SlideShare a Scribd company logo
1 of 11
Download to read offline
Kindergarten Math
Intervention
Research Question #1: -Are the
differences between the gains made by the
MMT group and those made by the control
group statistically significant?
An independent-sample t-test was used to determine the effectiveness of the MMT
program by comparing the total number of points gained between the pre and post tests
for each student. The result was significant at the α=.05 level, t(346) = 19.41, p >.001,
two-tailed, d = 1.958. The mean of the MTT group (M = 84.1, SD = 20.6) was
significantly higher than the control group mean (M = 40.35, SD = 23.969), as shown
in figure 1. With a cohen's d of 1.957, the effect size was very large.
Research Question #2: Is overall
class rating equally distributed
across SES?
Research Question #2: Is overall
class rating equally distributed
across SES?
A chi-squared goodness of fit test was used to determine whether
overall class rating was equally distributed across SES in this sample
group. An analysis of the results suggest that ice cream preference was
not equal, χ2(4) = 55 , p >.001. This result does not support the
hypothesis that overall class rating is evenly distributed across SES in
the sample group. Overall class rating is not independent of SES. As
shown in Figure 2 while a majority of students fell within Benchmark
level, and in the free lunch category, 70% of the paid group of students
met the benchmarks, while only 50% and 56% of the free and reduced
categories respectively met the benchmarks. Only 25% of the students
in the paid category fell in the strategic category, while 33% and 37%
of the free and reduced students respectively fell into the strategic
category.
Research Question #3:
Tx, Ctrl, and State, on Composite
Score from All State Tests
- normally distributed, equally variant,
independent
Group ID

Mean

N

Std. Deviation

Skewness

MMT

165.84

262

40.429

-0.831

Control

134.43

202

46.134

-0.304

State

158.71

1136

41.821

-0.661

Total

156.81

1600

43.07

-0.65
Research Question #3:
Tx, Ctrl, and State, on Composite
Score from All State Tests (cont'd)
- One-way ANOVA
- F(2,1597) = 35.614, p<.001, η2 = .043,
almost-medium effect size
- Tukey's HSD found between all three
groups
- treatment group scored highest, then rest
of the state, then control group
Research Question #3:
Tx, Ctrl, and State, on Composite
Score from All State Tests (cont'd)
Score by Group ID

pity the
control
group!
Research Question #4: Tx Score on
final post-test x State Composite
Score
- normally distributed
Descriptives
Mean

Std.
Deviation

N

State Composite Score

156.81

43.07

1600

MMT Post KG2

66.08

24.941

479
Research Question #4: Tx Score on
final post-test x State Composite
Score (cont'd)
- two continuous variables
- Pearson correlation
- Pearson r = .734, p<.001, two-tailed
- r2 = .54, very large effect size!
Research Question #4: Tx Score on
final post-test x State Composite
Score (cont'd)
Post KG2 x State Composite
similar
content,
close test
occasions,
or effective
intervention?

More Related Content

Similar to Stats presentation

One-Sample Hypothesis Tests
One-Sample Hypothesis TestsOne-Sample Hypothesis Tests
One-Sample Hypothesis TestsSr Edith Bogue
 
Inferential Statistics.pptx
Inferential Statistics.pptxInferential Statistics.pptx
Inferential Statistics.pptxjonatanjohn1
 
math homework helpComplete Exercises 11 and 16 in Statistics for.docx
math homework helpComplete Exercises 11 and 16 in Statistics for.docxmath homework helpComplete Exercises 11 and 16 in Statistics for.docx
math homework helpComplete Exercises 11 and 16 in Statistics for.docxsalmonpybus
 
1) You want to compare improvement in depression scores on the PHQ-9.docx
1) You want to compare improvement in depression scores on the PHQ-9.docx1) You want to compare improvement in depression scores on the PHQ-9.docx
1) You want to compare improvement in depression scores on the PHQ-9.docxlindorffgarrik
 
Measures of central tendency (ungrouped data)
Measures of central tendency (ungrouped data)Measures of central tendency (ungrouped data)
Measures of central tendency (ungrouped data)LilianneSoriano
 
Running head DOES EATING BREAKFAST INCREASE TEST SCORES .docx
Running head DOES EATING BREAKFAST INCREASE TEST SCORES          .docxRunning head DOES EATING BREAKFAST INCREASE TEST SCORES          .docx
Running head DOES EATING BREAKFAST INCREASE TEST SCORES .docxtodd271
 
Statistical test in spss
Statistical test in spssStatistical test in spss
Statistical test in spssBipin Neupane
 
