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11 Inferential Statistics

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Indhold leveret af Gustavo Lujan. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Gustavo Lujan eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

We talk about the importance of inferential statistics in Data Science. Inferential statistics are a set of techniques used to make generalizations about a population from a sample. One of the tools used in inferential statistics is hypothesis testing. In this episode we provide a couple of examples on when and why to use 1-sample t-tests and 2-sample t-tests. We also argue that the mean or average of a sample means nothing if we do not also consider the variation of the data.

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20 episoder

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Arkiveret serie ("Inaktivt feed" status)

When? This feed was archived on August 01, 2022 22:32 (1+ y ago). Last successful fetch was on February 18, 2022 09:16 (2y ago)

Why? Inaktivt feed status. Vores servere kunne ikke hente et gyldigt podcast-feed i en længere periode.

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Manage episode 273121442 series 2796489
Indhold leveret af Gustavo Lujan. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Gustavo Lujan eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

We talk about the importance of inferential statistics in Data Science. Inferential statistics are a set of techniques used to make generalizations about a population from a sample. One of the tools used in inferential statistics is hypothesis testing. In this episode we provide a couple of examples on when and why to use 1-sample t-tests and 2-sample t-tests. We also argue that the mean or average of a sample means nothing if we do not also consider the variation of the data.

  continue reading

20 episoder

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