vague and general
Specific and measurable
Long and descriptive
Only qualitative
Which of the following is NOT a type of research objective?
Exploratory
Descriptive
Causal
Speculative
A SMART research objective is:
Simple, Measurable, Action-oriented, Realistic, Timely
Specific, Measurable, Achievable, Relevant, Time-bound
Scientific, Meaningful, Accurate, Reliable, Transparent
Specific, Meaningful, Authentic, Researchable, Testable
Research questions help in:
Developing a hypothesis
Selecting a research design
Choosing appropriate data collection methods
All of the above
A sample is a
Complete data set
Subset of a population
The entire target group
None of the above
Which one is called non-probability sampling?
Quota sampling
Cluster sampling
Systematic sampling
Stratified random sampling
Which of the following is a probability sampling technique?
Convenience sampling
Quota sampling
Random sampling
Snowball sampling
Which type of non probability sampling technique involves choosing participants arbitrarily for their unique characteristics, experiences, attitudes, or perceptions?
Random sampling
Purposive sampling
Convenience sampling
Snowball sampling
To ride the roller coaster ride at an amusement park, customers must report their weight to the ride attendant. Which of the following characteristics are exhibited by weight?
Classification only
Classification and order
Classification, order, and distance
Classification, order, distance, and origin
The main advantage of probability sampling is:
It reduces time and cost
It ensures every unit has an equal chance of selection
It does not require a sampling frame
It is subjective
In PSPP, the "Transform" function is used to:
Create new variables
Modify existing data
Compute values
All of the above
The "Compute Variable" function in PSPP is used to:
Create new numerical variables based on calculations
Transform categorical variables
Generate frequency tables
Test hypotheses
Which statistical test in PSPP is used to check reliability?
t-test
ANOVA
Cronbach's Alpha
Chi-square
The purpose of descriptive statistics in PSPP is to:
Summarize data
Perform inferential analysis
Predict future values
Test hypotheses
Measures of central tendency in PSPP include:
Mean, median, and mode
Variance and standard deviation
Range and interquartile range
All of the above
Which descriptive statistic is used to measure data dispersion?
Mean
Standard deviation
Mode
Median
The "Reliability Analysis" feature in PSPP helps to measure:
Consistency of a scale
Data normality
Causal relationships
Correlation
Descriptive statistics help in:
Summarizing and organizing data
Testing hypotheses
Determining causal relationships
All of the above
PSPP is commonly used as an alternative to:
Excel
SPSS
Stata
R
Descriptive research objectives focus on:
Explaining the characteristics of a phenomenon
Establishing cause and effect
Developing a new theory
Testing a hypothesis
An explanatory research objective aims to:
Describe an event
Compare two datasets
Identify cause-and-effect relationships
Collect numerical data
Which of the following is a good research question?
"Why is marketing important?"
"Is there a relationship between social media marketing and consumer engagement in the Indian retail industry?"
"How does the internet work?"
"What are all the types of leadership?"
The best sampling technique for a large and diverse population is:
Convenience sampling
Stratified random sampling
Snowball sampling
Quota sampling
A key disadvantage of non-probability sampling is:
It is costly
It takes too much time
It may not represent the entire population
It is always more accurate than probability sampling
The output of the Descriptive Statistics function in PSPP includes:
Mean, median, standard deviation, and variance
Regression coefficients
ANOVA results
t-test values
If the standard deviation of a dataset is high, it indicates:
Greater variability in the data
Low reliability
High accuracy
No variability
In PSPP, which function is used to test relationships between two categorical variables?
Chi-square test
t-test
ANOVA
Regression
What does a p-value of less than 0.05 indicate in statistical testing?
The null hypothesis is true
There is a statistically significant result
The data is unreliable
The test should be repeated
Which function in PSPP can be used to categorize a continuous variable into groups?
Recode into Different Variables
Compute Variable
Descriptive Statistics
Select Cases
The primary reason to conduct exploratory data analysis in PSPP is to:
Avoid research questions
Skip data cleaning
Understand patterns, trends, and distributions in the dataset
Modify the research problem
Which statistical test is appropriate for comparing means between two groups?
Chi-square test
Independent Samples t-test
Pearson correlation
Descriptive statistics
What is the key difference between mean and median?
Mean is always higher than the median
Median is less affected by extreme values than the mean
Mean is the middle value of a dataset
Median can only be used for large samples
In PSPP, the "Select Cases" function is used to:
Compute new variables
Filter specific cases for analysis
Transform data
Change variable types
If Cronbach's Alpha is 0.90, the scale is considered:
Unreliable
Highly reliable
Poorly designed
Invalid
Which of the following is an example of inferential statistics in PSPP?
Calculating mean and standard deviation
Creating frequency tables
Hypothesis testing
Which of the following is an example of inferential statistics in PSPP?
