what are the types of statistical tools?
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['Analysis of variance (ANOVA)', 'Chi-squared test.', 'Correlation.', 'Factor analysis.', 'Mann–Whitney U.', 'Mean square weighted deviation (MSWD)', 'Pearson product-moment correlation coefficient.', 'Regression analysis.']
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Data Analysis Tools, Charts, and Diagrams Use the following tools to collect or analyze data: Box and whisker plot: A tool used to display and analyze multiple sets of variation data on a single graph. ... Survey: Data collected from targeted groups of people about their opinions, behavior or knowledge.
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['Knime. Knime is an open-source machine learning tool that is based on GUI. ... ', 'Accord.net. ... ', 'Scikit-Learn. ... ', 'TensorFlow. ... ', 'Weka. ... ', 'Pytorch. ... ', 'RapidMiner. ... ', 'Google Cloud AutoML.']
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['Descriptive Analysis.', 'Diagnostic Analysis.', 'Predictive Analysis.', 'Prescriptive Analysis.']
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['Line Graphs.', 'Bar Graphs.', 'Histograms.', 'Line Plots.', 'Frequency Table.', 'Circle Graph, etc.']
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Quantitative Data Analysis Methods After these steps, the data is ready for analysis. The two most commonly used quantitative data analysis methods are descriptive statistics and inferential statistics.
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They can be used to help solve many different types of problems, not just quality problems. The seven tools are: cause and effect diagrams, check sheets, control charts, histograms, Pareto charts, scatter plots, and data stratification.
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['Comparison of Top Data Analytics Tools.', '#1) Microsoft BI.', '#2) HubSpot.', '#3) Tableau Public.', '#4) RapidMiner.', '#5) KNIME.', '#6) Orange.', '#7) OpenRefine.']
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['Flow Chart.', 'Histogram.', 'Cause-and-Effect Diagram.', 'Check Sheet.', 'Scatter Diagram.', 'Control Charts.', 'Pareto Charts.']
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['Scatter plot. Scatter plots present data on the x- and y-axes and are used to investigate an association between two variables. ... ', 'Bar graph and histogram. ... ', 'Pie chart. ... ', 'Box and whisker chart. ... ', 'Three-dimensional effects. ... ', 'Drawing a graph: example.']
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Well, deploying any SQS tool can be considered an example of Statistical Quality Control. Common SQC tools are : Histogram,run chart, control chart, Analysis of variance, design of experiments, correlation /regression analysis,sampling plans etc.
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Standard analysis tools of inferential statistics The most common methodologies in inferential statistics are hypothesis tests, confidence intervals, and regression analysis. Interestingly, these inferential methods can produce similar summary values as descriptive statistics, such as the mean and standard deviation.
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['Experiments.', 'Controlled observations.', 'Surveys: paper, kiosk, mobile, questionnaires.', 'Longitudinal studies.', 'Polls.', 'Telephone interviews.', 'Face-to-face interviews.']
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['Parameterized reports.', 'Linked reports.', 'Snapshot reports.', 'Cached reports.', 'Ad hoc reports.', 'Clickthrough reports.', 'Drilldown reports.', 'Drillthrough reports.']
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['Spreadsheets. Spreadsheets are hands-down the best-known data tool. ... ', 'SQL. ... ', 'Statistical Software. ... ', 'Visualization and Dashboarding. ... ', 'Analytics Tools. ... ', 'Business Intelligence.']
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['Cause-and-effect diagram (also called Ishikawa diagram or fishbone diagram)', 'Check sheet.', 'Control chart.', 'Histogram.', 'Pareto chart.', 'Scatter diagram.', 'Stratification.']
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['State the null and alternative hypotheses.', 'Specify α and the sample size.', 'Select an appropriate statistical test.', 'Collect data (note that the previous steps should be done prior to collecting data)', 'Compute the test statistic based on the sample data.']