INFINITE HR SOLUTIONS Hiring for Online tutoring -Statistics – WFH at Delhi, Delhi, India

INFINITE HR SOLUTIONS


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.

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