Answer:
3x³ - 14x² - 7x + d = (x + 1)(ax² + bx + c)
--------------------------
(x + 1)(ax² + bx + c)
= ax³ + bx² + cx + ax² + bx + c
= ax³ + (a + b)x² + (b + c)x + c
--------------------------
ax³ + (a + b)x² + (b + c)x + c = 3x³ - 14x² - 7x + d
=> a = 3
a + b = -14
b + c = -7
c = d
=> a = 3, b = -17, c = 10, d = 10
Help me please :)
Answer:
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Step-by-step explanation:
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Phone Battery Life
A 20
B 25
C 10
D 18
If 7.75% of the battery life of each mobile phone is used in a day by a typical user, for which mobile phone is 0.775 hour of battery life used in a day?
Phone A
Phone B
Phone C
Phone D
Answer:
Probably phone C
Step-by-step explanation:
Answer:
1. B
2. D
hope this helped
Answer: y = 5/2 x + 8
Step-by-step explanation:
Find m using two points (-2,3) and (0,8) = 8-(3) / 0- (-2) = 5/2
y = 5/2 x + b
8 = 5/2 (0) + b
8 = b
y = 5/2 x + 8
Answer:
If the sales 2 years ago were x, the sales last year were 1.12x and this year's sales were 1.12 * (1.12x). We can write 1.12 * (1.12x) = 81427 so that means x = $64913.
Dunkin' Donuts' sales 2 years ago were approximately $64,913.
In order to find Dunkin' Donuts' sales 2 years ago, we can use the information provided that their sales have increased by 12% per year for the last 2 years. Let's denote their sales 2 years ago as x. Then, their sales 1 year ago would be x increased by 12%: (x + 0.12x) = 1.12x. And their sales this year would be 1.12x increased by 12%: (1.12x + 0.12(1.12x)) = 81,427.
Simplifying the equation:
Therefore, Dunkin' Donuts' sales 2 years ago were approximately $64,911.
The standard error is calculated as the standard deviation divided by the square root of the sample size. For a population with a standard deviation of 6 and a sample size of 50, the standard error is 6 / sqrt(50).
The standard error can be defined as the standard deviation divided by the square root of the number of samples. It helps to estimate the variability in the population. In this case, the mean is 64, the standard deviation is 6, and the sample size is 50. The equation to calculate the standard error is:
Plugging in the values given in the question, we get:
. After performing the division, you will get the standard error of the mean which tells you how far your sample mean could be from the true population mean.
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