What can you conclude?
You are testing two new weight-gain formulas for puppies. The test gives the results:
Control group: 1% weight gain
Formula A. 3% weight gain
Formula B. 4% weight gain
A one-way ANOVA returns a p-value = 0.027
What can you conclude?
In which phase of the data analytics lifecycle do Data Scientists spend the most time in a project?
In which phase of the data analytics lifecycle do Data Scientists spend the most time in a project?
What is one modeling or descriptive statistical function in MADlib that is typically not provided in a standar
What is one modeling or descriptive statistical function in MADlib that is typically not provided in a standard relational database?
Which word or phrase completes the statement? A spreadsheet is to a data island as a centralized database for
Which word or phrase completes the statement? A spreadsheet is to a data island as a centralized database for reporting is to a ________?
How are the autocorrelation functions used?
You are analyzing a time series and want to determine its stationarity. You also want to determine the order of autoregressive models.
How are the autocorrelation functions used?
If your intention is to show trends over time, which chart type is the most appropriate way to depict the data
If your intention is to show trends over time, which chart type is the most appropriate way to depict the data?
What is your evaluation of this model?
You have fit a decision tree classifier using 12 input variables. The resulting tree used 7 of the 12 variables, and is 5 levels deep. Some of the nodes contain only 3 data points. The AUC of the model is 0.85. What is your evaluation of this model?
What is an example of a null hypothesis?
What is an example of a null hypothesis?
Before you build an ARMA model, how can you tell if your time series is weakly stationary?
Before you build an ARMA model, how can you tell if your time series is weakly stationary?
When would you prefer a Naive Bayes model to a logistic regression model for classification?
When would you prefer a Naive Bayes model to a logistic regression model for classification?