SlideShare a Scribd company logo
Standard Deviation
Conceptual Explanation
Standard Deviation
In this learning module you will learn and
practice three skills:
Standard Deviation
In this learning module you will learn and
practice three skills:
1. Selecting the mean among other statistics.
2. Running the mean in SPSS.
3. Interpreting the mean in SPSS
4. Explaining the mean conceptually
Standard Deviation
• Select – link to flashcards*
• Run in SPSS
– link to instructions (one group or two groups)
• Interpret - link to instructions
• Explain – link to instructions
*don’t use until you have learned how to select the mean, median,
mode, range, standard deviation & interquartile range.

More Related Content

What's hot

Report
ReportReport
Reportbutest
 
Accessing non static members from the main
Accessing non static members from the mainAccessing non static members from the main
Accessing non static members from the mainTutors On Net
 
15 - Panorama Necto 14 formulas, exceptions - visualization & data discovery...
15  - Panorama Necto 14 formulas, exceptions - visualization & data discovery...15  - Panorama Necto 14 formulas, exceptions - visualization & data discovery...
15 - Panorama Necto 14 formulas, exceptions - visualization & data discovery...Panorama Software
 
Activity 43 explaining experiments
Activity 43 explaining experimentsActivity 43 explaining experiments
Activity 43 explaining experimentsshihemy
 
math grade 8Summative ppt
math grade 8Summative pptmath grade 8Summative ppt
math grade 8Summative pptmanny884
 

What's hot (6)

Report
ReportReport
Report
 
Accessing non static members from the main
Accessing non static members from the mainAccessing non static members from the main
Accessing non static members from the main
 
15 - Panorama Necto 14 formulas, exceptions - visualization & data discovery...
15  - Panorama Necto 14 formulas, exceptions - visualization & data discovery...15  - Panorama Necto 14 formulas, exceptions - visualization & data discovery...
15 - Panorama Necto 14 formulas, exceptions - visualization & data discovery...
 
Activity 43 explaining experiments
Activity 43 explaining experimentsActivity 43 explaining experiments
Activity 43 explaining experiments
 
math grade 8Summative ppt
math grade 8Summative pptmath grade 8Summative ppt
math grade 8Summative ppt
 
2.decision making
2.decision making2.decision making
2.decision making
 

More from Ken Plummer

Diff rel gof-fit - jejit - practice (5)
Diff rel gof-fit - jejit - practice (5)Diff rel gof-fit - jejit - practice (5)
Diff rel gof-fit - jejit - practice (5)Ken Plummer
 
Learn About Range - Copyright updated
Learn About Range - Copyright updatedLearn About Range - Copyright updated
Learn About Range - Copyright updatedKen Plummer
 
Inferential vs descriptive tutorial of when to use - Copyright Updated
Inferential vs descriptive tutorial of when to use - Copyright UpdatedInferential vs descriptive tutorial of when to use - Copyright Updated
Inferential vs descriptive tutorial of when to use - Copyright UpdatedKen Plummer
 
Diff rel ind-fit practice - Copyright Updated
Diff rel ind-fit practice - Copyright UpdatedDiff rel ind-fit practice - Copyright Updated
Diff rel ind-fit practice - Copyright UpdatedKen Plummer
 
Normal or skewed distributions (inferential) - Copyright updated
Normal or skewed distributions (inferential) - Copyright updatedNormal or skewed distributions (inferential) - Copyright updated
Normal or skewed distributions (inferential) - Copyright updatedKen Plummer
 
Normal or skewed distributions (descriptive both2) - Copyright updated
Normal or skewed distributions (descriptive both2) - Copyright updatedNormal or skewed distributions (descriptive both2) - Copyright updated
Normal or skewed distributions (descriptive both2) - Copyright updatedKen Plummer
 
Nature of the data practice - Copyright updated
Nature of the data practice - Copyright updatedNature of the data practice - Copyright updated
Nature of the data practice - Copyright updatedKen Plummer
 
Nature of the data (spread) - Copyright updated
Nature of the data (spread) - Copyright updatedNature of the data (spread) - Copyright updated
Nature of the data (spread) - Copyright updatedKen Plummer
 
Mode practice 1 - Copyright updated
Mode practice 1 - Copyright updatedMode practice 1 - Copyright updated
Mode practice 1 - Copyright updatedKen Plummer
 
Nature of the data (descriptive) - Copyright updated
Nature of the data (descriptive) - Copyright updatedNature of the data (descriptive) - Copyright updated
Nature of the data (descriptive) - Copyright updatedKen Plummer
 
