SlideShare a Scribd company logo
1 of 2
Nama : marizah m
Nim : Po7131312020
Kasus :
Seorang peneliti ingin melihat apakah ada hubungan berat badan seorang wanita usia 20 tahun hingga 50 tahun dengan letak tempat tinggal
antara desa dan kota.
Master tabel
No Nama umur jenis kelamin usia tempat tinggal
1 yani 34 perempuan 45 kota
2 zulfah 43 perempuan 65 kota
3 rahma 50 perempuan 74 kota
4 susi 23 perempuan 34 kota
5 nanda 20 perempuan 45 kota
6 mega 32 perempuan 55 kota
7 wati 23 perempuan 56 kota
8 fitri 43 perempuan 56 kota
9 tia 32 perempuan 56 kota
10 mawar 34 perempuan 57 kota
11 melati 21 perempuan 58 kota
12 indah 20 perempuan 59 kota
13 eva 20 perempuan 50 kota
14 marizah 20 perempuan 45 kota
15 riski 24 perempuan 46 kota
16 ida 25 perempuan 47 kota
17 ratna 26 perempuan 45 kota
18 retno 31 perempuan 49 kota
19 sapuan 21 perempuan 35 kota
20 muliani 20 perempuan 46 kota
21 hikma 34 perempuan 57 desa
22 rahmi 35 perempuan 47 desa
23 elin 43 perempuan 45 desa
24 ezha 28 perempuan 40 desa
25 cut 42 perempuan 43 desa
26 putri 50 perempuan 43 desa
27 ismi 25 perempuan 42 desa
28 alyah 32 perempuan 53 desa
29 yulisnaini 24 perempuan 45 desa
30 dinda 27 perempuan 39 desa
31 aini 29 perempuan 45 desa
32 ainun 32 perempuan 46 desa
33 rossy 33 perempuan 47 desa
34 nonong 42 perempuan 48 desa
35 nunung 28 perempuan 49 desa
36 nining 42 perempuan 50 desa
37 yuliaindri 37 perempuan 51 desa
38 yuliafitri 43 perempuan 52 desa
39 anik 21 perempuan 53 desa
40 rina 32 perempuan 55 desa
DATASET ACTIVATE DataSet4. T-TEST GROUPS=tempat_tinggal(1 2) /MISSING=ANALYSIS /VARIABLES=berat_badan
/CRITERIA=CI(.95).
T-Test
Group Statistics
tempat
tinggal N Mean Std. Deviation Std. Error Mean
berat badan Kota 20 51.15 9.527 2.130
Desa 20 47.50 4.968 1.111
Independent Samples Test
Levene's Test for Equality of
Variances t-test for Equality of Means
95% Confidence Interval of the
Difference
F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference Lower Upper
berat badan Equal
variances
assumed
6.513 .015 1.519 38 .137 3.650 2.403 -1.214 8.514
Equal
variances
not
assumed
1.519 28.623 .140 3.650 2.403 -1.267 8.567
Cara melihat :
1. Lihat lah sig pada Equal variances assumed dan Equal variances not assumed dengan nilai sig 0.015
2. Bandingkan dengan derajat T tabel sebesar 0.05 (sig=0.015<0.05)jadi yang di lihat pada kolom yang di bagian bawah
3. Di lihat (sig (2 table) 0.140 >0.05
Kesimpulan :
Karena T table nya lebih besar maka H0 nya di tolak
Artinya ada hungungan antara berat badan wanita berdasarkan tempat tinggal
Yang mana bisa menjadi bahan penelitian lanjutan yang mengukur mengapa,bagaimana berat badan wanita di pengaruhi tempat tinggal

More Related Content

Featured

Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)contently
 
How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024Albert Qian
 
Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsKurio // The Social Media Age(ncy)
 
Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Search Engine Journal
 
5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summarySpeakerHub
 
ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd Clark Boyd
 
Getting into the tech field. what next
Getting into the tech field. what next Getting into the tech field. what next
Getting into the tech field. what next Tessa Mero
 
Google's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentGoogle's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentLily Ray
 
Time Management & Productivity - Best Practices
Time Management & Productivity -  Best PracticesTime Management & Productivity -  Best Practices
Time Management & Productivity - Best PracticesVit Horky
 
The six step guide to practical project management
The six step guide to practical project managementThe six step guide to practical project management
The six step guide to practical project managementMindGenius
 
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...RachelPearson36
 
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...Applitools
 
12 Ways to Increase Your Influence at Work
12 Ways to Increase Your Influence at Work12 Ways to Increase Your Influence at Work
12 Ways to Increase Your Influence at WorkGetSmarter
 
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...DevGAMM Conference
 
Barbie - Brand Strategy Presentation
Barbie - Brand Strategy PresentationBarbie - Brand Strategy Presentation
Barbie - Brand Strategy PresentationErica Santiago
 
Good Stuff Happens in 1:1 Meetings: Why you need them and how to do them well
Good Stuff Happens in 1:1 Meetings: Why you need them and how to do them wellGood Stuff Happens in 1:1 Meetings: Why you need them and how to do them well
Good Stuff Happens in 1:1 Meetings: Why you need them and how to do them wellSaba Software
 

Featured (20)

Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)
 
