Geninvo Technologies Interview Questions and Answers

Q1. Introduce yourself, witha brief of your personal and professional background.
Ans. 
I am a dedicated and experienced field interviewer with a background in sociology and data collection.
• Bachelor's degree in Sociology from XYZ University

• 3+ years of experience in conducting surveys and interviews

• Proficient in data collection and analysis software such as SPSS

• Excellent communication and interpersonal skills

• Previous experience working on research projects related to social issues
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Q2. What are your positive and negative sides, why do you think that you are the best choic for this organization?
Ans. 
I am a dedicated and detail-oriented individual with strong communication skills.
• Positive side: Strong communication skills help in conducting effective interviews.

• Positive side: Detail-oriented nature ensures accurate data collection.

• Negative side: Can be overly meticulous at times, leading to slower progress.

• Negative side: May struggle with handling difficult interviewees.

• Best choice: Dedication to thorough and accur...read more
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Coomon aptitude test, reasoning, maths, general intelligence.

Q1. What is your present CTC, and what is your expectation?
Ans. 
My present CTC is $60,000 per year, and my expectation is around $70,000 per year.
• Present CTC: $60,000 per year

• Expectation: Around $70,000 per year
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Q2. How will you manage in a diverse environment, when you have only experience in a closed customer environment?
Ans. 
I will adapt by actively listening, being open-minded, seeking feedback, and learning about different cultures.
• Actively listen to others to understand their perspectives

• Be open-minded and willing to learn about different cultures

• Seek feedback from colleagues to improve communication and understanding

• Participate in diversity training or workshops to enhance cultural competence
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Q1. Not Acceptable to disclose
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Q2. Not Acceptable to disclose
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Q1. Not Acceptable to disclose
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Q2. Not Acceptable to disclose
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Q1. Project based discussion
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Q1. Project based questions
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Q1. Electricals instmant maintains
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Q2. Instmant maintains repair work
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Q3. I like my job
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Q1. Which project are you currently working on? What statistical techniques are you planning to use in the project?
Ans. 
I am currently working on a project analyzing customer behavior in an e-commerce platform.
• Using regression analysis to identify factors influencing customer purchase decisions

• Applying clustering techniques to segment customers based on their behavior

• Utilizing hypothesis testing to determine the effectiveness of marketing strategies
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Q2. Follow up to previous - What is t-test? What are some assumptions/criteria the data needs to fulfill for applying the t-test? Some questions about t distribution.
Ans. 
T-test is a statistical test used to determine if there is a significant difference between the means of two groups.
• T-test is used to compare the means of two groups to see if they are significantly different.

• Assumptions for t-test include normal distribution of data, independence of observations, and homogeneity of variances.

• There are two types of t-tests: independent samples t-test and paired samples t-test.

• T-distrib...read more
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Q3. What is the difference between descriptive and inferential statistics? Give an example to support the same.
Ans. 
Descriptive statistics summarize data, while inferential statistics make predictions or inferences about a population based on a sample.
• Descriptive statistics describe the main features of a dataset, such as mean, median, and standard deviation.

• Inferential statistics involve making predictions or inferences about a population based on a sample, using techniques like hypothesis testing and confidence intervals.

• Example: ...read more
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Q4. In descriptive statistics, what are the different techniques? Explain kurtosis and it's three types.
Ans. 
Descriptive statistics techniques include measures of central tendency, dispersion, skewness, and kurtosis.
• Measures of central tendency include mean, median, and mode.

• Measures of dispersion include range, variance, and standard deviation.

• Skewness measures the asymmetry of the data distribution.

• Kurtosis measures the peakedness or flatness of the data distribution.

• The three types of kurtosis are mesokurtic (normal distri...read more
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Q5. What is box plot? Why is it used? How do we assess the skewness of distribution from the box plot?
Ans. 
Box plot is a visual representation of the distribution of a dataset, used to identify outliers and assess skewness.
• Box plot displays the median, quartiles, and potential outliers of a dataset.

• It is used to visually assess the spread, skewness, and presence of outliers in the data.

• Skewness can be assessed from the box plot by observing the relative lengths of the whiskers and the position of the median.
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Q6. What is p-value? Explain in layman terms and give an example.
Ans. 
P-value is a measure that helps determine the strength of evidence against the null hypothesis in statistical hypothesis testing.
• P-value is the probability of obtaining results as extreme as the observed results, assuming the null hypothesis is true.

• A low p-value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, leading to its rejection.

• For example, if a study comparing two drugs shows a p-value...read more
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Q7. Explain when ANOVA is used. What assumptions need to be fulfilled before testing with ANOVA?
Ans. 
ANOVA is used to compare means of three or more groups. Assumptions include normality, homogeneity of variances, and independence.
• ANOVA is used to compare means of three or more groups to determine if there is a significant difference among them.

• Assumptions for ANOVA include normality of data within each group, homogeneity of variances between groups, and independence of observations.

• Example: ANOVA can be used to compa...read more
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Q8. What is degree of freedom, and what does it signify? What is the real interpretation of the degree of freedom?
Ans. 
Degree of freedom represents the number of independent values or quantities which can be assigned to a statistical distribution.
• Degree of freedom is the number of values in the final calculation of a statistic that are free to vary.

• In simple terms, it signifies the number of independent pieces of information available to estimate a parameter.

• For example, in a t-test, the degree of freedom is n-1, where n is the sample ...read more
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Q9. What do you know about clinical trials? What are it's phases and in each phase how the sample size is determined?
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Q10. Some resume based question on previous internship.
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