Factor the following polynomial completely. -x^2y^2 + x^4 + 9y^2 - 9x^2
1 answer:
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Answer:
Se obtuvo $ 448 de ganancia por la venta de donas.
Se obtuvo $ 280 de ganancia por la venta de bolillos.
Step-by-step explanation:
1) <em>¿Cuanta ganancia se obtuvo en la venta de donas?</em>
La ganancia es el producto del porcentaje producido de donas, expresado como razón, el precio unitario de la dona y el total producido de panes. Es decir:
Se obtuvo $ 448 de ganancia por la venta de donas.
2) <em>¿Cuanta ganancia se obtuvo en la venta de bolillos?</em>
La ganancia es el producto del porcentaje producido de bolillos, expresado como razón, el precio unitario del bolillo y el total producido de panes. Es decir:
Se obtuvo $ 280 de ganancia por la venta de bolillos.
Answer:
Yes
Step-by-step explanation:
As long as the slopes of these two lines are not the same, they will intersect.
Given two points on a line, we can find the slope by taking the difference in the y coordinates and dividing it by the difference in the x coordinates.
Slope of 1st line:
Slope of 2nd line:
The slopes are not equal, therefore the lines intersect.
Answer:
Critical value: T = 1.8331
The 90% confidence interval for the population mean iron concentration is between 0.561 cc/m³ and 0.861 cc/m³
Step-by-step explanation:
We have the standard deviation for the sample. So we use the t-distribution to solve this question.
The first step to solve this problem is finding how many degrees of freedom, we have. This is the sample size subtracted by 1. So
df = 10 - 1 = 9
90% confidence interval
Now, we have to find a value of T, which is found looking at the t table, with 9 degrees of freedom(y-axis) and a confidence level of . So we have T = 1.8331, which is the critical value.
The margin of error is:
M = T*s = 1.8331*0.0816 = 0.15
In which s is the standard deviation of the sample.
The lower end of the interval is the sample mean subtracted by M. So it is 0.711 - 0.15 = 0.561 cc/m³
The upper end of the interval is the sample mean added to M. So it is 0.711 + 0.15 = 0.861 cc/m³
The 90% confidence interval for the population mean iron concentration is between 0.561 cc/m³ and 0.861 cc/m³