How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024
 
Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie Insights
 
Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024
 
5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary
 
ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd
 
Getting into the tech field. what next
Getting into the tech field. what next Getting into the tech field. what next
Getting into the tech field. what next
 
Google's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentGoogle's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search Intent
 
How to have difficult conversations
How to have difficult conversations How to have difficult conversations
How to have difficult conversations
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data Science
 
Time Management & Productivity - Best Practices
Time Management & Productivity -  Best PracticesTime Management & Productivity -  Best Practices
Time Management & Productivity - Best Practices
 
The six step guide to practical project management
The six step guide to practical project managementThe six step guide to practical project management
The six step guide to practical project management
 
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
 
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
 
12 Ways to Increase Your Influence at Work
12 Ways to Increase Your Influence at Work12 Ways to Increase Your Influence at Work
12 Ways to Increase Your Influence at Work
 
ChatGPT webinar slides
ChatGPT webinar slidesChatGPT webinar slides
ChatGPT webinar slides
 
More than Just Lines on a Map: Best Practices for U.S Bike Routes
More than Just Lines on a Map: Best Practices for U.S Bike RoutesMore than Just Lines on a Map: Best Practices for U.S Bike Routes
More than Just Lines on a Map: Best Practices for U.S Bike Routes
 
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...
 
Barbie - Brand Strategy Presentation
Barbie - Brand Strategy PresentationBarbie - Brand Strategy Presentation
Barbie - Brand Strategy Presentation
 
Good Stuff Happens in 1:1 Meetings: Why you need them and how to do them well
Good Stuff Happens in 1:1 Meetings: Why you need them and how to do them wellGood Stuff Happens in 1:1 Meetings: Why you need them and how to do them well
Good Stuff Happens in 1:1 Meetings: Why you need them and how to do them well
 

New microsoft office word document

  • 1. Nama : marizah m Nim : Po7131312020 Kasus : Seorang peneliti ingin melihat apakah ada hubungan berat badan seorang wanita usia 20 tahun hingga 50 tahun dengan letak tempat tinggal antara desa dan kota. Master tabel No Nama umur jenis kelamin usia tempat tinggal 1 yani 34 perempuan 45 kota 2 zulfah 43 perempuan 65 kota 3 rahma 50 perempuan 74 kota 4 susi 23 perempuan 34 kota 5 nanda 20 perempuan 45 kota 6 mega 32 perempuan 55 kota 7 wati 23 perempuan 56 kota 8 fitri 43 perempuan 56 kota 9 tia 32 perempuan 56 kota 10 mawar 34 perempuan 57 kota 11 melati 21 perempuan 58 kota 12 indah 20 perempuan 59 kota 13 eva 20 perempuan 50 kota 14 marizah 20 perempuan 45 kota 15 riski 24 perempuan 46 kota 16 ida 25 perempuan 47 kota 17 ratna 26 perempuan 45 kota 18 retno 31 perempuan 49 kota 19 sapuan 21 perempuan 35 kota 20 muliani 20 perempuan 46 kota 21 hikma 34 perempuan 57 desa 22 rahmi 35 perempuan 47 desa 23 elin 43 perempuan 45 desa 24 ezha 28 perempuan 40 desa 25 cut 42 perempuan 43 desa 26 putri 50 perempuan 43 desa 27 ismi 25 perempuan 42 desa 28 alyah 32 perempuan 53 desa 29 yulisnaini 24 perempuan 45 desa 30 dinda 27 perempuan 39 desa 31 aini 29 perempuan 45 desa 32 ainun 32 perempuan 46 desa 33 rossy 33 perempuan 47 desa 34 nonong 42 perempuan 48 desa 35 nunung 28 perempuan 49 desa 36 nining 42 perempuan 50 desa 37 yuliaindri 37 perempuan 51 desa 38 yuliafitri 43 perempuan 52 desa 39 anik 21 perempuan 53 desa 40 rina 32 perempuan 55 desa
  • 2. DATASET ACTIVATE DataSet4. T-TEST GROUPS=tempat_tinggal(1 2) /MISSING=ANALYSIS /VARIABLES=berat_badan /CRITERIA=CI(.95). T-Test Group Statistics tempat tinggal N Mean Std. Deviation Std. Error Mean berat badan Kota 20 51.15 9.527 2.130 Desa 20 47.50 4.968 1.111 Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Difference F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference Lower Upper berat badan Equal variances assumed 6.513 .015 1.519 38 .137 3.650 2.403 -1.214 8.514 Equal variances not assumed 1.519 28.623 .140 3.650 2.403 -1.267 8.567 Cara melihat : 1. Lihat lah sig pada Equal variances assumed dan Equal variances not assumed dengan nilai sig 0.015 2. Bandingkan dengan derajat T tabel sebesar 0.05 (sig=0.015<0.05)jadi yang di lihat pada kolom yang di bagian bawah 3. Di lihat (sig (2 table) 0.140 >0.05 Kesimpulan : Karena T table nya lebih besar maka H0 nya di tolak Artinya ada hungungan antara berat badan wanita berdasarkan tempat tinggal Yang mana bisa menjadi bahan penelitian lanjutan yang mengukur mengapa,bagaimana berat badan wanita di pengaruhi tempat tinggal