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- Просмотров 342 363
raffycee
Филиппины
Добавлен 14 июл 2020
Hi! I create contents about statistics, statistical analysis using R, quantitative research, mathematics, and robotics.
Statistics and Probability | Test Concerning Proportions
In this video, I will be demonstrating how to perform test concerning proportions using the standard normal distribution table.
Просмотров: 1 436
Видео
Statistics and Probability | Application of Mean and Variance of a Discrete Random Variable
Просмотров 1,7 тыс.3 года назад
In this video, I will show you how we can apply the concept of mean and variance of a discrete random variable when playing games that involves chances.
Statistics and Probability | Application of Binomial Distributions
Просмотров 3153 года назад
In this video, I will be showing you how we can apply the concept of binomial distributions in games that involves chances.
Statistics and Probability | Probability of a Discrete Random Variable
Просмотров 1,4 тыс.3 года назад
In this video, I will show you how to construct the probability mass function of a discrete random variable and its corresponding probability histogram.
Statistics and Probability | Discrete Random Variable
Просмотров 1,1 тыс.3 года назад
In this video, I will show you how to illustrate a discrete random variable; and identify the sample space and the space of the random variable.
Statistics and Probability | Application of Discrete Random Variables in Games that Involves Chances
Просмотров 1,2 тыс.3 года назад
In this video, I will show you how to apply the concept of discrete random variables in games that involve chances. I will use Ragnarok Online X Fishing mechanic as an example.
Linear Algebra | Finding the Eigenvalues and Eigenvectors of a Matrix
Просмотров 1433 года назад
In this video, I will be demonstrating how to find the eigenvalues and eigenvectors of a matrix.
Linear Algebra | Cramer's Rule
Просмотров 1163 года назад
In this video, I will demonstrate how to solve systems of linear equations using Cramer's Rule
Statistics and Probability | Simple Linear Regression
Просмотров 1,6 тыс.3 года назад
In this video, I will be demonstrating how to estimate the parameters of a simple linear regression given the dataset.
Linear Algebra | Determinants
Просмотров 903 года назад
In this video, I will demonstrate how to compute the determinant of a matrix.
Statistics and Probability | Calculating the Pearson Correlation Coefficient
Просмотров 1,5 тыс.3 года назад
In this video, I will be demonstrating how to calculate the Pearson Correlation Coefficient if the raw data is given.
Statistics and Probability | Test Concerning Means: Population Standard Deviation is Unknown
Просмотров 1,6 тыс.3 года назад
In this video, I will be demonstrating how to perform test concerning means if the population standard deviation is unknown.
Statistics and Probability | Test Concerning Means: Known Population Standard Deviation
Просмотров 3 тыс.3 года назад
In this video, I will be demonstrating to you how to perform test concerning means when the population standard deviation is known.
Linear Algebra | Application of Matrices
Просмотров 1913 года назад
In this video, I will be demonstrating to you how we can apply the concept of matrix operations in cryptography.
Linear Algebra | Inverse of a Matrix
Просмотров 1293 года назад
In this video, I will discuss what an inverse of a matrix is and how to find it using elementary row operations.
Linear Algebra | Application of Matrix Multiplication
Просмотров 1293 года назад
Linear Algebra | Application of Matrix Multiplication
Linear Algebra | Matrix Addition and Scalar Multiplication
Просмотров 1663 года назад
Linear Algebra | Matrix Addition and Scalar Multiplication
Linear Algebra | Gauss-Jordan Elimination using Python
Просмотров 3,6 тыс.3 года назад
Linear Algebra | Gauss-Jordan Elimination using Python
Linear Algebra | Vector Operations and Elementary Row Operations in Python
Просмотров 8713 года назад
Linear Algebra | Vector Operations and Elementary Row Operations in Python
Linear Algebra | Matrices and Row Echelon Form
Просмотров 2733 года назад
Linear Algebra | Matrices and Row Echelon Form
Linear Algebra | Solving Systems of Linear Equations using Substitution and Elimination
Просмотров 1323 года назад
Linear Algebra | Solving Systems of Linear Equations using Substitution and Elimination
Linear Algebra | Vector Addition and Scalar Multiplication
Просмотров 1843 года назад
Linear Algebra | Vector Addition and Scalar Multiplication
Linear Algebra | Length, Distance, and Angles of Vectors
Просмотров 5843 года назад
Linear Algebra | Length, Distance, and Angles of Vectors
Linear Algebra | Properties of Vector Operations
Просмотров 2323 года назад
Linear Algebra | Properties of Vector Operations
Linear Algebra | Vector Addition and Scalar Multiplication
Просмотров 1023 года назад
Linear Algebra | Vector Addition and Scalar Multiplication
RStudio Basics | Fitting a Multiple Linear Regression Model using Backward Elimination Method
Просмотров 2 тыс.3 года назад
RStudio Basics | Fitting a Multiple Linear Regression Model using Backward Elimination Method
Quantitative Research | Regression Analysis
Просмотров 33 тыс.3 года назад
Quantitative Research | Regression Analysis
RStudio Basics | Simple Linear Regression
Просмотров 4553 года назад
RStudio Basics | Simple Linear Regression
Thanks for this comprehensive and very clear explanation
can I use this for the statistical treatment of data of my correlational research?