Applied statistics lecture_3
Applied statistics lecture_3Applied statistics lecture_3
Applied statistics lecture_3Daria Bogdanova
 
Writing up your results – apa style guidelines
Writing up your results – apa style guidelinesWriting up your results – apa style guidelines
Writing up your results – apa style guidelinesMarialena Kostouli
 
122416, 11(23 AMModule 8 Mastery Exercise SchoologyPa.docx
122416, 11(23 AMModule 8 Mastery Exercise  SchoologyPa.docx122416, 11(23 AMModule 8 Mastery Exercise  SchoologyPa.docx
122416, 11(23 AMModule 8 Mastery Exercise SchoologyPa.docxmoggdede
 
Analysis of variance
Analysis of varianceAnalysis of variance
Analysis of varianceRavi Rohilla
 
HFS3283 paired t tes-t and anova
HFS3283 paired t tes-t and anovaHFS3283 paired t tes-t and anova
HFS3283 paired t tes-t and anovawajihahwafa
 
Effects of Strategic Intervention Material on the Academic Achievements in Ch...
Effects of Strategic Intervention Material on the Academic Achievements in Ch...Effects of Strategic Intervention Material on the Academic Achievements in Ch...
Effects of Strategic Intervention Material on the Academic Achievements in Ch...neoyen
 
Assigned Exercises Block 4Introduction to Statistical Infere.docx
Assigned Exercises  Block 4Introduction to Statistical Infere.docxAssigned Exercises  Block 4Introduction to Statistical Infere.docx
Assigned Exercises Block 4Introduction to Statistical Infere.docxfredharris32
 
Identify each of the following as examples of nominal, ordinal, inte.docx
Identify each of the following as examples of nominal, ordinal, inte.docxIdentify each of the following as examples of nominal, ordinal, inte.docx
Identify each of the following as examples of nominal, ordinal, inte.docxscuttsginette
 
Experimental design data analysis
Experimental design data analysisExperimental design data analysis
Experimental design data analysismetalkid132
 
Classroom research
Classroom researchClassroom research
Classroom researchCarlo Magno
 
Research metholodogy report
Research metholodogy reportResearch metholodogy report
Research metholodogy reportHarjas Singh
 

Similar to Stats presentation (20)

One-Sample Hypothesis Tests
One-Sample Hypothesis TestsOne-Sample Hypothesis Tests
One-Sample Hypothesis Tests
 
Inferential Statistics.pptx
Inferential Statistics.pptxInferential Statistics.pptx
Inferential Statistics.pptx
 
Data analysis
Data analysisData analysis
Data analysis
 
math homework helpComplete Exercises 11 and 16 in Statistics for.docx
math homework helpComplete Exercises 11 and 16 in Statistics for.docxmath homework helpComplete Exercises 11 and 16 in Statistics for.docx
math homework helpComplete Exercises 11 and 16 in Statistics for.docx
 
1) You want to compare improvement in depression scores on the PHQ-9.docx
1) You want to compare improvement in depression scores on the PHQ-9.docx1) You want to compare improvement in depression scores on the PHQ-9.docx
1) You want to compare improvement in depression scores on the PHQ-9.docx
 
Measures of central tendency (ungrouped data)
Measures of central tendency (ungrouped data)Measures of central tendency (ungrouped data)
Measures of central tendency (ungrouped data)
 
Running head DOES EATING BREAKFAST INCREASE TEST SCORES .docx
Running head DOES EATING BREAKFAST INCREASE TEST SCORES          .docxRunning head DOES EATING BREAKFAST INCREASE TEST SCORES          .docx
Running head DOES EATING BREAKFAST INCREASE TEST SCORES .docx
 
Statistical test in spss
Statistical test in spssStatistical test in spss
Statistical test in spss
 
Applied statistics lecture_3
Applied statistics lecture_3Applied statistics lecture_3
Applied statistics lecture_3
 
Writing up your results – apa style guidelines
Writing up your results – apa style guidelinesWriting up your results – apa style guidelines
Writing up your results – apa style guidelines
 
122416, 11(23 AMModule 8 Mastery Exercise SchoologyPa.docx
122416, 11(23 AMModule 8 Mastery Exercise  SchoologyPa.docx122416, 11(23 AMModule 8 Mastery Exercise  SchoologyPa.docx
122416, 11(23 AMModule 8 Mastery Exercise SchoologyPa.docx
 
Analysis of variance
Analysis of varianceAnalysis of variance
Analysis of variance
 
ADAA_2016_Poster_Final
ADAA_2016_Poster_FinalADAA_2016_Poster_Final
ADAA_2016_Poster_Final
 
HFS3283 paired t tes-t and anova
HFS3283 paired t tes-t and anovaHFS3283 paired t tes-t and anova
HFS3283 paired t tes-t and anova
 
Effects of Strategic Intervention Material on the Academic Achievements in Ch...
Effects of Strategic Intervention Material on the Academic Achievements in Ch...Effects of Strategic Intervention Material on the Academic Achievements in Ch...
Effects of Strategic Intervention Material on the Academic Achievements in Ch...
 
