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Database Management Exam  >  Database Management Videos  >  Mastering R Programming: For Data Science and Analytics  >  Two-Sample t Test in R: Independent Groups (R Tutorial 4.2)

Two-Sample t Test in R: Independent Groups (R Tutorial 4.2) Video Lecture | Mastering R Programming: For Data Science and Analytics - Database Management

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00:10 When should we use the independent two sample t-test and confidence interval in statistics & in research
00:53 How to access the help menu in R for t-test
01:04 How to visually examine the relationship between two variables in R
01:18 How to conduct an independent two-sided t-test with non-equal population variances in R using the "t.test" function
01:56 Introducing the null and alternative hypothesis, the confidence interval, and variance assumption with example
03:06 How to use the "mu" argument in two-sided t-test
03:12 How to use the "alt" argument to do a one-sided t-test
03:18 How to use the "conf" argument to change the confidence level for the t-test
03:24 How to use the "var.eq" argument to assume equal population variances for t-test
03:29 How to let R know that groups are paired or dependent using the "paired" argument
03:37 Two different ways for separating the groups in "t.test" command/function in R
04:18 How to decide if we should assume equal or non-equal variances using boxplot
04:38 How to decide if we should assume equal or non equal variances comparing the actual variances
05:02 How to test the null hypothesis "that the population variances are equal" using Levene's test using "leveneTest" function
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Nov 24, 2024 Last updated
Video Description: Two-Sample t Test in R: Independent Groups (R Tutorial 4.2) for Database Management 2024 is part of Mastering R Programming: For Data Science and Analytics preparation. The notes and questions for Two-Sample t Test in R: Independent Groups (R Tutorial 4.2) have been prepared according to the Database Management exam syllabus. Information about Two-Sample t Test in R: Independent Groups (R Tutorial 4.2) covers all important topics for Database Management 2024 Exam. Find important definitions, questions, notes, meanings, examples, exercises and tests below for Two-Sample t Test in R: Independent Groups (R Tutorial 4.2).
Introduction of Two-Sample t Test in R: Independent Groups (R Tutorial 4.2) in English is available as part of our Mastering R Programming: For Data Science and Analytics for Database Management & Two-Sample t Test in R: Independent Groups (R Tutorial 4.2) in Hindi for Mastering R Programming: For Data Science and Analytics course. Download more important topics related with notes, lectures and mock test series for Database Management Exam by signing up for free.
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Video Lecture & Questions for Two-Sample t Test in R: Independent Groups (R Tutorial 4.2) Video Lecture | Mastering R Programming: For Data Science and Analytics - Database Management - Database Management full syllabus preparation | Free video for Database Management exam to prepare for Mastering R Programming: For Data Science and Analytics.
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51 videos
Join Course for Free
Video Timeline
Video Timeline
arrow
00:10 When should we use the independent two sample t-test and confidence interval in statistics & in research
00:53 How to access the help menu in R for t-test
01:04 How to visually examine the relationship between two variables in R
01:18 How to conduct an independent two-sided t-test with non-equal population variances in R using the "t.test" function
01:56 Introducing the null and alternative hypothesis, the confidence interval, and variance assumption with example
03:06 How to use the "mu" argument in two-sided t-test
03:12 How to use the "alt" argument to do a one-sided t-test
03:18 How to use the "conf" argument to change the confidence level for the t-test
03:24 How to use the "var.eq" argument to assume equal population variances for t-test
03:29 How to let R know that groups are paired or dependent using the "paired" argument
03:37 Two different ways for separating the groups in "t.test" command/function in R
04:18 How to decide if we should assume equal or non-equal variances using boxplot
04:38 How to decide if we should assume equal or non equal variances comparing the actual variances
05:02 How to test the null hypothesis "that the population variances are equal" using Levene's test using "leveneTest" function
More
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Students of Database Management can study Two-Sample t Test in R: Independent Groups (R Tutorial 4.2) alongwith tests & analysis from the EduRev app, which will help them while preparing for their exam. Apart from the Two-Sample t Test in R: Independent Groups (R Tutorial 4.2), students can also utilize the EduRev App for other study materials such as previous year question papers, syllabus, important questions, etc. The EduRev App will make your learning easier as you can access it from anywhere you want. The content of Two-Sample t Test in R: Independent Groups (R Tutorial 4.2) is prepared as per the latest Database Management syllabus.
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