Thank you this was a easy to follow tutorial to get into R studio. - I don't find the syntax mistake though I'm not sure there is one. for the last plot: plot(data1$Risk.Taking, data1$Opportunity.Evaluation, main ='Scatterplot of Risk Taking and Opportunity Evaluation', xlab='Risk Taking', ylab='Opportunity Evaluation') I get a scatterplot but Risk Taking on the x-Axis is scaled: 4.5, 5.0, 5.5, 6.0, 6.5 and not 0, 20, 40, 60, 80, 100
This is excellent. Thanks for making it.
Thank you, this really helped me with my masters dissertation
interesting. my first time to hear about ordinalists vs intervalists on likert data. my orientation has always been to approach it as ordinal. btw, are you a statistician by profession?
what should I used in measuring the area that water sprinkler occupied?
Hello, I've come across this video of yours, can you suggest the best way in finding out the results with this SOP of mine? SOP 1 - Finding out the demographics of the students pertaining to their sex. SOP 2 - Identifying the final ratings of 2nd year nursing students in all of their NCM lab subjects pertaining to return demonstration activities. SOP 3 - Is there a significant relationship between the academic laboratory performance of nursing students with their demographics? SOP 4 - To carry out the Output and Recommendations after conducting the study. THANK YOU!
Wow! Thanks for sharing🙏
How to do barplot for multible variables?
The plot is not appearing for me. All code is correct. What could I be missing?
I'm learning data analysis from you!!! Thank-you soo much!
"Lick"-ert, not "Like"-ert
What do you mean here by "stress", performance" etc words? Do you know how we can replace them in our cases? I have 5 treatments (independent variables) and multiple dependent (response) variables. 1. How can I do ANOVA at the same time for all groups and for the whole dependent variables? 2. How can I do treatment mean, SD/SEM for each treatment group? 3. How can I give superscript letters for significant treatments/groups for each response variable? Thank you for your help.
Great submission
I have come across debates whether "NEUTRAL" in a five point scale should not be included in the analysis as it doesn't represents any position. I am wondering how his could be taken care of.
So can we give neutral 0 value
Thank you for your video. It's useful. Could you provide me with the full references among the proponents who regard likert scale as interval or approximate ratio..
You can check the descriptions. Thanks.
great video. thank you!
code?
hi sir, I have a study which has a likert scale type of questionnaire and I'm using the data for Multiple Regression Analysis in order to check whether my independent variables have a significant influence on my dependent variable. My research title is about Factors influencing Purchase Intention and I've seen a lot of related studies that uses likert scale data which is then analyzed via Multiple regression. I hope you can help me with this problem... How can I use the likert scale data for multiple regression analysis?
What does normally distributed and not normally distributed?
How can make table if i am comparing between two countries for example?
What variables are you trying to compare? Are they nominal, ordinal, or numeric variables?
Hi there. I liket how you are explaining. how can i contact you? Thanks
my questionnaire is on likert scale data which is ordinal data but my study type is quantitative .. can ia use nonparametric test ??
An accurate description of likert scale and its analysis. Thanks.👍
Thank you so much
I have a hypothesis test where i need to test if mean is <= 20 vs mean > 20. What R studio function should i use Pleaseee
thank you, very helpful!
good starting point for graph making
thank you very much!
Sir What statistical tool or treatment of data should you use in determining the number of respondents who said “yes” or “no” to as particular question as well as the percentage?
Thanks
Hi. Is there any way to perform multiple linear regression on raster time series images?
Hi sir! I used a 4 point likert scale for my study. Is it ok not to solve using t test, or any other statistical analysis methods? Just the mean.
Yes, you can
Thank you
The table in my console doesn't show like here but as a vertical string of outputs. Is there a fix for this?
Very informative
How do you do cross tabulations with weighted values? I'm using the BRFSS data set.
Hi. Thanks for this video. Posible po bang gamitin ang Pearson in correlating likert scale data? I have seen readings that do not recommend it and instead suggest using Spearman. However, I'm not really familiar sa Spearman and hindi siya available sa Excel. I already have SPSS but i am not sure how to do Spearman using it so I'm thinking na if kaya naman pala ng Pearson, I'll just push through with Pearson. Hoping you can respond. Thank you!
Hi Cherrie.. Some researchers use Pearson for Likert scale while others suggest Spearman. For as long as your decision is supported by literature, there is no problem with it.
