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Introduction to Statistics

Minitab 18 Overview

David Ash­er gives an overview into Minitab 18’s capabilities.

Course Videos

1

Introduction to Statistics

3:30

 2

Data Types

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Course Resources

Quiz

  • Answers

  • Introduction to Six Sigma

    • 4 Videos
    • 17m
    Six Sig­ma is a data-dri­ven approach to improv­ing qual­i­ty and effi­cien­cy in busi­ness process­es. Six Sig­ma aims for near-per­fect per­for­mance, tar­get­ing a goal of no more than 3.4 defects per mil­lion oppor­tu­ni­ties. The method­ol­o­gy employs the frame­work of DMA­IC (Define, Mea­sure, Ana­lyze, Improve, Con­trol) for deliv­er­ing improve­ment projects. Six Sig­ma prac­ti­tion­ers use sta­tis­ti­cal tools to iden­ti­fy root caus­es of defects and inef­fi­cien­cies, enabling pre­cise solu­tions that improve out­comes, increase cus­tomer sat­is­fac­tion, and con­tribute sig­nif­i­cant­ly to orga­ni­za­tion­al cost reduc­tion and profitability.

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  • Project Selection

    • 8 Videos
    • 37m
    One of the main respon­si­bil­i­ties of Six Sig­ma prac­ti­tion­ers is to deliv­er impact­ful projects for their orga­ni­za­tions. This requires the skill to select the right top­ic, plan the project, and lead the team. This all begins with Project Selec­tion, a set of struc­tured activ­i­ties to iden­ti­fy the busi­ness need, con­sid­er cus­tomer input, clear­ly define the prob­lem, set objec­tives, iden­ti­fy met­rics, cal­cu­late sav­ings, and more. Learn how to com­bine these ele­ments into a Project Charter.

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  • Process Mapping & Selected Tools

    • 7 Videos
    • 38m
    The abil­i­ty to under­stand how mate­r­i­al and process­es flow, while also iden­ti­fy­ing the ​“inputs” or ​“Xs” to a process, is at the heart of the DMA­IC method­ol­o­gy. So, in this sec­tion we’ll learn about dif­fer­ent types of process maps while also learn­ing how to take the infor­ma­tion learned from process map­ping into addi­tion­al tools like the C&E Matrix and FMEA in order to nar­row the lists of inputs down to the ​“crit­i­cal few.” To be sure, many prob­lems can be solved dur­ing this phase of a project, so it’s real­ly time to dig in!

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  • Introduction to Statistics

    • 2 Videos
    • 6m
    Sta­tis­tics is the sci­ence of col­lect­ing, ana­lyz­ing, pre­sent­ing, and inter­pret­ing data. Sta­tis­tics pro­vides meth­ods for design­ing exper­i­ments, tech­niques for ana­lyz­ing data, and mak­ing informed deci­sions. Learn the dif­fer­ences between descrip­tive and infer­en­tial sta­tis­tics, and how to use each. This dis­ci­pline is essen­tial for enabling pro­fes­sion­als and researchers to eval­u­ate trends, test the­o­ries, and dri­ve improve­ment and inno­va­tion in any industry.

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  • Descriptive Statistics

    • 1 Videos
    • 6m
    Accu­rate­ly inter­pret­ing data col­lect­ed dur­ing test­ing phas­es is cru­cial for enhanc­ing process­es and work­flows. Descrip­tive sta­tis­tics are sum­ma­ry mea­sures that describe, show, or sum­ma­rize the char­ac­ter­is­tics of data in a mean­ing­ful way. Ensur­ing that all team mem­bers are pro­fi­cient in descrip­tive sta­tis­tics and their prop­er appli­ca­tion, we can make informed deci­sions that dri­ve per­for­mance improvements. 

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  • Graphs & Charts

    • 1 Videos
    • 8m
    When it comes to see­ing how process­es change over time, the abil­i­ty to graph and make charts of data can be invalu­able, espe­cial­ly for con­tin­u­ous improve­ment prac­ti­tion­ers. Graphs and charts can even help empha­size dif­fer­ent attrib­ut­es of the same data. But how do we know if we’re using the best visu­als for our par­tic­u­lar data set? This course will help with that decision.

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  • Inferential Statistics

    • 15 Videos
    • 1h 32m
    Hav­ing a sol­id under­stand­ing of the sci­en­tif­ic method and how to study a small sam­ple of data in order to make deci­sions about an entire pop­u­la­tion is what can sep­a­rate excel­lent Con­tin­u­ous Improve­ment Prac­ti­tion­ers from aver­age ones. The infer­en­tial sta­tis­tics course dives into the cen­tral lim­it the­o­rem, z‑scores, graph­i­cal analy­sis, nor­mal­i­ty, and how to con­duct var­i­ous sta­tis­ti­cal hypoth­e­sis tests.

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  • Statistical Process Control

    • 2 Courses
    • 28 Videos
    Sta­tis­ti­cal Process Con­trol, or SPC, is a method to mon­i­tor, con­trol, and enhance process­es. SPC enables us to build con­sis­tent, pre­dictable process­es by study­ing data over time and min­i­miz­ing vari­a­tion. Learn the five steps of Sta­tis­ti­cal Process Con­trol, how to cre­ate a sam­pling plan, set sub­group sizes and sam­ple sizes, the dif­fer­ence between attribute and vari­able data, how to select and cre­ate the appro­pri­ate type of Con­trol Chart for each sit­u­a­tion, and more.

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  • Process Capability

    • 6 Videos
    • 28m
    The sta­tis­ti­cal tech­nique of Process Capa­bil­i­ty Analy­sis allows us to eval­u­ate the abil­i­ty of a process to con­sis­tent­ly meet cus­tomer spec­i­fi­ca­tions or tol­er­ances. It does this by com­par­ing the spread and cen­ter­ing of the process dis­tri­b­u­tion to the spec­i­fied lim­its. Learn the ele­ments and steps of Process Capa­bil­i­ty Analy­sis and its impor­tance for con­tin­u­ous improve­ment and Six Sigma.

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  • ANOVA

    • 9 Videos
    • 48m
    ANO­VA, or Analy­sis of Vari­ance, is a method for com­par­ing the means of three or more sam­ples to deter­mine if at least one of the sam­ple means dif­fers sta­tis­ti­cal­ly from the oth­ers. Learn the key sta­tis­tics con­cepts of main effects, inter­ac­tion, influ­ence, degrees of free­dom, the F- sta­tis­tic, R‑squared, and how to fol­low the step-by-step process for con­duct­ing one-way and two-way ANOVAs.

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