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Samenvatting Formuleblad Data-analyse & Risicomanagement (DAR) $7.51
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Samenvatting Formuleblad Data-analyse & Risicomanagement (DAR)

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Dit formuleblad bevat alle formules die benodigd zijn voor het tentamen Data-analyse & Risicomanagement (DAR). Alle formules uit het boek ''Statistiek in 20 stappen'' zijn op dit formuleblad opgenomen. Ik raad het formuleblad aan voor studenten die het vak Data-analyse & Risicomanagement (DAR) last...

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  • June 30, 2022
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  • 2021/2022
  • Summary

3  reviews

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By: jolienpronk • 6 months ago

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By: AccountancyStudent • 6 months ago

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Too bad Jolien didn't like the formula sheet. Could you send me a message you didn't like about the formula sheet? Thank you! :)

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By: nielsjdevries • 1 year ago

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By: AccountancyStudent • 1 year ago

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Thanks for your review Niels! If you want to share improvements, feel free to send me a message.

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By: mikesmit1 • 1 year ago

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By: AccountancyStudent • 1 year ago

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Thanks again Mike!

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Formuleblad Data-analyse &
Risicomanagement (DAR)
B-Accountancy

Collegejaar: 2021-2022

,Inhoudsopgave
Centrummaten .................................................................................................................................... 3
Spreidingsmaten.................................................................................................................................. 3
Maatstaven voor Frequentieverdelingen............................................................................................ 3
Kansberekeningen (symbool P (probability) ....................................................................................... 3
Kansvariabelen .................................................................................................................................... 4
De normale verdeling (continue variabelen, oneindig aantal uitkomsten) ........................................ 4
De binomiale verdeling (discrete variabelen, beperkt aantal uitkomsten) ........................................ 4
Steekproeven ...................................................................................................................................... 5
Hypothese ........................................................................................................................................... 5
De t-verdeling (als σ onbekend is) ....................................................................................................... 5
Associatie (alleen met nominale en ordinale data)............................................................................. 5
De regressielijn .................................................................................................................................... 6
Correlatie ............................................................................................................................................. 6
Prijsindexcijfers ................................................................................................................................... 6
Voorspellen met tijdsreeksen ............................................................................................................. 7

, Centrummaten
∑ 𝑥𝑖
̅): 𝑥̅ =
Rekenkundig gemiddelde (𝒙 – Excel: =AVERAGE
𝑛

Modus: meest voorkomende getal uit de reeks – Excel: =MODE

Mediaan (Xme): middelste waarde van een reeks – Excel: =MEDIAN

Excel: Data Analysis → Descriptive Statistics → Summary Statistics = Volledig Overzicht



Spreidingsmaten
Variatiebreedte (range): verschil tussen hoogste en laagste waarde – Excel: =MIN en =MAX
𝛴(𝑥𝑖 −𝑥̅ )2
Variantie (s2): 𝑠 2 = – Excel: =VAR.S
𝑛−1

Standaarddeviatie (S): afwijking van het gemiddelde: S= √𝑠 2 – Excel: =STDEV.S
Excel: Data Analysis → Descriptive Statistics → Summary Statistics = Volledig Overzicht



Maatstaven voor Frequentieverdelingen
𝐵𝑜𝑣𝑒𝑛𝑔𝑟𝑒𝑛𝑠−𝑂𝑛𝑑𝑒𝑟𝑔𝑟𝑒𝑛𝑠
Klassenmiddens (mi): – Let op: < of > of =< of =>
2
∑ 𝑚𝑘 ∗ 𝑓𝑘
̅): 𝑥̅ =
Rekenkundig gemiddelde (𝒙 𝑛

Modale klasse: de klasse met de hoogste frequentie
𝑏
Mediaan (Xme): de middelste waarneming van de mediale klasse: Xme =L+(r-0,5)𝑓

Klassengrens (range): verschil tussen hoogste en laagste waarde
𝛴 𝑓𝑖(𝑚𝑖 −𝑥̅ )2
Variantie (s2): 𝑠 2 = 𝑛−1

Standaarddeviatie (S): afwijking van het gemiddelde: S= √𝑠 2



Kansberekeningen (symbool P (probability)
Kans op beide variabelen, maar niet tegelijk (onafhankelijk): P(A ∩ B) = P(A) * P(B)
Kans op beide variabelen, ook tegelijk (afhankelijk): P(A en B) = P(A) + P(B) – P(A of B)
Kans gebeurt wel of kans gebeurt niet: P(niet A) = 1-P(A)
𝑎𝑎𝑛𝑡𝑎𝑙 𝑔𝑢𝑛𝑠𝑡𝑖𝑔𝑒 𝑔𝑒𝑣𝑎𝑙𝑙𝑒𝑛
Definitie van Laplace: P(A) = 𝑡𝑜𝑡𝑎𝑎𝑙 𝑎𝑎𝑛𝑡𝑎𝑙 𝑔𝑒𝑣𝑎𝑙𝑙𝑒𝑛

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