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  • February 6, 2019Helpful tips

    How do you calculate response rate in research?

    How do you calculate response rate in research? In survey research, the response rate is the number of people who answered the survey divided by…

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  • February 6, 2019Contributing

    What are the assumptions of conjoint analysis?

    What are the assumptions of conjoint analysis? Just about all real-world applications of choice-based conjoint analysis start from four basic assumptions: Products and services can…

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  • February 6, 2019Popular

    What are the assumptions of one way ANOVA?

    What are the assumptions of one way ANOVA? 3. Independence – The observations in each group are independent of each other and the observations within…

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  • February 6, 2019Blog

    What is variable and random variable?

    What is variable and random variable? A random variable is a variable whose value is unknown or a function that assigns values to each of…

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  • February 6, 2019Contributing

    How are confidence levels and confidence intervals related?

    How are confidence levels and confidence intervals related? When you put the confidence level and the confidence interval together, you can say that you are…

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  • February 6, 2019Guidelines

    Why is graph theory needed?

    Why is graph theory needed? Graph Theory is ultimately the study of relationships. Given a set of nodes & connections, which can abstract anything from…

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  • February 6, 2019Guidelines

    Why are CNNS so successful in computer vision applications?

    Why are CNNS so successful in computer vision applications? CNN performs incredibly when it comes to analyzing a single image, but it lacks one essential…

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  • February 6, 2019Contributing

    How do you classify the text?

    How do you classify the text? Text classification also known as text tagging or text categorization is the process of categorizing text into organized groups.…

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  • February 6, 2019Contributing

    What is adjusted mutual information score?

    What is adjusted mutual information score? Adjusted Mutual Information (AMI) is an adjustment of the Mutual Information (MI) score to account for chance. It accounts…

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  • February 6, 2019Helpful tips

    Why is non-stationary important?

    Why is non-stationary important? Without reiterating too much, it suffices to say that: Stationarity means that the statistical properties of a time series (or rather…

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