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4. Statistics

Hypothesis: Formulating Hypothesis: Steps in hypothesis testing: Null and alternate hypothesis: Types of test: Left tail, Right tail, Two tail test Formulating Hypothesis: Z-test for mean: Z-test for mean1: Hypothesis testing: T-test vs Z-test: T-test: Z-test: Chi-square: Types of error:

3.Statistics

Sample statistics: We describe the sample which is subset of the entire population using sample statistics. The sample statistics usually characterize the sample and not the population. Sample statistics can broadly classified into two type – Standard deviation (SD) of… Continue Reading →

2.Statistics

Probability distributions: Case: People who don’t smoke live longer than people who smoke. random variable: Any variable which is subjected to chance and the behavior of random variable is governed by their probability distributions. On studying a small group of people… Continue Reading →

1.Statistics

Descriptive vs Inferential: Descriptive: everyday happenings such as accidents, prices of goods, business, incomes, epidemics, sports data, population data. Inferential: uses mathematical tools to make forecasts and projections by analyzing the given data Datatypes: Population and samples: Types of statistics:… Continue Reading →

NTA NET Qualification:

NTA-NET qualification Credentials: Google fundamentals about digital technology: Understanding Normalisation norms for selection of candidates: Raw scores obtained by the candidates Paper – 1(common) = 66/100 – [33 out of 50 Questions answered correct] Paper-2 (Education subject )= 108/200 –… Continue Reading →

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