Our descriptive data collection points include attendance, class performance, and grades. The grade point average (GPA) usually averages all these data points to better understand a student's overall academic performance. Descriptive statistics help summarize data meaningfully, allowing us to find ...
By videotaping students' statistical conversations and viewing them on DVDs, time after time, I was able to analyze students' reasoning at more depth and observe more closely what students understand and do not understand. Two statistics instructors and eight pairs of community college students were...
My college statistics class was enough to show how easily they are manipulated. Close reading and deconstruction are also techniques that are used in shaping public opinion and selling product. Good to understand. PS - A good value system is indispensable in combating the BS. That way you will...
You will learn how to: Configure and run the Data Profiling task in an Integration Services package. Run the stand-alone Data Profile Viewer to view the output of the task. And, understand and analyze the output of the task that you see in the Data Profile Viewer. ...
Once you understand the concepts behind these examples, however, you should be able to extend your knowledge to the construction and interpretation of other methods of displaying data (such as, for instance, a pie chart). Practice Problem: Create a histogram for the following data set: {0.01,...
Relatively easy to understand. Treats all deviations from the mean as the same regardless of their direction. Versatile measure that can be used in a variety of settings. Disadvantages: Not as interpretable as the standard deviation. Measured in squared units, which can make it difficult to compa...
“We understand people’s plight. We understand there are many different paths people can take to get into the field.” When vetting candidates, Ashok Srivastava, senior vice president and chief data officer at Intuit, says he prioritizes technical know-how over a particular type of education....
It’s important to understand the behavior of the Python statistics routines when they come across a not-a-number value (nan). In data science, missing values are common, and you’ll often replace them with nan.Note: How do you get a nan value?
Related How to Validate a Research Instrument Whether you are taking a statistics class or some advanced math subjects, at some point throughout school you will likely need to understand the difference between validity and reliability. While these concepts are closely related, they are not the sa...
It's important for investors to understand the concept of negative correlation since balanced portfolios often include assets that have this relationship with one another. That way, should one part drop in value, others might not. Negative correlation is also called inverse correlation, which is a...