Answer:
i think it is x= -4/3
Step-by-step explanation:
maybe
Answer:
x = -12
Step-by-step explanation:
4/3x + 12 = - 4 (multiply 3 both side)
4x + 36 = - 12 (minus 36 both side)
4x + 0 = -12
4x = -12 - 36
4x = - 48 (divide both side)
4x ÷ 4 = x
-48 ÷ 4 = -12
Answer: x = -12
Answer:
Tarea:
Ana compró una cartera cuyo precio es x dólares con el 10% de descuento y un perfume con precio original en dólares con un descuento del 15%. ¿Cuánto gastó Ana en total?
- Solución:
El precio estará en lenguaje algebraico, ya que no nos dan el dato de cuánto costó cada artículo.
• Hallamos el precio de la cartera con el descuento:
El precio original es x, entonces:
Regla de tres:
100 % --------> x
10 % -----------> ?
10 . x : 100 = ?
10x/100 = ?
El 10% del precio de la cartera es 10x/100.
Entonces el precio de la cartera es (x-10x/100).
• Hallamos el precio del perfume con el descuento:
El precio original es y, entonces:
Regla de tres:
100% -------> y
15 % --------> ?
15.y/100
El 15% del perfume es 15y/100.
Entonces el precio del perfume con el descuento es (y-15y/100).
Entonces lo que gastó en total es:
(x - 10x/100) + (y - 15y/100)
Step-by-step explanation:
pls give me brainless
Answer:
I suppose you mean 999^2
(1000-1)^2
which comes under the identity
(a-b)^2=
(a^2 + b^2 - 2ab)
hope this helps
Answer:
C. The degree of dependence among the observation is negligible.
Step-by-step explanation:
The conditions for performing a t-procedure when constructing a t-interval are;
1) The samples observation should be independent of each other
2) The use of a random sample or experiment for the procedure
3) Ensure the normality of the data of the dependent variable
Given that surveys usually involve sampling without replacement from a population which is finite can not be taken as independent Bernoulli trials however, it is allowable to still consider samples independent when they are less than 10% the size of population
Therefore, the reason for the condition is to ensure that the population to sample size ratio is large enough and that the degree of dependence among the observation is negligible.