Also, I have a video teaching you how to perform Spearman rank correlation using RStudio. You may check my channel for that video.
Sir what about you have 5 scale but 10 questions?
You make a very solid and informed argument. Thanks for settling the case for me, am now able to revise my report based on this. Many thanks.
Glad it was helpful!
Good day po, sana mapansin niyo po itong comment ko.. ano po ang dapat gamitin namin sa statistical treatment po? SOP po namin ( suggest po ng prof namin ito) 1. How may the respondents describe in terms of: 1.1 SEx 1.2 Year level, and 1.3. Strand? 2. What are the factors that affect the students' performance online class? 3. Is there a significant difference on the factors affecting the academic performance of the students in online class when they are grouped according to profile? Our title po is " Factor affecting senior high school students' academic performance during online class" Hypothesis po namin is - Null Sana po mapansin. salamat po.
Good day po, sana mapansin niyo po itong comment ko.. ano po ang dapat gamitin namin sa statistical treatment po? SOP po namin ( suggest po ng prof namin ito) 1. How may the respondents describe in terms of: 1.1 SEx 1.2 Year level, and 1.3. Strand? 2. What are the factors that affect the students' performance online class? 3. Is there a significant difference on the factors affecting the academic performance of the students in online class when they are grouped according to profile? Our title po is " Factor affecting senior high school students' academic performance during online class" Hypothesis po namin is - Null Sana po mapansin. salamat po.
Hi Jah.. You may want to consider Frequency and Percentage for SOP1. For SOP2, how are you planning to answer this? Do you have identified possible factors that may affect students' performance? If so, you may want to check regression analysis (multiple linear regression) for this. For SOP3, this is not clear to me also. What are the possible factors that you are considering?
@@raffycee6403 hi sir! I have a similar question din po sana regarding what statistical treatment we should use in our research. Eto po yung sop namin 1. What is the demographic profile of the respondents in terms of: 1.1 Age 1.2 Gender 1.3 Strand 2. What is the perceived level of stress in online distance learning among the respondents in terms of: 2.1 Teacher-related Factors 2.2 Home-related Factors 2.3 Student-related Factors 3. What are the coping mechanisms of the respondents in online distance learning? 4. Is there a significant difference between the perceived level of stress in online distance learning among the respondents when they are grouped according to profile? 5. Is there a significant difference between the coping mechanisms of the respondents in online distance learning when they are grouped according to profile? Thank you po!
install.packages("dplyr") library(dplyr) data2 <- read.csv(file.choose(), header=TRUE) data2 %>% group_by(Sex) %>% dplyr::summarize(Mean = mean(Activities), SD = sd(Activities)) data2 %>% group_by(Course) %>% dplyr::summarize(Mean = mean(Activities), SD = sd(Activities)) data2 %>% group_by(Sex) %>% dplyr::summarize(Mean = mean(Attitudes), SD = sd(Attitudes)) data2 %>% group_by(Sex) %>% dplyr::summarize(Median = median(Activities), IQR = IQR(Activities)) data2 %>% group_by(Sex, Course) %>% dplyr::summarize(Mean = mean(Activities), SD = sd(Activities)) data2 %>% group_by(Sex, Course) %>% dplyr::summarize(Mean = mean(Attitudes), SD = sd(Attitudes))
data2 <- read.csv(file.choose(), header=TRUE) mean(data2$Activities) sd(data2$Activities) mean(data2$Attitudes) sd(data2$Attitudes) median(data2$Activities) IQR(data2$Activities) median(data2$Attitudes) IQR(data2$Attitudes)
data1 <- read.csv(file.choose(), header=TRUE) barplot(table(data1$Sex), main='Sex of Respondents', xlab='Sex', ylab='Frequency', col='blue') barplot(table(data1$Age), main='Age of Respondents', xlab='Age Groups', ylab='Frequency', col='blue') pie(table(data1$Sex), main='Sex of Respondents') pie(table(data1$Age), main='Age of Respondents') hist(data1$Proactiveness, breaks=7, main='Proactiveness of Respondents', xlab='Score', ylab='Frequency') hist(data1$Innovativeness, breaks=5, main='Innovativeness of Respondents', xlab='Score', ylab='Frequency') plot(data1$Proactiveness, data1$Innovativeness, main='Proactiveness and Innovativeness Scatterplot', xlab='Proactiveness', ylab='Innovativeness') plot(data1$Risk.Taking, data1$Opportunity.Evaluation, main='Risk Taking and Opportunity Scatterplot', xlab='Risk Taking', ylab='Opportunity')
Thank u for this Is there a way to automatically split tables based on size of boxes in a presentation? I am using officer package with customised layout
keep on your great job!!!
data1 <- read.csv(file.choose(), header=TRUE)