ALS TESTING SERVICES Interview Questions and Answers

Q1. Electricals instmant maintains
Add your answer
Q2. Instmant maintains repair work
Add your answer
Q3. I like my job
Add your answer

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
Answered by AI
Add your answer
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
Answered by AI
Add your answer
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
Answered by AI
Add your answer
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
Answered by AI
Add your answer
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.
Answered by AI
Add your answer
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
Answered by AI
Add your answer
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
Answered by AI
Add your answer
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
Answered by AI
Add your answer
Q9. What do you know about clinical trials? What are it's phases and in each phase how the sample size is determined?
Add your answer
Q10. Some resume based question on previous internship.
Add your answer

Q1. Explain your project
Ans. 
Developed a predictive model for customer churn using machine learning algorithms
• Used R programming language to clean and preprocess customer data

• Implemented various machine learning algorithms such as Random Forest and Logistic Regression

• Evaluated model performance using metrics like accuracy, precision, and recall
Answered by AI
Add your answer
Q2. What metrics you used to test the models deployed
Ans. 
I use metrics such as accuracy, precision, recall, F1 score, ROC-AUC, and confusion matrix to test the models deployed.
• Accuracy: measures the overall correctness of the model

• Precision: measures the proportion of true positive predictions among all positive predictions

• Recall: measures the proportion of true positive predictions among all actual positives

• F1 score: balances precision and recall

• ROC-AUC: measures the area u...read more
Answered by AI
Add your answer
Q3. How well versed are you with JavaScript?
Ans. 
I have a basic understanding of JavaScript and can work with it to some extent.
• Familiar with basic JavaScript syntax and concepts

• Able to manipulate DOM elements using JavaScript

• Have experience working with JavaScript libraries like jQuery
Answered by AI
Add your answer
Q4. Can you provide an example of integrating R with JavaScript?
Ans. 
Yes, R can be integrated with JavaScript using the 'shiny' package to create interactive web applications.
• Use the 'shiny' package in R to create interactive web applications

• Use the 'htmlwidgets' package to embed interactive R visualizations in web pages

• Utilize the 'r2d3' package to create D3 visualizations in R and embed them in web applications
Answered by AI
Add your answer
Q5. Which modules do you use in R to import Javascript?
Ans. 
The 'V8' package in R is used to import and execute JavaScript code.
• Use the 'V8' package in R to import and execute JavaScript code.

• Install the 'V8' package using install.packages('V8').

• Load the 'V8' package using library(V8).

• Use the v8() function to create a new V8 context and execute JavaScript code.
Answered by AI
Add your answer

GD was with 2 team members and a director level person. Technical questions were asked by both team members which were around project management and fairly easy. Director level person, however, was more of a rude personality manager whose choice of interviewing involved asking a question and then interrupting the answer saying you should use only a single word. Question was "tell me about a time you had to deal with opposing ideas in a group setting". Considering the fact that I both worked and conducted sprints, this was right up my alley. I obviously went in for explaining the event using the STAR method (as the question itself was tell me about a time?) but she was adamant about a word. So i said what word i thought best and proceeded to explain event and then it was another question and another argument. 0 interest in hearing out my actual answer to that question. As this company is similar to my previous organization, I thought i will be patient during interview but she was only interested in arguing throughout. No semblance of interviewing, just plain brash rudeness and tyrant like behavior. 0/10 for interview, do not interview with this team or work under/for this person clearly. Employers need to get these egotistical directors in line who do not even understand how to conduct an interview or even have basic sense when talking with a stranger

Q1. Control systems, Power systems basics
Add your answer
Q2. PLC PROGRAMMING
Add your answer

Mathematical prblms , hypothetical questions

Q1. What is your weakness
Add your answer
Q2. Procrastination
Add your answer

Q1. Self interest and other culture
Add your answer
Q2. Work experience and work basis
Add your answer
Q3. Manufacturing process and work
Add your answer