Dichotomous or scaled
Dichotomous or scaledDichotomous or scaled
Dichotomous or scaledKen Plummer
 
Skewed less than 30 (ties)
Skewed less than 30 (ties)Skewed less than 30 (ties)
Skewed less than 30 (ties)Ken Plummer
 
Skewed sample size less than 30
Skewed sample size less than 30Skewed sample size less than 30
Skewed sample size less than 30Ken Plummer
 
Ordinal and nominal
Ordinal and nominalOrdinal and nominal
Ordinal and nominalKen Plummer
 
Relationship covariates
Relationship   covariatesRelationship   covariates
Relationship covariatesKen Plummer
 
Relationship nature of data
Relationship nature of dataRelationship nature of data
Relationship nature of dataKen Plummer
 
Number of variables (predictive)
Number of variables (predictive)Number of variables (predictive)
Number of variables (predictive)Ken Plummer
 
Levels of the iv
Levels of the ivLevels of the iv
Levels of the ivKen Plummer
 
Independent variables (2)
Independent variables (2)Independent variables (2)
Independent variables (2)Ken Plummer
 

More from Ken Plummer (20)

Diff rel gof-fit - jejit - practice (5)
Diff rel gof-fit - jejit - practice (5)Diff rel gof-fit - jejit - practice (5)
Diff rel gof-fit - jejit - practice (5)
 
Learn About Range - Copyright updated
Learn About Range - Copyright updatedLearn About Range - Copyright updated
Learn About Range - Copyright updated
 
Inferential vs descriptive tutorial of when to use - Copyright Updated
Inferential vs descriptive tutorial of when to use - Copyright UpdatedInferential vs descriptive tutorial of when to use - Copyright Updated
Inferential vs descriptive tutorial of when to use - Copyright Updated
 
Diff rel ind-fit practice - Copyright Updated
Diff rel ind-fit practice - Copyright UpdatedDiff rel ind-fit practice - Copyright Updated
Diff rel ind-fit practice - Copyright Updated
 
Normal or skewed distributions (inferential) - Copyright updated
Normal or skewed distributions (inferential) - Copyright updatedNormal or skewed distributions (inferential) - Copyright updated
Normal or skewed distributions (inferential) - Copyright updated
 
Normal or skewed distributions (descriptive both2) - Copyright updated
Normal or skewed distributions (descriptive both2) - Copyright updatedNormal or skewed distributions (descriptive both2) - Copyright updated
Normal or skewed distributions (descriptive both2) - Copyright updated
 
Nature of the data practice - Copyright updated
Nature of the data practice - Copyright updatedNature of the data practice - Copyright updated
Nature of the data practice - Copyright updated
 
Nature of the data (spread) - Copyright updated
Nature of the data (spread) - Copyright updatedNature of the data (spread) - Copyright updated
Nature of the data (spread) - Copyright updated
 
Mode practice 1 - Copyright updated
Mode practice 1 - Copyright updatedMode practice 1 - Copyright updated
Mode practice 1 - Copyright updated
 
Nature of the data (descriptive) - Copyright updated
Nature of the data (descriptive) - Copyright updatedNature of the data (descriptive) - Copyright updated
Nature of the data (descriptive) - Copyright updated
 
Dichotomous or scaled
Dichotomous or scaledDichotomous or scaled
Dichotomous or scaled
 
Skewed less than 30 (ties)
Skewed less than 30 (ties)Skewed less than 30 (ties)
Skewed less than 30 (ties)
 
Skewed sample size less than 30
Skewed sample size less than 30Skewed sample size less than 30
Skewed sample size less than 30
 
Ordinal (ties)
Ordinal (ties)Ordinal (ties)
Ordinal (ties)
 
Ordinal and nominal
Ordinal and nominalOrdinal and nominal
Ordinal and nominal
 
Relationship covariates
Relationship   covariatesRelationship   covariates
Relationship covariates
 
Relationship nature of data
Relationship nature of dataRelationship nature of data
Relationship nature of data
 
Number of variables (predictive)
Number of variables (predictive)Number of variables (predictive)
Number of variables (predictive)
 
Levels of the iv
Levels of the ivLevels of the iv
Levels of the iv
 
Independent variables (2)
Independent variables (2)Independent variables (2)
Independent variables (2)
 

Recently uploaded

Additional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdfAdditional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdfjoachimlavalley1
 
