When to use ANOVA test in machine Learning | Data Science Interview Questions and Answers
Interviews for Top Jobs at Anova
Territory Development Manager Interview
I applied online. The process took 3 months. I interviewed at Anova
Interview
I applied online and the next day received an invitation to take an assessment as the first step in the process. The assessment took more than an hour to complete and was heavy on personality questions and surprisingly heavy on LinkedIn questions (how do I use it, what is my social score, how many connections do I have, etc.). After completing the assessment, I heard nothing for almost three months, when I received a form rejection email from “ANOVA HR” – no name or feedback. The company claims that people come first, that the treat people well, and our open about what they do, but this does not apply to applicants apparently. They have no problem wasting potential employee’s time and not treating them with respect.
- I was sent an assessment that took over an hour of my time to complete, then heard nothing from the company, with no way to follow up. Three months later, I received a form rejection email with no name or explanation.
Sales Representative Interview
I applied online. The process took 3 weeks. I interviewed at Anova (Minneapolis, MN)
Interview
Ridiculous, and unstructured, HR continued to confuse which role I was applying for?Actually assumed I could not handle rejection when I asked for feedback after being declined for a role in a state where I did not reside? Is this basic un-professionalism or rank ineptitude? Having held and performed successfully at a number of Sales/Sales Management roles over the past 20 years I believe I no how to handle rejection and how to gain from the client the reasons why they choose to go in a different direction (I think it is called follow-up for feedback, something the folks at ANOVA might try and learn a thing or two about).As it stands, I dodged a bullet, receiving an offer for a Director level role the same day!
- Basic resume and experience questions
RBT – Registered Behavior Technician Interview
I interviewed at Anova
Interview
Super easy! I went in to the interview and they asked me a series of questions and also asked for my resume. I told them I had a preference for schools (in terms of disctricts) and they placed me in that district,
- Tell me about your experience working with children.
From broad mathematical discipline — Statistics, In this post I have listed top 10 Data Science interview questions based on the current Interview trend and my past 4 company’s (Check out the Linkedin Profile here) interview experience:
Ans: Point Estimation gives us a particular value as an estimate of Population parameter. Method of Moments and Maximum Likelihood estimator methods are used to derive Point Estimators for population parameters.
From above plot, P-value tells us that if the null hypothesis H0: μ = 50 is true, the probability of obtaining a random sample whose mean is at least as far from 50 as 51.3 and 48.7 is 0.038. Therefore, an observed sample mean of 51.3 is a rarely event if the null hypothesis is true. So, we reject the null hypothesis at 5% level.
Make sure you are well verse with all the three measures before entering into Interview room. Important Points need to remember:
So keep in mind: P-value helps the statistician to draw conclusions on Null hypothesis and is always between 0 and 1.
Differentiate Between Data Analytics and Data Science
Data Analytics |
Data Science |
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Data Analytics use data to draw meaningful insights and solves problems. |
Data Science is used in asking questions, writing algorithms, coding and building statistical models. |
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Data analytics tools include data mining, data modelling, database management and data analysis. |
Machine Learning, Hadoop, Java, Python, software development etc., are the tools of Data Science. |
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Use the existing information to uncover the actionable data. |
As a result, data Science discovers new Questions to drive innovation. |
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Check data from the given information using a specialised system and software. |
This field uses scientific methods and algorithms to extract knowledge from unstructured data. |
These are some questions that are related to statistics
Answer: Hypothesis testing is one of the statistical analysis where we test the assumption made for any particular situation. While testing some assumption which was claimed to be true I performed the hypothesis testing where the null hypothesis was that whatever claimed results to be true and the alternate hypothesis was that whatever claim was made was false.
Answer: P-value which is also know as probability value, it the probability of null hupothesis to be true. It sets the rule to reject null hypothesis.
If the p-value is less than the significance value then we reject the null hypothesis or else accept it.
If the p-value falls in the 95% of the confidence interval then we will accept the null hypothesis.
Answer: To answer of this question is it depends. It depends on the problem statement we are looking into.
For example:
The confusion matrix with regards to disease vs treatment is fatal in case of false negative (when patient have the disease and the model predicted that patient dont have the disease) then in that case patient wont get the treatment and might loose his/her life.
Similarly in criminal is guilty or innocent case false positive is is much more worse (when the person is inncent and the model predicts person is guilty) as we will end up punishing an innocent.
Answer: Chi-Squared generally deals with categorical data rather than only numerical data.
Chi Sqauared finds the differences or it compares two or more groups with a value, or to compare two or more groups.
Answer: ANOVA stands for Analysis of Variance. It is an extenstion of T-Test.
In T-Test we test if there is any difference in mean and it can only test of two groups at a time, so if there are more than 2 groups instead of performing T-Test multiple times we go for ANOVA testing.
ANOVA testing looks for two different types of variations:
null hypothesis: There is no difference in means alternate hypothesis: Atleast or mean differs from the other means There are two type of ANOVA:
One way ANOVA: When we want to test two groups and see if thee is any difference.
Two way ANOVA: When we test twice for the same group.
Answer: We use either of the test depending on:
Sample size:
When sample size is large or greater than 30 we use Z-test else T-test
Population variance:
When population variance is known, we use Z-test else T-test
Distribution:
If normally distributed we perform Z-test else T-test
Answer: When we try to form a conclusion about the population by conducting the experiments on sample taken from the population.
Answer: Having denominator as n-1 corrects the biasness in the estimation of the population variance.
So, for example:
Answer: When the data is not normally distributed and we have tail type elongated line on the right side, that is called right skewness.
For example:
Answer:
FAQ
What is ap value interview question?
What is p-value in data science interview?
What is hypothesis testing interview?
What is central limit theorem interview?
