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# Archived Material (Statistics)

 Site: Solent Online Learning Course: Succeed@Solent Book: Archived Material (Statistics) Printed by: Guest user Date: Sunday, 29 November 2020, 1:58 AM

## Introduction

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DRAFT As you enter the world of work, you will find that most jobs use statistics of some kind.

Statistics help us to make decisions, plan ahead, discover trends and make predictions. We can use statistics to deepen our understanding of any chosen topic, but first you need to be comfortable with the terms, formulas and techniques that are needed to use statistics.

To better understand the statistics and probability topics, spend time refreshing your knowledge on key areas such as:

• collection data
• mean, median and mode and range of data
• charts and graphs
• frequency tables
• probability

TO BE COMPLETED

### Statistics Foundations: Part 1

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For an introduction to the foundations of statistics, look at this video by Lynda.com. Professor Eddie Davila covers the basics of statistics including:

• Why statistics matter
• Evaluating your data sets
• Finding means, medians, and modes
• Calculating standard deviation
• Measuring distribution and relative position
• Understanding probability and multiple-event probability
• Describing permutations: the order of things
• Calculating discrete and continuous probability distributions

### Statistics Foundations: Part 2

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As a follow on to Statistics Foundations: Part 1, Professor Eddie Davila reviews introductory concepts such as data and probability. If you are looking to work in data science, business, and business analyticsâ€”or just need a deeper understanding of how statistics work in the real world- this video is for you.

Topics include:

• Data and distributions
• Sample size considerations
• Random sampling
• Confidence intervals
• Hypothesis testing

### Statistics with Excel: Part 1

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If you need help with understanding statistics with Excel, then this video is for you.

Joseph Schmuller explains the fundamental concepts of descriptive and inferential statistics and shows you how to apply them using Microsoft Excel.

Topics include:

• Understanding data types and variables
• Calculating probability
• Understanding mean, median, and mode
• Calculating variability
• Organising and graphing distributions
• Sampling distributions
• Making estimations
• Testing hypothesis: mean testing, z- and t-testing, and more
• Analysing variance
• Performing repeated measure testing
• Understanding correlation and regression

Excel Statistics Essential Training: 1

### Statistics with Excel: Part 2

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This video shows you how to use statistical concepts and tools to perform analysis in Microsoft Excel.

It would be useful to look at Statistics with Excel: Part 1 first if you are unsure of the basics. By watching both videos, you should have the necessary knowledge to perform basic analysis in workplace situations.

Topics include:

• Using Excel's statistical functions and 3D charts
• Visualising sampling distributions
• Performing comparisions with ANOVA
• Performing two-way analysis with ANOVA
• Analysing linear regression
• Performing multiple regression and non-linear regression analysis
• Forecasting
• Making advanced correlations
• Testing variable frequencies
• Running simulations

## Introduction to SPSS

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BLURB

## SPSS Statistics Essential Training

This content has been archived! For the latest version please visit: learn.solent.ac.uk/succeed

If you want to make the most of the data you have collected for your academic assignments, then this video is for you! The skills covered in the video are ideal for your research projects.

It will help you to:

• build charts, scatterplots, and box plots
• calculate descriptive statistics such as means and standard deviations
• use inferential statistics such as t-tests and chi-squares
• enter and read data
• create new variables and crosstabulations
• model associations with correlations, contingency tables, and multiple-regression analysis
• format and export presentations to share your data

You can also learn how to extend the power of SPSS with Python and R.

SPSS Statistics Essential Training