## Free Statistics Case Study Samples and Examples List - StudentShare

Jun 12, · Case studies are a type of qualitative research. This method does not involve statistical hypothesis testing. The method has been criticized as being unreliable, too general, and open to bias. To avoid some of these problems, studies should be carefully planned and implemented. This unit covers sampling and survey methods, observational studies, and basic experiment design. Learn for free about math, art, computer programming, economics, physics, chemistry, biology, medicine, finance, history, and more. Types of statistical studies (Opens a modal) Worked example identifying experiment (Opens a modal) Worked. Distributed Statistical Computing for Big Data (graduate level) Tools for Data Science ( spring) Bayesian Data Analysis (graduate level) Statistical Computing (undergraduate level) Statistical Case Studies (graduate level).

## Study design | Statistics and probability | Math | Khan Academy

These case studies illustrate the application of statistical tools to real-world problems. Each case provides background information, a task, data, complete JMP illustrations, a summary of insights and implications, and exercises.

Use the By Course and By Analysis Type tabs below to see lists of cases, **statistical case studies**, and use the Download tab to download sets of cases with datasets or download all cases. Interested in contributing? If you'd like to share a case study that is useful in teaching statistical concepts, please contact usor consider posting your materials on the JMP User Community.

Using descriptive statistics and graphical displays, explore claim payment amounts for medical malpractice lawsuits and identify factors that appear to influence the amount of the payment. Histogram, *statistical case studies*, summary statistics, **statistical case studies** chart and frequency distributions, Pareto Plot, pie chart, and box plots.

Compare the baggage complaints for three airlines: American Eagle, Hawaiian, and United. Using descriptive statistics and time series plots, explore differences between the airlines, **statistical case studies**, whether complaints are getting better or worse over time, and if there are other factors, such as destinations, seasonal *statistical case studies* or the volume of travelers that might affect baggage performance.

Explore the effectiveness of different sampling plans in detecting changes in the occurrence of manufacturing defects. Use survey results from a summer movie series to answer questions regarding customer satisfaction, demographic profiles of patrons, and the use of media outlets in advertising. Bar charts and frequency distributions, addressing data quality issues, mosaic plots and contingency tables cross-tabulationsand chi-squared tests.

Histograms, summary statistics, confidence interval for the mean, and One Sample t-Test for a difference. Determine what effect a reengineering effort had on the incidence of behaviorial problems and turnover at a treatment facility for teenagers. Determine whether a software development project prioritization system was effective in speeding the time to completion for high priority jobs. Summary statistics, time series plots, simple linear regression, predicted values and prediction intervals.

Time series plots, simple linear regression, **statistical case studies**, creating lagged variables, predicted values and prediction intervals. Assess the effectiveness of a cost leadership strategy in increasing market share, and assess the potential **statistical case studies** additional gains in market share under the current strategy.

Simple linear regression, spline fitting, transformations, predicted values and prediction intervals, *statistical case studies*. Determine whether wind speed and barometric pressure are related to phone call performance percentage of dropped or failed calls. Histograms, summary statistics, simple linear regression, multiple regression, scatterplots, and three-dimensional scatterplot. After determining which factors relate to the selling prices of homes located in and around a ski resort, develop a model to predict housing prices.

Scatterplot matrix, pairwise and partial correlations, **statistical case studies**, multiple regression, VIFs, stepwise regression, model diagnostics.

Determine whether certain conditions make it more likely that a customer order will be won or lost. Bar charts and frequency distributions, mosaic plots, contingency tables cross tabschi-squared tests, logistic regression, predicted values and confusion matrix. Using outcomes for 10, flips of a coin, use descriptive statistics, confidence intervals and hypothesis tests to determine whether the coin is fair.

Bar charts, confidence intervals for proportions, hypothesis testing for proportions, Likelihood Ratio, simulating random data, scatterplot, fitting a regression line. Key ideas: Practical importance and statistical significance, observational studies, relative risk, scope of inference.

Mosaic plots, contingency tables, Pearson and likelihood ratio tests, Fisher's exact test, *statistical case studies*, two-sample proportions test, one- and two-sided tests, confidence interval for the difference, relative risk.

Key ideas: Relative risk, observational study, cohort study, randomized experiments. Bar charts, two-sample proportions test, relative risk, two-sided Pearson and likelihood ratio tests, Fisher's exact test, and *statistical case studies* Gamma measure of association. Use the results of a retrospective study to determine if there is a positive association between smoking and lung cancer, and to through mathematical manipulations estimate the risk of lung cancer for smokers relative to non-smokers.

Mosaic plots, two-by-two contingency tables, odds ratios and confidence intervals for odds ratios, hypothesis tests for proportions likelihood ratio, Pearson's, Fisher's Exact, two sample tests for proportions. Key ideas: Genetic linkage, independence, laws of probability. Bar charts, frequency distributions, goodness-of-fit tests, mosaic plot, hypothesis tests for proportions. Using data from a survey of students, estimate the average number of siblings for the general population.

Key ideas: Logarithmic transformation, inverse transformation, mean versus median, power, robustness of t procedures, sampling distribution. Histograms, normal quantile plots, log transformations, confidence intervals, inverse transformation. Histograms, normal quantile plots, log transformations, inverse transformation, paired t-test, Wilcoxon Signed Rank test. Determine whether subliminal messages were effective in increasing math test scores, and if so, by how much. Histograms, summary statistics, box plots, t-Test and pooled t-Test, normal quantile plot, *statistical case studies*, Wilcoxon Rank Sums test, Cohen's d, **statistical case studies**.

