Step-by-step explanation:
Seven lakh and seventy thousand.
This is your answer.
Answer:
220 automóviles
Step-by-step explanation:
Aquí, queremos saber la cantidad de autos que ingresarán al garaje cuando esté completamente ocupado.
De la pregunta, nos dicen que hay 3 pisos. Para el 1er piso, hay 5 filas de 20 lugares.
El número total de autos que pueden estar en esto será 5 * 20 = 100 autos.
Para el segundo y tercer piso, tenemos 4 filas de 15 cada una.
El número total de autos aquí será 2 (15 * 4) = 2 * 60 = 120 autos
El número total de automóviles cuando está completamente ocupado es, por tanto, = 100 + 120 = 220 automóviles
Answer:
$454.5
Step-by-step explanation:
Current balance: -$25.50
Initial deposit: $120
Total deposit: $120 * 4 months = $480
Total balance: -$25.50 + $480 = $454.50
Answer:

If we divide both sides by
we got:

And we can use the normal distribution table or excel to find the probabilites and we got:
Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the area of a population, and for this case we know the distribution for X is given by:
Where
and 
We select a a sample of n =4 and since the distribution for X is normal then we know that the distribution for the sample mean
is given by:

And we want to find this probability:

If we divide both sides by
we got:

And we can use the normal distribution table or excel to find the probabilites and we got:

Answer:
(3,5)
Step-by-step explanation: