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4 Excel Pivot tables (Workshop)This PowerPoint workshop is an introduction to Excel 2010, PivotTables and Excel functions. This resource has been contributed to the statstutor Community Project by Peter Samuels, Birmingham City University and reviewed by Ellen Marshall, University of Sheffield. It includes a data file for use in the workshop.
6 Probability (Workshop SOURCE)This PowerPoint workshop provides a presentation on basic probability theory. This resource has been contributed to the statstutor Community Project by Peter Samuels, Birmingham City University under a Creative Commons licence CC-BY-SA and reviewed by Ellen Marshall, University of Sheffield. The zip file contains the source file and the associated statstutor metadata spreadsheet.
6 Probability (Workshop)This PowerPoint workshop provides a presentation on basic probability theory. This resource has been contributed to the statstutor Community Project by Peter Samuels, Birmingham City University and reviewed by Ellen Marshall, University of Sheffield.
A Guide to SPSSA Guide to SPSS for Information Science with tutorials funded by the Subject Centre for Information and Computer Sciences (Higher Education Academy) made available to statstutor by Prof Anne Morris, Loughborough University. This Guide is freely available for use (with acknowledgement) in non-commercial UK
organisations.
Bar or Line chart of means in SPSS (with optional error bars)How to use SPSS to create a bar or line chart of means, including how to add error bars and confidence intervals. This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Ellen Marshall, University of Sheffield. It was developed with sigma resource development funding.
Box and Whisker Plots (Worksheet)This teach yourself worksheet will show you how to produce box and whisker plots by hand. Box Plots are summary plots based on the median and interquartile range.
Business Statistics 1 - Numbas5 questions. 1. Choosing whether given random variables are qualitative or quantitative. 2. Deciding whether or not three sampling methods are simple random sampling, stratified sampling, systematic or judgemental sampling. Also whether or not the method of selection is random, quasi-random or non-random.3. Given a table of the number of days in which sales were between £x thousands and £(x+1) thousands find the relative percentage frequencies of these volume of sales.4. Given random set of data (between 13 and 23 numbers all less than 100), find their stem-and-leaf plot. 5. Given sample data find mean, standard deviation, median, interquartile range. Numbas resources have been made available under a Creative Commons licence by the School of Mathematics & Statistics at Newcastle University.
Business Statistics 1 - Numbas5 questions. Qualitative, quantitative random variables, types of sampling, frequencies, stem and leaf plot, descriptive statistics. Numbas resources have been made available under a Creative Commons licence by Bill Foster and Christain Perfect, School of Mathematics & Statistics at Newcastle University.
Business Statistics 2 - Numbas5 questions. 1. Counting number of occurences of an event in a sample space with given size and finding the probability of the event. 2. Finding probabilities from a survey given a table of data.
3. Example showing how to calculate the probability of A or B using the law p(A or B)=p(A)+p(B)-p(A and B). Also converting percentages to probabilities. 4. Choose whether given three given pairs of events are independent or not. 5. Given data on probabilities of three levels of success of three options and projections of the profits that the options will accrue depending on the level of success, find the expected monetary value (EMV) for each option and choose the one with the greatest EMV.
Numbas resources have been made available under a Creative Commons licence by the School of Mathematics & Statistics at Newcastle University.
Business Statistics 3 - Numbas. 1. Given descriptions of 3 random variables, decide whether or not each is from a Poisson or Binomial distribution. 2. Application of the Poisson distribution given expected number of events per interval. Finding probabilities using the Poisson distribution. 3. Application of the binomial distribution given probabilities of success of an event. Finding probabilities using the binomial distribution. 4. Given a random normal variable X as N(m, var) find P(X > a),a > m; P(X < b), b < m. 5. Given uniform distribution X, calculating the expectation and variance. Also finding P(X=a) for a given value a.6. Question on the exponential distribution involving a time intervals and arrivals application, finding expectation and variance. Also finding the probability that a time interval between arrivals is less than a given period. All parameters and times randomised. Numbas resources have been made available under a Creative Commons licence by the School of Mathematics & Statistics at Newcastle University.