Assigned Exercises Block 4Introduction to Statistical Infere.docx
Assigned Exercises  Block 4Introduction to Statistical Infere.docxAssigned Exercises  Block 4Introduction to Statistical Infere.docx
Assigned Exercises Block 4Introduction to Statistical Infere.docx
 
Identify each of the following as examples of nominal, ordinal, inte.docx
Identify each of the following as examples of nominal, ordinal, inte.docxIdentify each of the following as examples of nominal, ordinal, inte.docx
Identify each of the following as examples of nominal, ordinal, inte.docx
 
Experimental design data analysis
Experimental design data analysisExperimental design data analysis
Experimental design data analysis
 
Classroom research
Classroom researchClassroom research
Classroom research
 
Research metholodogy report
Research metholodogy reportResearch metholodogy report
Research metholodogy report
 

Recently uploaded

Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxRoyAbrique
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting DataJhengPantaleon
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application ) Sakshi Ghasle
 
Concept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfConcept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfUmakantAnnand
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppCeline George
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdfssuser54595a
 
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991RKavithamani
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
Micromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of PowdersMicromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of PowdersChitralekhaTherkar
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Celine George
 

Recently uploaded (20)

Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application )
 
Concept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfConcept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.Compdf
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website App
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
 
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
Micromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of PowdersMicromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of Powders
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
 

Stats presentation

  • 2. Research Question #1: -Are the differences between the gains made by the MMT group and those made by the control group statistically significant? An independent-sample t-test was used to determine the effectiveness of the MMT program by comparing the total number of points gained between the pre and post tests for each student. The result was significant at the α=.05 level, t(346) = 19.41, p >.001, two-tailed, d = 1.958. The mean of the MTT group (M = 84.1, SD = 20.6) was significantly higher than the control group mean (M = 40.35, SD = 23.969), as shown in figure 1. With a cohen's d of 1.957, the effect size was very large.
  • 3.
  • 4. Research Question #2: Is overall class rating equally distributed across SES?
  • 5. Research Question #2: Is overall class rating equally distributed across SES? A chi-squared goodness of fit test was used to determine whether overall class rating was equally distributed across SES in this sample group. An analysis of the results suggest that ice cream preference was not equal, χ2(4) = 55 , p >.001. This result does not support the hypothesis that overall class rating is evenly distributed across SES in the sample group. Overall class rating is not independent of SES. As shown in Figure 2 while a majority of students fell within Benchmark level, and in the free lunch category, 70% of the paid group of students met the benchmarks, while only 50% and 56% of the free and reduced categories respectively met the benchmarks. Only 25% of the students in the paid category fell in the strategic category, while 33% and 37% of the free and reduced students respectively fell into the strategic category.
  • 6. Research Question #3: Tx, Ctrl, and State, on Composite Score from All State Tests - normally distributed, equally variant, independent Group ID Mean N Std. Deviation Skewness MMT 165.84 262 40.429 -0.831 Control 134.43 202 46.134 -0.304 State 158.71 1136 41.821 -0.661 Total 156.81 1600 43.07 -0.65
  • 7. Research Question #3: Tx, Ctrl, and State, on Composite Score from All State Tests (cont'd) - One-way ANOVA - F(2,1597) = 35.614, p<.001, η2 = .043, almost-medium effect size - Tukey's HSD found between all three groups - treatment group scored highest, then rest of the state, then control group
  • 8. Research Question #3: Tx, Ctrl, and State, on Composite Score from All State Tests (cont'd) Score by Group ID pity the control group!
  • 9. Research Question #4: Tx Score on final post-test x State Composite Score - normally distributed Descriptives Mean Std. Deviation N State Composite Score 156.81 43.07 1600 MMT Post KG2 66.08 24.941 479
  • 10. Research Question #4: Tx Score on final post-test x State Composite Score (cont'd) - two continuous variables - Pearson correlation - Pearson r = .734, p<.001, two-tailed - r2 = .54, very large effect size!
  • 11. Research Question #4: Tx Score on final post-test x State Composite Score (cont'd) Post KG2 x State Composite similar content, close test occasions, or effective intervention?