It is a sinusoidal graph, which oscilates around the x-axis (y=0), from y = -0.5 to y = 0.5
General description (as reference)
It passes through the origin (0,0), increases until the max value (y = 0.5) when x = π6, then start to decrease, crosses the x-axis x = π/3, continues decreasing until the min value (y = -0.5) when x = 2π/3, then it starts to increase, crossing the x-axis again at x = 2π/3, and the pattern repeats indefinetely to the right of x = 2π/3 and to the left of x = 0.
Specific description:
Amplitud: 0.5----> the coefficient in front of the sine function
Period: 2π/3 ----> 2π divided by the coefficient in front of the argument (3)
Points of intersection with the x-axis: 0 + /- nπ/3, with n = 0,1,2,3,.....
Type of function: odd
Maximun value: 1/2
Minimum value: -1/2
Answer:
y=1/2*(x-4)^2+13
Step-by-step explanation:
multiply the x and y coordinates in P and Tand equate it the right hand side x and y coordinates respectively.
Answer:
The suitable results are:
Option A: The alternative hypothesis could really be true but because the sample size is small, the power is very low so the researchers are likely to run an experiment whose results lead them to make a type II error.
Option D: Inasmuch there is no statistical evidence to accept the null hypothesis. The null hypothesis could be true and there is no difference between the new and standard treatments survival rate.
Explanation:
Below are the options suitable for results:
Option A: The alternative hypothesis could really be true but because the sample size is small, the power is very low so the researchers are likely to run an experiment whose results lead them to make a type II error - Reason been that, as the sample size increase, so also does the power of the test increase. Therefore, because the power is too small, the researchers are likely to commit type 2 error.
Option D: Inasmuch there is no statistical evidence to accept the null hypothesis. The null hypothesis could be true and there is no difference between the new and standard treatments survival rate.
