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Statistics with R Programming Part 1 | What is Descriptive Statistics in R | Data Science Tutorial
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Statistics with R Programming Part 1 | What is Descriptive Statistics in R | Data Science Tutorial
Hello and welcome to Statistics Tutorial with R Programming Part 1 powered by Acadgild. Before we get into the tutorial let’s check the subsequent topics covered in the series.
• Descriptive Statistics
• Random Variables
• Hypothesis Testing
• Type 1 and Type 2 Errors
• Confidence intervals
• Anova Test
What does Descriptive Statistics deal with?
Descriptive statistics basically deals with 4 major areas,
1. Measures of frequency
2. Measures of Central Tendency
3. Dispersion
4. Measures of Position
What is the purpose of Descriptive statistics?
Descriptive Statistics establishes a pattern in the dataset which is essential to find out the characteristics in the observation. If we have to speak in biological terms this parameter comprises of the gene of the dataset. Such as complex problems like election vote calculations.
In this video, you will be able to learn the first 2 two topics i.e. measures of frequency and central tendency.
What is measures of frequency?
Measures of frequency basically involved in the creation of the frequency table. Where we calculate the frequency and the cumulative frequencies with respect to each data value.
So, what do frequency and cumulative mean?
It is the number of times a particular data value occurs.
Cumulative frequency: It is the sum of all previous frequencies up to the current point.
Kindly go through the complete video and shoot your queries in the comment section. Please subscribe and stay tuned for more such videos.
#statisticswithR, #DescriptiveStatistics, #Statisticstutorial, #Datascience,
For more updates on courses and tips follow us on:
Hello and welcome to Statistics Tutorial with R Programming Part 1 powered by Acadgild. Before we get into the tutorial let’s check the subsequent topics covered in the series.
• Descriptive Statistics
• Random Variables
• Hypothesis Testing
• Type 1 and Type 2 Errors
• Confidence intervals
• Anova Test
What does Descriptive Statistics deal with?
Descriptive statistics basically deals with 4 major areas,
1. Measures of frequency
2. Measures of Central Tendency
3. Dispersion
4. Measures of Position
What is the purpose of Descriptive statistics?
Descriptive Statistics establishes a pattern in the dataset which is essential to find out the characteristics in the observation. If we have to speak in biological terms this parameter comprises of the gene of the dataset. Such as complex problems like election vote calculations.
In this video, you will be able to learn the first 2 two topics i.e. measures of frequency and central tendency.
What is measures of frequency?
Measures of frequency basically involved in the creation of the frequency table. Where we calculate the frequency and the cumulative frequencies with respect to each data value.
So, what do frequency and cumulative mean?
It is the number of times a particular data value occurs.
Cumulative frequency: It is the sum of all previous frequencies up to the current point.
Kindly go through the complete video and shoot your queries in the comment section. Please subscribe and stay tuned for more such videos.
#statisticswithR, #DescriptiveStatistics, #Statisticstutorial, #Datascience,
For more updates on courses and tips follow us on:
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