Data Analysis Review vs Art of Stat

Prepare to achieve the GRE scores you need to get into your top choice schools. Get ready for the test day with this most comprehensive app on GRE Math : Data Analysis Review. Features include: * HIGHEST QUALITY and QUANTITY Over 270 questions and 27 revision notes in all just for Data Analysis Review. High quality content written by experienced GRE tutors. * MOCK TEST Mixed questions from all topics. * INSTANT FEEDBACK Know instantly if your answer was right or wrong. * REVIEW WITH EXPLANATION Review each question at the end of the test. Know the right answer with detailed explanation for each question. * PROGRESS METER With our unique progress tracking feature including pie charts and bar graphs showing your progress, you know you are ready to take on the real test at the board when your progress meter says 100%. * REVISE BY TOPIC 1. Frequency Distributions Frequency Tables Grouped Data Two Way Tables Box Plots Histograms 2. Graphs & Data Interpretation Bar Graphs Pie Charts Line Graphs Scatter graphs 3. Distributions of data Distributions of Data and Random Variables Normal Distributions 4. Counting Methods Combinations permutations Sets 1 Sets 2 5. Probability Basic Probability Independent Events Advanced Probability 1 Advanced Probability 2 Relative Frequency 6. Statistics Arithmetic Mean Weighted Average Median Mode Range Quartiles and Percentiles Standard Deviation and standardized Data Disclaimer: GRE is a registered trademark of Educational Testing Services(ETS). ETS neither sponsors nor endorses this product or any of its content. * Privacy Policy: http://www.webrichsoftware.com/privacy.html * EULA: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

News: The Explore Data app is now part of the all new Art of Stat app, which contains this and seven other modules. Please consider getting the Art of Stat app for the latest updates and features: https://apps.apple.com/us/app/art-of-stat/id6755374228 ------ The Art of Stat: Explore Data app includes statistical methods for exploring categorical and quantitative data. Obtain summary statistics, contingency tables or correlation coefficients and easily generate bar- and pie charts, histograms, boxplots (including side-by-side boxplots), dotplots or interactive scatterplots that let you color dots by a third variable. Several example datasets are preloaded for you to explore (including instructions on the statistical analysis), but you can also enter your own data or import a CSV file from a cloud account. The following methods are implemented: - Analyzing One Categorical Variable - Comparing Groups on a Categorical Variable - Analyzing the Relationship Between Two Categorical Variables - Analyzing One Quantitative Variable - Comparing Groups on a Quantitative Variable - Analyzing the Relationship Between Two Quantitative Variables (Linear Regression) The app provides: - Frequency tables and bar and pie charts for exploring one categorical variable. - Contingency tables, conditional proportions and side-by-side or stacked bar charts for exploring a categorical variable across several groups or the association between two categorical variables. - Mean, standard deviation and the 5-number summary together with histograms, boxplots and dotplots to explore a quantitative variable. - Side-by-side boxplots, stacked histograms or density plots for comparing a quantitative variable across several groups. - Interactive scatterplots with regression lines to analyze the relationship between two quantitative variables. Correlation statistics and linear regression parameters and predictions. Plots of raw and studentized residuals. The app comes with several example datasets preloaded, which you can directly open in the app to explore the app's various features. You can also type in your own data or upload your own CSV file (which any spreadsheet program can create) and select variables from it. Finally the app includes a basic spreadsheet program called Data Editor to create and edit data. You can also copy & paste data from a spreadsheet app such as Google Sheets, Excel or Apple’s Numbers app. Several sample datasets are provided.