Determine if a backgammon program is about the **statistical case studies** in and as it was inor if there appear to have been upgrades at some point.

Also, determine whether a professor is demonstrably superior in play to the program. Use data from the World Factbook to **statistical case studies** if different geographic regions differ in overall wealth.

Determine if a power law model fits the data provided. Histogram and summary statistics, fitting a regression line, log transformations, residual plots, interpreting reqression output and parameter estimates, inverse transformations. A bank wants to understand how customer banking habits contribute to revenues and profitability. We want to **statistical case studies** a model that allows the bank to predict profitability for a given customer. The resulting model will be used to forecast bank *statistical case studies* and guide the bank in future marketing campaigns.

The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15,during her maiden voyage, the Titanic sank after colliding with an iceberg, killing out of passengers and crew.

We use this rich and storied example to explore some questions of interest about survival rates for the Titanic. For example, were there some key characteristics of the survivors? Were some passenger groups more likely to survive than others? Can we accurately predict survival? Classification trees, validation, confusion matrix, misclassification, leaf report, ROC curves, lift curves.

A bank would like to understand the demographics and other characteristics associated with whether a customer accepts a credit card offer. We want to *statistical case studies* a model that will provide insight into why some bank customers accept credit card offers. Because the response is categorical either Yes or No and we have a large number of potential predictor variables, we use the Partition platform to build a classification tree for Offer Accepted.

Neural networks, activation functions, model validation, confusion matrix, lift, *statistical case studies*, prediction profiler, variable importance. Customer retention is a challenge in the ultracompetitive mobile phone industry. A mobile phone company is studying factors related to customer churn, a term used for customers who have moved to another service provider.

The company would like to build a model to predict which customers are most likely to move their service to a competitor. This knowledge *statistical case studies* be used to identify customers for targeted interventions, with the ultimate goal of reducing churn.

Model validation, stepwise regression, regression trees, neural networks, validation statistics and model comparison. The objective of this study is to develop a model to predict the median value *statistical case studies* homes in the Boston area.

Our goal is to use the available data build a model that makes accurate predictions about home values in the Boston area. To ensure that the model predicts well for data not used to build the model, we use model validation, **statistical case studies**.

We will build different models **statistical case studies.** Exploratory data analysis using linked graphs, data filtering, Distribution, Tabulate, Graph Builder and recursive partitioning. **Statistical case studies** process capability and characterizing the behavior of a process over time with Control Chart Builder. Confirmatory data analysis with multiple regression and the prediction profiler. The scenario relates to the handling of customer queries via an IT call center. The call center performance is well below best in class.

Identify potential process changes to allow the call center to achieve best in class performance. A regional endocrinology specialty office is experiencing a decrease in the number of patients seen on a weekly basis. Among the clinic staff, there is some concern that this decrease in volume is due to patient dissatisfaction. A team is assembled from among the staff members to investigate potential causes of decreased patient volume.

You are the internal consultant, brought in to assist the team with the analysis. Bring practical statistical problem solving to your course These case *statistical case studies* illustrate the application of statistical tools to real-world problems. Academic Home. The cases and data sets can be individually downloaded using the links provided. To download the sets of cases, use the links below: The business statistics case studies and data The statistics and biostatistics case studies and data The analytics case studies and data.

Business Statistics Case Studies. Medical Malpractice. Descriptive Statistics, Graphics, and Exploratory Data Analysis Using descriptive **statistical case studies** and graphical displays, explore claim payment amounts for medical malpractice lawsuits and identify factors that appear to influence the amount of the payment.

Download the case study PDF Download the data set. Baggage Complaints. Defect Sampling. Sampling Distributions and Sampling Error Explore the effectiveness of different sampling plans in detecting changes in the occurrence of manufacturing defects. Film on the Rocks. Bar Charts, Cross-Tabulations and Mosaic Plots Use survey results from a summer movie series to answer questions regarding customer satisfaction, demographic profiles of patrons, and the use of media outlets in advertising.

Price Quotes. Confidence Intervals and t-Tests for Paired Samples Determine whether pricing experts are providing different price quotes to customers. Treatment Facility.

Two Sample Means and Time Series Determine what effect a reengineering effort had on the incidence of behaviorial problems and turnover at a treatment facility for teenagers. Priority Assessment.

ANOVA and Exploratory Data Analysis Determine whether a software development project prioritization system was effective in speeding the time to completion for high priority jobs.

Simple Linear Regression and Time Series Predict year-end contributions in an employee fund-raising drive, *statistical case studies*.

### Business Statistics | Student/Case studies

This unit covers sampling and survey methods, observational studies, and basic experiment design. Learn for free about math, art, computer programming, economics, physics, chemistry, biology, medicine, finance, history, and more. Types of statistical studies (Opens a modal) Worked example identifying experiment (Opens a modal) Worked. JMP ® Case Study Library. Bring practical statistical problem solving to your course. These case studies illustrate the application of statistical tools to real-world problems. Each case provides background information, a task, data, complete JMP illustrations, a summary . Interactive Course Case Studies in Statistical Thinking. Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.