Benefits and Challenges of Using Open Educational Resources
Benefits and Challenges of Using Open Educational ResourcesBenefits and Challenges of Using Open Educational Resources
Benefits and Challenges of Using Open Educational Resourcesdimpy50
 
Home assignment II on Spectroscopy 2024 Answers.pdf
Home assignment II on Spectroscopy 2024 Answers.pdfHome assignment II on Spectroscopy 2024 Answers.pdf
Home assignment II on Spectroscopy 2024 Answers.pdfTamralipta Mahavidyalaya
 
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxStudents, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
 
2024_Student Session 2_ Set Plan Preparation.pptx
2024_Student Session 2_ Set Plan Preparation.pptx2024_Student Session 2_ Set Plan Preparation.pptx
2024_Student Session 2_ Set Plan Preparation.pptxmansk2
 
Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345beazzy04
 
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXXPhrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXXMIRIAMSALINAS13
 
Instructions for Submissions thorugh G- Classroom.pptx
Instructions for Submissions thorugh G- Classroom.pptxInstructions for Submissions thorugh G- Classroom.pptx
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
 
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdfAdversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdfPo-Chuan Chen
 
How to Break the cycle of negative Thoughts
How to Break the cycle of negative ThoughtsHow to Break the cycle of negative Thoughts
How to Break the cycle of negative ThoughtsCol Mukteshwar Prasad
 
Basic Civil Engg Notes_Chapter-6_Environment Pollution & Engineering
Basic Civil Engg Notes_Chapter-6_Environment Pollution & EngineeringBasic Civil Engg Notes_Chapter-6_Environment Pollution & Engineering
Basic Civil Engg Notes_Chapter-6_Environment Pollution & EngineeringDenish Jangid
 
slides CapTechTalks Webinar May 2024 Alexander Perry.pptx
slides CapTechTalks Webinar May 2024 Alexander Perry.pptxslides CapTechTalks Webinar May 2024 Alexander Perry.pptx
slides CapTechTalks Webinar May 2024 Alexander Perry.pptxCapitolTechU
 
Accounting and finance exit exam 2016 E.C.pdf
Accounting and finance exit exam 2016 E.C.pdfAccounting and finance exit exam 2016 E.C.pdf
Accounting and finance exit exam 2016 E.C.pdfYibeltalNibretu
 
Basic_QTL_Marker-assisted_Selection_Sourabh.ppt
Basic_QTL_Marker-assisted_Selection_Sourabh.pptBasic_QTL_Marker-assisted_Selection_Sourabh.ppt
Basic_QTL_Marker-assisted_Selection_Sourabh.pptSourabh Kumar
 
Application of Matrices in real life. Presentation on application of matrices
Application of Matrices in real life. Presentation on application of matricesApplication of Matrices in real life. Presentation on application of matrices
Application of Matrices in real life. Presentation on application of matricesRased Khan
 
50 ĐỀ LUYỆN THI IOE LỚP 9 - NĂM HỌC 2022-2023 (CÓ LINK HÌNH, FILE AUDIO VÀ ĐÁ...
50 ĐỀ LUYỆN THI IOE LỚP 9 - NĂM HỌC 2022-2023 (CÓ LINK HÌNH, FILE AUDIO VÀ ĐÁ...50 ĐỀ LUYỆN THI IOE LỚP 9 - NĂM HỌC 2022-2023 (CÓ LINK HÌNH, FILE AUDIO VÀ ĐÁ...
50 ĐỀ LUYỆN THI IOE LỚP 9 - NĂM HỌC 2022-2023 (CÓ LINK HÌNH, FILE AUDIO VÀ ĐÁ...Nguyen Thanh Tu Collection
 
Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxRaedMohamed3
 
Jose-Rizal-and-Philippine-Nationalism-National-Symbol-2.pptx
Jose-Rizal-and-Philippine-Nationalism-National-Symbol-2.pptxJose-Rizal-and-Philippine-Nationalism-National-Symbol-2.pptx
Jose-Rizal-and-Philippine-Nationalism-National-Symbol-2.pptxricssacare
 
Basic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumersBasic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumersPedroFerreira53928
 

Recently uploaded (20)

Additional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdfAdditional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdf
 
Benefits and Challenges of Using Open Educational Resources
Benefits and Challenges of Using Open Educational ResourcesBenefits and Challenges of Using Open Educational Resources
Benefits and Challenges of Using Open Educational Resources
 
