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Odc 53 Revenue, profit, income
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Terms in this set (23)
przychód firmy (inaczej top line)
revenue
rachunku zysków i strat
(financial) income statement
zysk brutto
gross profit
dochód, zysk
Profit
zysk netto (inaczej bottom line, net income)
net profit
Żadnych reklam, żadnych przychodów.
No commercials, no revenue.
Nasz dział telewizji kablowej odpowiada za mniej niż 3% rocznych przychodów AWM.
Our cable news division accounts for less than 3% of AWM's annual revenue.
Dodałem serię markowych towarów, aby zmaksymalizować nasze przychody.
I added a selection of branded merchandise to maximise our revenue.
Jedynym powodem, dla którego ktokolwiek by to zrobił, jest... zysk!
The only reason anyone would ever do that is...profit!
To 10 000 dolarów zysku.
It's a $10,000 profit.
Zysk netto dla mnie, minus 59 dolarów.
Net profit to me, negative $59.
Nasz dochód netto wzrósł o 14%.
Our net income is up 14%.
Nasz budżet opiera się na gospodarstwie domowym o dwóch dochodach.
Our budget is based on a two-income household.
Pod koniec tego roku zgłosiłam dochód w wysokości 4 773 000 dolarów.
At the end of that year I reported an income of $4,773,000.
W zeszłym miesiącu nie mieliśmy żadnych dochodów.
Last month we had no revenue.
Dodaliśmy nowy produkt, aby zmaksymalizować nasze dochody
We added a new product to maximise our revenue.
Roczne przychody naszej firmy to 1 mln złotych.
Annual revenue of our company is 1mln zlotys.
Rachunek zysków i start pokazuje 5 tysięcy zysku brutto.
The income statement shows gross profit of 5 k.
Zysk netto to nie to samo co zysk brutto
Net profit is not the same as gross profit.
Podzielimy się zyskiem 50-50.
We'll divide the profit fifty-fifty.
Jaki jest roczny dochód gospodarstwa domowego w Polsce?
What's the yearly income per household in Poland?
Pracodawca płaci podatek dochodowy za Ciebie.
The employer pays income tax for you.
Pod koniec zeszłego roku zgłosiłem dochód w wysokości 500 tysięcy
At the end of the last year I reported an income of 500 k
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During $2016$ a company implemented a number of policies aimed at reducing the ages of its customers’ accounts. In order to assess the effectiveness of these measures, the company randomly selects $10$ customer accounts. The average age of each account is determined for the years $2015$ and $2016.$ These data are given in Table $10.4$. Assuming that the population of paired differences between the average ages in $2016$ and $2015$ is normally distributed: Table $10.4$ $$ \begin{array}{llll} \text{Account} & \text{Average Age of Account in}\ 2016 (\text{Days}) & \text{Average Age of Account in}\ 2015 (\text{Days})\\ 1 &27 &35\\ 2 &19 &24\\ 3 &40 &47\\ 4 &30 &28\\ 5 &33 &41\\ 6 &25 &33\\ 7 &31 &35\\ 8 &29 &51\\ 9 &15 &18\\ 10 &21 &28 \end{array} $$ Figure $10.10$ gives the $p$-value for testing the hypotheses of part $a$. Use the $p$-value to test these hypotheses by setting $\alpha$ equal to $.10$, $.05$, $.01$, and $.001$. How much evidence is there that the mean average account age has been reduced? **Figure $10.10$ Excel Output of a Paired Difference Analysis of the Account Age Data** **t-Test: Paired Two Sample for Means** $$ \begin{array}{lrr} & 2016 \text { Age } & 2015 \text { Age } \\ \text { Mean } & 27 & 34 \\ \text { Variance } & 53.55556 & 104.2222 \\ \text { Observations } & 10 & 10 \\ \text { Pearson Correlation } & 0.804586 & \\ \text { Hypothesized Mean } & 0 & \\ \text { df } & 9 & \\ \text { t Stat } & -3.61211 & \\ \text{ P(T<=t) one-tail } & 0.00282 & \\ \text { t Critical one-tail } & 1.833114 \\ \text{ P(T<=t) Two-tail } & 0.005641 \\ \text { t Critical two-tail } & 2.262159 \end{array} $$
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