Description
Special course
Statistics for Research
- Description
- Curriculum
- Announcement
- Reviews
Winners don’t do different things, they do things differently.
Training, quizzes, and practical steps you can follow – this is one of the most comprehensive Statisticscourses available. We’ll cover Probability, Advance concept of Inferential statistics, Hypothesis Testing, Correlation Analysis, Regression Analysis, Modelling, Ch- Squared Test, ANOVA, MANOVA, Business Forecasting, and many more. This will help one in his/her research projects to finish confidently.
What you’ll learn
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Statistics applied in research and data analysis projects with practical problems, and examples.
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If you are in corporate, learn the tricks and gain the knowledge to outperform
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Research scholars want to build a strong base in statistics.
Requirements
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Nil
You’ll Also Get:
- – Downloadable workout Notes for competitive exams and future reference purpose
- – Fast & Friendly Support in the Q&A section
- – If you are a student or preparing for the competitive exam you may opt for education notes/ handouts
- – Certificate of Completion Ready for Download
Who this course is for:
- Research scholars, University students
Important Notes:
- This course is under ‘special’ course category hence neither included in membership plan, nor covered under the 15 days money back guarantee assurance.
From the Instructor’s Desk:
We live in a technology world so we need someone to teach even technology. This shows the importance of the teacher in everyone’s life. Do you want yourself to be in the screens of young blooming minds throughout the world? Yes, now it is a good space to show-off yourself. This course will help you in exploring your skills to the world and excel yourself as the best student. You will be developing Self-development skills with lifelong learning and building a community. Flexibility in using different resources in this platform may increase the enthusiasm of students. This course also will always help you in keeping you connected with the instructor at any time.
Course materials
Descriptions & Measurement Scales
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1
Know Your Instructor -
2
Concept of statistical description of data
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3
Application of Data
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4
Categorical and Continuous data_ Nominal, Categorical, Interval & Ration Scales
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5
Variance & Bessel's Correction
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6
Fence_Wiskers_Inter Quartile Range_Outliers
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7
Covariance
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8
Population vs Sample mean
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9
Stem & Leaf display
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10
Valid & Reliable Data
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11
Questionnaire Building
Visualisation of Data
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12
Simple and Multiple line chart
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13
Different types of Bar Diagrams
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14
Video explanation: Application of Bar charts
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15
Pie Chart
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16
Tabulation and its guidelines
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17
The Secret Locker & Key problem
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18
Concept of Frequency Distribution
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19
Important terms related to Frequency Distribution
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20
Graphical representation of Frequency Distribution, and HISTOGRAM
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21
Calculation of MODE from Histogram
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22
Frequency Polygon
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23
Ogives & Calculation of Median
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24
Ogives (continued)
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25
Types of Frequency curves
Dispersions
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26
Measurement of Dispersions
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27
Range & coefficient of Range
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28
Quartile Deviation & coefficient of Q.D
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29
Calculating QD for open ended C.I when cumulative frequency is given
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30
concept of Mean Deviations & coefficients of M.D
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31
Calculating M.D & Coefficient of M.D
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32
Standard Deviation
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33
Standard Deviation explained with animation
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34
Composite standard deviation
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35
Coefficient of variance
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36
Are you a selector of your national cricket team? Batsman Problem
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37
CV- missing frequency problem
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38
calculating correct mean & SD from Wrong mean & wrong S.D
Calculation of Population mean & Population Standard Deviation
Correlation Analysis
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41
Concept of Correlation Analysis
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42
Concept of Correlation Analysis
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43
Scattered Diagram
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44
Karl Pearson's Correlation coefficient
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45
Karl Pearson’s solved problem-1
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46
Karl Pearson’s solved problem-2
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47
Covariance & KP correlation coefficient
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48
Spearman's rank Correlation Coefficient
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49
Spearman's Correlation Solved problem
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50
Coefficient of Concurrent Deviation
Making Predictions through Regression Analysis
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51
Concept of types of Regression Analysis
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52
Linear Regression
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53
Minimum Least Square Method (MLSM)
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54
Calculating coefficients values
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55
Ascombe's Quartet
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56
Regression Equations- x on y & y on x
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57
Solved Problem-1
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58
Predicting mom's height based on daughter's height
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59
Solved problem-2
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60
Calculating correlation coefficient of POPULATION (Probable Error)
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61
Solved Problem of Probable Error
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62
Coefficient of Determination & Non- Determination
Probability Distribution
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63
Concept of Data Distribution
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64
Uniform Distribution
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65
Binomial Distribution
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66
Application of Binomial Distribution
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67
Poison Distribution
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68
Application of Poison Distribution
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69
Poisson Distribution: Partial Interval
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70
Normal Distribution,Standard Normal Distribution & formulae
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71
Normal Distribution & Standard Normal Distribution
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72
Z-Score & solving Business problems
Hypothesis Testing
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73
Concept of Hypothesis Testing
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74
Burden of proof
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75
Standard Error
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76
Why do we need Hypothesis testing?
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77
Difference between Std Error & std Deviation
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78
Type1 & Type 2 errors
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79
Forming Hypothesis Correctly
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80
Examples- Forming Null & Alternate Hypothesis
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81
Lower, Upper & 2 tailed Test
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82
How to prove Hypothesis
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83
What if researchers set 0% error?
Chi Squared Test: Non Parametric Test
ANOVA & MANOVA: Parametric Test
Course end exam: Statistics for Research
Dear Student,I am excited to see you joining this course. I’m Sumit and I made this course absolutely in the home environment, and absolutely without the help of any professional types of equipment help. For better audio experience, do not forget to increase the laptop system audio volume, and also increase on-screen sound volume during the video play. In fact, I always suggest my students use headphones/earphones for better concentration and sound experience. Take time, learn good, and become an expert. If you have any questions, feel free to post a message and I’ll respond at the earliest.IMPORTANT: - Your review matters. Please make sure your review is accurate and update it as you go along.- If you think this isn’t a 5-star course, please let me know and I’ll try to improve it. I want the best possible experience for you, so message me with any issues.Thank you!
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Course details
Duration
09 Hours 30 Mins
Lectures
98
Video
08 Hours 30 Mins
Quizzes
1
Level
Doctorate
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