STAT211 Lecture Notes - Lecture 1: Descriptive Statistics, Scale-Invariant Feature Transform, Statistical Inference
Document Summary
Data analytics the statistical analysis of large amount of data in order to sift out the key information needed for corporate planning. Data in statistics is used to answer questions such as: through careful planning and data collection, the data is summarized and illustrated with plots and. Is there still a sex effect in salaries? numerical summaries: we attempt to generalize the results from the dataset to answer the question. Descriptive statistics plots and numerical summaries are used to describe a data set: effective visual summary of the data, two methods, numerical. Pie charts, histogram, bar graph, etc: results from these statistics can not be extended further than the dataset. Strong evidence that the observed difference is real: confidence intervals and hypothesis tests are techniques used to address these points of interest. In statistics, it is difficult to determine anything with certainty: probability plays an important role.
