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Hi
Thank you for showing your interest on Shine, your profile has been shortlisted for below profile, if you are comfortable as per below job description and our requirements you can apply with you updated CV
We are in the process of hiring online tutors for our US based client. Where in you are required to take chat-based sessions with US students up to Graduation level.
Profile – “Online tutoring -Statistics”
- Mode: Work from Home
- Subject: Statistics
- WorkTimings: 11:30 PM to 7.30 AM 5 days a week (Monday Friday)
(You can choose your own flexible working hours between this time frame, Minimum 4 hours and Maximum 8 hours)
Job Description
- Online tutoring High Grade (Graduation/Post Graduation) US Students
- This process is chat based.
Essential Competencies
- Excellent subject knowledge.
- Ability to communicate scientific and subjective concepts clearly in English.
- Basic computer operating skills.
- Hands on experience in surfing the Internet, using search tools like Google etc.
- Typing speed 25-40 word/mins.
Topic Covered:- Statistics
Math-Statistics
Introduction to statistics
Population vs Sample
Statistic vs Parameter
Type of variables
Cross section vs time series data
Organizing and Graphing data.
Organizing and graphing qualitative data
Organizing and graphing quantitative data
Shapes of histogram
Cumulative frequency distribution
Stem and leaf display
Dotplots
Numerical Descriptive measures
Measure of central tendency for ungrouped and grouped data.
Measure of dispersion for ungrouped and grouped data.
Other measures of position.
Box and Whisker plot
Probability
Experiment, outcomes and sample space.
Classical probability rule and calculating probability for event.
Counting rule
Addition and multiplication rule of probability.
Marginal and conditional probability
Mutually exclusive, Dependent and independent events
Complementary events
Discrete random variable and their probability distribution.
Mean and standard deviation of discrete random variable.
Factorial, Combination and Permutation.
Binomial distribution, Geometric distribution, Hypergeometric distribution and Poisson distribution.
Continuous random variable and Normal distribution
Standard normal distribution
Determining the z and x value when area under the curve is known.
Normal approximation to Binomial, Poisson etc.
Sampling distribution
Sampling and non-sampling error
Sampling distribution of sample mean (xbar)
Sampling distribution of sample proportion(p-hat)
Inferential statistics.
Hypothesis testing
Z test , t test, F test, for one and two sample.
Confidence interval for one sample and two sample.
Send CV [email protected]
This job is provided by Shine.com