Answer:
The standard form is 8 y ⁵ - 17 y⁴ + 6 y³ +2 y² - 11
The degree of given polynomial is '5'
the co-efficient of y⁴ is '-17'
Step-by-step explanation:
Given standard form 2 y²+ 6 y³-11-17 y⁴+8 y⁵
<em>The form ax² + b x + c is called the standard form of the quadratic expression of 'x'.This is second degree standard form of polynomial.</em>
<em>The form ax⁵ + b x⁴ + c x³ +d x² +ex +f is called the standard form of the quadratic expression of 'x'.This is fifth degree standard form of polynomial</em>
now Given polynomial is 2 y²+ 6 y³-11-17 y⁴+8 y⁵
The standard form is
8 y ⁵ - 17 y⁴ + 6 y³ +2 y² - 11
<u><em>Conclusion</em></u>:-
<em>The degree of given polynomial is '5'</em>
<em>The co-efficient of y⁴ is '-17'</em>
<em> </em>
Answer:
your answer should be 6! :)
The fraction of the time given in a day is 1/288
Given the following parameters
- The minute that mile gave his buddy = 5minuts
We are to get the fraction of this time in a day.
Convert 1 day to minute
- 1 day = 24 hrs * 60 mins
- 1 day = 1440 minuts
Fraction = 5/1440
Fraction = 1/288
Hence the fraction of the time given in a day is 1/288
Learn more on fractions here: brainly.com/question/78672
Answer:
(C) reflection on y = -x
Step-by-step explanation:
There are vertices on the x-axis, the y-axis, and the line y=x (point Q(3, 3)), so reflection on any of those lines will result in a point being invariant. The only line of reflection among the choices given that does not contain a vertex of the figure is y = -x.
reflection on y = -x will give no invariant points
Answer:
A) The sampling distribution for a sample size n=50 has a mean of 18.5 weeks and a standard deviation of 0.849.
B) P = 0.7616
C) P = 0.4441
Step-by-step explanation:
We assume that for the population of all unemployed individuals the population mean length of unemployment is 18.5 weeks and that the population standard deviation is 6 weeks.
A) We take a sample of size n=50.
The mean of the sampling distribution is equal to the population mean:
The standard deviation of the sampling distribution is:
B) We have to calculate the probability that the sampling distribution gives a value between one week from the mean. That is between 17.5 and 19.5 weeks.
We can calculate this with the z-scores:
The probability it then:
C) For half a week (between 18 and 19 weeks), we recalculate the z-scores and the probabilities:
