- Видео 48
- Просмотров 106 255
Dr. Rosha
Индия
Добавлен 27 мар 2011
Research Methodology / Business Statistics / Quantitive Techniques / Operations Research / Mathematics / Marketing Research
ANOVA I Tukey HSD I Normality I Homogeneity I SPSS
One-way ANOVA (ANalysis Of VAriance) with post-hoc Tukey HSD (Honestly Significant Difference), Normality test, Homogeneity test
Просмотров: 953
Видео
Factor Analysis I SPSS I Practical Example I English Subtitles
Просмотров 1,4 тыс.3 года назад
Factor Analysis I SPSS I Practical Example I English Subtitles
t - test I SPSS I two independent samples I hypothesis testing
Просмотров 8163 года назад
compares the means of two independent groups by using SPSS & Pen Paper
t - test I SPSS I hypothesis about the population mean
Просмотров 1,1 тыс.3 года назад
practical example solved by using pen paper & SPSS
Wald Wolfowitz Runs Test I Non Parametric Test I Randomness Hypothesis
Просмотров 9 тыс.3 года назад
non-parametric statistical test that checks a randomness hypothesis for a given sample
ANOVA I Kruskal Wallis H test I Hypothesis Testing
Просмотров 3403 года назад
Hypothesis testing by non parametric Kruskal Wallis test & parametric ANOVA test , Kruskal Wallis test is the non parametric alternative to the One Way ANOVA
T - Test I Mann Whitney U - Test I Independent Samples Test I Hypothesis Testing
Просмотров 7023 года назад
Hypothesis Testing By Parametric "T - Test" & Non Parametric "Mann Whitney U - Test" for Independent Samples
T - Test I Wilcoxon's Signed - Rank Test I Hypothesis Testing I Paired Samples Test
Просмотров 7323 года назад
Hypothesis Testing for Paired Samples by Parametric T - Test & Non Parametric Wilcoxon's Signed - Rank Test
Shortcut Trick | how to solve simultaneous linear equations
Просмотров 1203 года назад
case -1) transpose & apply, case -2) if coefficients of "x" & independent terms are in same ratio, case -3) if coefficients of "y" & independent terms are in same ratio, case -4) if "x" coefficients & "y" coefficients are found interchanged.
log table | how to find log & antilog by using table | how to find antilog of a negative number.
Просмотров 1763 года назад
how to find log, log 15.27, log 1234, log 123.4, log 12.34, log 1.234, log 0.1234, log 0.01234, log 0.001234, how to find antilog of a positive number, antilog 2.6452, antilog 6.2694, antilog 26.521, antilog 56.23, how to find antilog of a negative number, antilog -8.791, antilog -2.1202, antilog -0.9812,
Grouped Data,Bivariate Data: Mean,Regression Lines,Regression Coefficients,Correlation Coefficient.
Просмотров 4423 года назад
From Grouped Data ,Bivariate data, Two-Way Frequency Table: Find 1) Mean of X, 2) Mean of Y, 3) Regression Coefficient of X on Y, 4) Regression Coefficient of Y on X, 5) Regression Equation X on Y, 6) Regression Equation Y on X, 7) Correlation Coefficient from Regression Coefficients, 8) Karl Pearson's Coefficient of Correlation.
Interpolation I Newton's Gauss Forward Method I Newton's Gauss Backward Method
Просмотров 1633 года назад
Interpolation I Newton's Gauss Forward Method I Newton's Gauss Backward Method
Time Series I Seasonal Variations by Ratio to Trend Method I Link Relatives Method
Просмотров 13 тыс.3 года назад
Time Series I Seasonal Variations by Ratio to Trend Method I Link Relatives Method
Time Series: Seasonal Variations by Method of Simple Averages,Moving Average,Ratio to Moving Average
Просмотров 21 тыс.3 года назад
Time Series: Seasonal Variations by Method of Simple Averages,Moving Average,Ratio to Moving Average
Time Series Analysis: Trend By Semi Average Method, Moving Average Method, Least Square Method
Просмотров 49 тыс.3 года назад
Time Series Analysis: Trend By Semi Average Method, Moving Average Method, Least Square Method
Interpolation I Newton's Method Of Divided Differences I Lagrange's Method
Просмотров 1553 года назад
Interpolation I Newton's Method Of Divided Differences I Lagrange's Method
Interpolation & Extrapolation: Newton's Forward/Backward Differences Method
Просмотров 1243 года назад
Interpolation & Extrapolation: Newton's Forward/Backward Differences Method
Interpolation & Extrapolation I Binomial Expansion Method
Просмотров 3383 года назад
Interpolation & Extrapolation I Binomial Expansion Method
Index Numbers I Time Reversal Test I Factor Reversal Test I Circular Test
Просмотров 4,3 тыс.3 года назад
Index Numbers I Time Reversal Test I Factor Reversal Test I Circular Test
Price Index No. by Kelly's,Walsch's,Laspeyre's,Paasche's,Fisher's,Dorbish-Bowleys,Marshall-Edgeworth
Просмотров 5853 года назад
Price Index No. by Kelly's,Walsch's,Laspeyre's,Paasche's,Fisher's,Dorbish-Bowleys,Marshall-Edgeworth
Price Index Number I Simple Aggregative Method I Simple Average Of Price Relative Method
Просмотров 5193 года назад
Price Index Number I Simple Aggregative Method I Simple Average Of Price Relative Method
Quartiles, Interquartile Range, Quartile Deviation, Coefficient Of Quartile Deviation
Просмотров 4753 года назад
Quartiles, Interquartile Range, Quartile Deviation, Coefficient Of Quartile Deviation
Regression Equations I Regression Lines
Просмотров 693 года назад
Regression Equations I Regression Lines
Regression Equations I Least Square Method
Просмотров 653 года назад
Regression Equations I Least Square Method
Correlation I Spearman's Rank Coefficient I equal ranks
Просмотров 533 года назад
Correlation I Spearman's Rank Coefficient I equal ranks
Thank you.
16:48
Are you sure you put the correct value of summation X in the equation #1??
Good afternoon sir...how can we forecast in even trends for next future yrs!
Jazakallha😊💙
Easy learning Superb explanation Thank you so much ✨️
I have an exam tommorow and i think im very lucky that i landed on your vedio, the only vedio to watch for time analysis
Same here😊
Tq 😊
Thank you so much for this video sir
Good sir tqs so much sir🎉
Thank you sir, I appreciate it very much, now I can read properly thanks to you 🙏🤌
Trend values btai he nahi srf moving average aur moving total btata ja raha 😡
btai to hain 😠😠😠😠
Kya batmizi h ye
Thank you so much sir
Thanks mahn♥️.... you've saved me
Professor I have 15 years temperature data upto 36 km, so how can I remove seasonality from time series data amnd how can I determine temperaure trend by using multiple linear regression? Thank you
I have 15 years temperature data upto 36 km, how can I determine the trend of these temperature data by using multiple linear regression?
Sir discription lo videos pettandi
what is the name of the pen you use ??? kindly say I liked the grip of it ?
Language use in hindi
Sir 1 mistake he in least square method. Apne total of y ka value equation 1 me put kia he jisme only total x ka value put karne lia he
have also seen that instead of 21 he used 60
Thanks sir, very helpful
Good explanation... 😇❣️
thank you so much
I will give you one problem please solve it ok
Hi
Thank u sir😊🙌🏻
Great 👍
Explanation is very good...understanding very easy
Thanks
Thanku so much
Very well explaining sir
Thanks
👍🏽👍🏽 Good keep it up
Least square method main even odd nhi hota?? Or base year given na ho to ??
Sir, what if we have 2 values that are the same number one after the other? how do we count the number of runs for that?
If I understand correctly you should put '0' over those equal values and not count that as a run.
Thank You soo much sir🙏🏻
Detailed information
On which type of data we can apply t test ?
The data has to follow a continuous or ordinal scale. The data has to be randomly selected. The data should be normally distributed
Sir its good the problem is that what are the conditions for t test to apply on data ? Because most difficult part is to know which test is apply on that data ?.
The data has to follow a continuous or ordinal scale. The data has to be randomly selected. The data should be normally distributed
Could you please share the dataset? ZiminAvdii1983@bk.ru
done 👍
One of the best video, to learn ANOVA and Kruskal Wallis test with an example. Thank u very much sir for this fantastic class.
Great👍
Superb
👍
👍👍
👌🏻👌🏻👌🏻👌🏻
👍
Nice bro
Nyc trick