Home assignment II on Spectroscopy 2024 Answers.pdf
Home assignment II on Spectroscopy 2024 Answers.pdfHome assignment II on Spectroscopy 2024 Answers.pdf
Home assignment II on Spectroscopy 2024 Answers.pdf
 
B.ed spl. HI pdusu exam paper-2023-24.pdf
B.ed spl. HI pdusu exam paper-2023-24.pdfB.ed spl. HI pdusu exam paper-2023-24.pdf
B.ed spl. HI pdusu exam paper-2023-24.pdf
 
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxStudents, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
 
2024_Student Session 2_ Set Plan Preparation.pptx
2024_Student Session 2_ Set Plan Preparation.pptx2024_Student Session 2_ Set Plan Preparation.pptx
2024_Student Session 2_ Set Plan Preparation.pptx
 
Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345
 
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXXPhrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
 
Instructions for Submissions thorugh G- Classroom.pptx
Instructions for Submissions thorugh G- Classroom.pptxInstructions for Submissions thorugh G- Classroom.pptx
Instructions for Submissions thorugh G- Classroom.pptx
 
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdfAdversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
 
How to Break the cycle of negative Thoughts
How to Break the cycle of negative ThoughtsHow to Break the cycle of negative Thoughts
How to Break the cycle of negative Thoughts
 
Basic Civil Engg Notes_Chapter-6_Environment Pollution & Engineering
Basic Civil Engg Notes_Chapter-6_Environment Pollution & EngineeringBasic Civil Engg Notes_Chapter-6_Environment Pollution & Engineering
Basic Civil Engg Notes_Chapter-6_Environment Pollution & Engineering
 
slides CapTechTalks Webinar May 2024 Alexander Perry.pptx
slides CapTechTalks Webinar May 2024 Alexander Perry.pptxslides CapTechTalks Webinar May 2024 Alexander Perry.pptx
slides CapTechTalks Webinar May 2024 Alexander Perry.pptx
 
Accounting and finance exit exam 2016 E.C.pdf
Accounting and finance exit exam 2016 E.C.pdfAccounting and finance exit exam 2016 E.C.pdf
Accounting and finance exit exam 2016 E.C.pdf
 
Basic_QTL_Marker-assisted_Selection_Sourabh.ppt
Basic_QTL_Marker-assisted_Selection_Sourabh.pptBasic_QTL_Marker-assisted_Selection_Sourabh.ppt
Basic_QTL_Marker-assisted_Selection_Sourabh.ppt
 
Application of Matrices in real life. Presentation on application of matrices
Application of Matrices in real life. Presentation on application of matricesApplication of Matrices in real life. Presentation on application of matrices
Application of Matrices in real life. Presentation on application of matrices
 
50 ĐỀ LUYỆN THI IOE LỚP 9 - NĂM HỌC 2022-2023 (CÓ LINK HÌNH, FILE AUDIO VÀ ĐÁ...
50 ĐỀ LUYỆN THI IOE LỚP 9 - NĂM HỌC 2022-2023 (CÓ LINK HÌNH, FILE AUDIO VÀ ĐÁ...50 ĐỀ LUYỆN THI IOE LỚP 9 - NĂM HỌC 2022-2023 (CÓ LINK HÌNH, FILE AUDIO VÀ ĐÁ...
50 ĐỀ LUYỆN THI IOE LỚP 9 - NĂM HỌC 2022-2023 (CÓ LINK HÌNH, FILE AUDIO VÀ ĐÁ...
 
Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptx
 
Jose-Rizal-and-Philippine-Nationalism-National-Symbol-2.pptx
Jose-Rizal-and-Philippine-Nationalism-National-Symbol-2.pptxJose-Rizal-and-Philippine-Nationalism-National-Symbol-2.pptx
Jose-Rizal-and-Philippine-Nationalism-National-Symbol-2.pptx
 
Basic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumersBasic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumers
 

Range select - run - interpret

  • 2. Standard Deviation In this learning module you will learn and practice three skills:
  • 3. Standard Deviation In this learning module you will learn and practice three skills: 1. Selecting the mean among other statistics. 2. Running the mean in SPSS. 3. Interpreting the mean in SPSS 4. Explaining the mean conceptually
  • 4. Standard Deviation • Select – link to flashcards* • Run in SPSS – link to instructions (one group or two groups) • Interpret - link to instructions • Explain – link to instructions *don’t use until you have learned how to select the mean, median, mode, range, standard deviation & interquartile range.