Calculating the Mean, Median and Mode (Worksheet)This teach yourself worksheet explains how to calculate the mean, median and mode, which are the most commonly used measures of central tendancy or average for a data set.
Calculating the POPULATION Variance and Standard Deviation (Workseet)This teach yourself worksheet explains how to calculate the POPULATION variance and standard deviation. Note: this worksheet uses a divisor of "n" which assumes you have data on every member of the population. If you only have a sample then use the divisor "n-1" instead.
Case Study Using Analysis of VarianceIn this case study video, Analysis of Variance (ANOVA) is used to assess whether average student rent difffers by type of accommodation.
The video was scripted by John Marriott (Royal Statistical Society Centre for Statistical Education) and presented by Dr Alun Owen (Loughborough University) and Steve Joiner and Nick Blenkin (both Coventry University).
There is also an accompanying video resource listed with this case study which looks at the Problem Solving Approach (PSA) that should be used to handle this type of problem.
Chi-Squared tests of Association Using SPSS (Worksheet)This yourself worksheet provides an introduction to undertaking chi-sqaured tests of associaton for a two-way contingency table using SPSS. Note that the SPSS data set colours.sav referred to in the worksheet is also available here.
Chi-Squared tests of Association Using SPSS (Worksheet) Data Set colours.savThis is a zip file containing the SPSS data set called colours.sav for use with Chi-Squared tests of Association Using SPSS (Worksheet). Note: please save this file to your PC before extracting its contents.
Cluster Analysis (Worksheet)Cluster Analysis is a multivariate technique aimed at determining groups of similar objects. This teach yourself worksheet gives a very brief introduction to Cluster Analysis and how to perform this using SPSS. This includes some useful references at the end.
Clustered bar or line chart of means in SPSS (with optional error bars)How to use SPSS to create a clustered bar or line chart of means, including how to add error bars and confidence intervals. This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Ellen Marshall, University of Sheffield. It was developed with sigma resource development funding.
Community Project downloadsA zip file containing instructions, blank Word and LaTeX templates, metadata templates and graphics needed if you wish to contribute resources to the statstutor Community Project
Compute a total score in SPSSThe video explains How to compute a new variable which is the sum of 2 or more variables combined. This sum is called a total score. This resource is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Vikki O'Neill, Queen's University Belfast.
Compute Pearson's r correlation using SPSSHow to use SPSS to compute Pearson's r correlation coefficient and corresponding p-value. This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Cheryl Voake-Jones, University of Bath. It was developed with sigma resource development funding.
Compute Spearman's rho correlation using SPSSHow to use SPSS to compute Spearman's rho correlation coefficient and corresponding p-value. This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Cheryl Voake-Jones, University of Bath. It was developed with sigma resource development funding.
Compute z-scores for variables in SPSSHow to use SPSS to compute z-scores for a variable. Choose one of two available methods. This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Tim Sparks, Coventry University. It was developed with sigma resource development funding.
Confidence Intervals and Error Bars in SPSSA short video tutorial to demonstrate how to calculate confidence intervals and error bars using SPSS. This resource has been made available under a Creative Commons licence by Kristian Evans, Swansea University.
Correlation and Scatterplots (Worksheet)This teach yourself worksheet explains how to obtain interpet scatterplots and the Pearson and Kendall's Tau correlation coefficients.
Correlation Using SPSS (Worksheet)Using an example on calcium intake, this teach yourself worksheet focuses on the use of SPSS to obatin and interpret correlation coefficients. This also includes a number of exercises for you to try. Note that the SPSS data sets referred to in the worksheet are also available here.
Crosstab tables in SPSSHow to create a crosstab table in SPSS with 2 or more variables. This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Tim Sparks, Coventry University. It was developed with sigma resource development funding.