Calculating mean and standard deviation
Creating frequency tables
Hypothesis testing (e.g., t-test, ANOVA)
Recoding variables
A statistical technique that describes two or more variables simultaneously and results in tables that reflect the joint distribution of two or more variables that have a limited number of categories or distinct values is a(n) _____.
t test
ANOVA
factor analysis
cross-tabulation
Regression analysis
Regression analysis seeks to _____.
predict Y using X values
evaluate differences between X and Y
determine whether X and Y are part of the same construct
determine whether the means of X and Y are significantly different
_____ is a measure of the relative peakedness or flatness of the curve defined by the frequency distribution.
Deviation
Point estimate
Standard error
Kurtosis
Which of the following statistical techniques identifies patterns underlying combinations of the original variables capable of summarizing the original set?
Factor analysis
Multivariate analysis of variance
Cluster analysis
Multidimensional scaling
A manager at a retail company wants to know if there is a relationship between advertising expenses and monthly sales. She collects data for six months and calculates the correlation coefficient as **r = 0.85**. What does this indicate?
Advertising expenses and sales are weakly related
Advertising expenses and sales are strongly related in a negative direction
Advertising expenses and sales are strongly related in a positive direction
Advertising expenses and sales have no relationship
A research study finds that ice cream sales and drowning incidents have a strong positive correlation. What is the most appropriate conclusion?
Eating ice cream causes drowning
There is a common factor (temperature) influencing both
Drowning incidents cause people to buy ice cream
There is no relationship between the two variables
A company is analyzing the relationship between employee experience (in years) and salary. The correlation coefficient is **r = -0.3**. What does this mean?
As experience increases, salary decreases slightly
Experience and salary are not related
Salary increases significantly with experience
The relationship is perfectly negative
If the correlation between two variables is **zero**, what does it mean?
The variables are not related
One variable causes the other
The variables have a strong positive relationship
The variables have a strong negative relationship
A company uses **regression analysis** to predict employee productivity based on training hours. The regression equation is **Productivity = 50 + 2(Training Hours)**. What is the predicted productivity for an employee with **10 training hours**?
60
70
100
50
A business analyst builds a regression model to predict monthly sales based on advertising spending. The R² value is **0.90**. What does this indicate?
90% of the variation in sales is explained by advertising spending
The model is poor in predicting sales
Advertising spending and sales have no relationship
Advertising spending is the only factor affecting sales
In a regression model predicting customer satisfaction from service quality and pricing, the coefficient of pricing is **-0.5**. What does this mean?
As price increases, customer satisfaction decreases
As price increases, customer satisfaction increases
Price and customer satisfaction are independent
The relationship between price and satisfaction is positive
If a regression model includes an **independent variable that does not significantly affect the dependent variable**, what should be done?
Keep it in the model
Remove it to improve model accuracy
Change the dependent variable
Increase the number of observations
A company wants to compare employee satisfaction levels across three departments (HR, Finance, and Marketing). Which test should be used?
Correlation
Regression
ANOVA
t-test
An ANOVA test is conducted to compare the effectiveness of **three different training programs**. The p-value is **0.03**. What does this indicate?
At least one training program is significantly different from the others
All training programs are equally effective
There is no significant difference between training programs
The results are not statistically significant
A hotel chain analyzes customer ratings across **five locations**. The F-statistic in the ANOVA output is **high**, and the p-value is **low**. What should the hotel conclude?
There is a significant difference in customer ratings across locations
All locations have the same customer ratings
Customer ratings are not dependent on location
ANOVA is not the right test to use
If an ANOVA test finds a significant difference, what should be done next?
Stop the analysis
Conduct a **post hoc test** to identify specific differences
Assume all groups are the same
Change the significance level
A company wants to compare the **average salaries** of **male and female employees**. Which test should they use?
Correlation
Regression
t-test
Chi-square
A startup compares the **mean revenue before and after launching a new marketing campaign**. Which test should be used?
Independent t-test
Paired t-test
Chi-square test
Regression
A study examines whether there is a **significant difference in customer satisfaction scores** between two coffee brands. The p-value from the t-test is **0.08**. What can be concluded?
There is a significant difference
There is **no significant difference**
The brands are identical
The test was conducted incorrectly
A restaurant chain uses a **one-sample t-test** to check if the **average bill amount** is different from ₹500. The test results show a **p-value of 0.001**. What does this mean?
The average bill is **significantly different** from ₹500
The average bill is exactly ₹500
The test was not needed
The test is invalid
A retail store wants to check if **customer preferences** for product categories (Electronics, Apparel, and Home Decor) differ based on **gender**. Which test is appropriate?
ANOVA
Regression
Chi-square test
t-test
A **university** is investigating whether students' **preferred study methods (Online vs. Offline)** are related to their **degree program (MBA vs. BBA)**. Which test should be used?
Chi-square test
Regression
ANOVA
t-test
A fast-food chain surveys customers about their **preferred menu item (Burger, Pizza, or Pasta)** and their **age group (Teens, Adults, Seniors)**. A **Chi-square test** is performed, and the p-value is **0.002**. What should they conclude?
Food preference **significantly differs** by age group
All age groups prefer the same food
The relationship is not significant
The test result is invalid
A **Chi-square test of independence** finds a **p-value > 0.05** when analyzing the relationship between **payment method (Cash vs. Card) and Customer Age Group**. What does this mean?
Payment method and age group are independent
Payment method and age group are related
The test was conducted incorrectly
The results must be discarded
