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“10 MUST-KNOW STATISTICAL CONCEPTS FOR DATA SCIENTISTS”.

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Reading comprehension

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Colombia

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“10 MUST-KNOW STATISTICAL CONCEPTS FOR DATA SCIENTISTS”.
 

“10 MUST-KNOW STATISTICAL CONCEPTS FOR DATA SCIENTISTS”.Online version

Reading comprehension

by KATHERINE GISELLE
1

Statistical method modeling the relationship between dependent and independent variables using a linear equation.

Choose one or more answers

2

Various methods of selecting samples from a population, including Simple Random, Systematic, Convenience, Cluster, and Stratified sampling.

3

Statistical hypothesis tests using z-statistic for known population variance or t-statistic for unknown population variance and small sample sizes, respectively.

4

Statistical measure indicating the probability of achieving a result as extreme or more extreme than observed, given that the null hypothesis is true.

5

Statistical method predicting the probability of a binary outcome based on independent variables, utilizing a sigmoid function

6

Range of values around an estimated parameter, providing a degree of confidence that the true parameter lies within this range.

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