C++ programming

NOTE:

-use C++

-don't use #include "graph.h"

-please follow all the specifications (except for 7)

-to check if the program is right refer to the values in the output. it should be exactly the same as the picture below.

Grading Criteria
	Utilized struct with working member functions.
	Passed values from argument to parameter.
	XY coordinates were organized in tabular format.
	The program generated the correct curves.

thank you!! I'll rate it right away if it is working.

Machine Problem: Weibull Distribution Name: Course Code: Date: Section: 100 pts The Weibull Distribution is used to assess product reliability and model failure times. We can determine if the number of failures is increasing with time, decreasing with time, or remaining constant. The following equations are used to compute for the Weibull Distribution of a product: Density Function f(x) = 1.) = -teCH) where x 2 0,4 > 0,8 > 0 Es() P(X) = Mean y = f'(X) = 8.1 =p.1(1+a) 02= =f{r(1+2) [F(1+2)]} Variance Alpha (a) Properties Also known as Shape Parameter, Weibull Scope, or Threshold Parameter. Beta (B) Properties Also known as Scale Parameter or Characteristic Life Paramter. If a1, failure rate increases with time. If a=1, failure rate is constant. Here is an example of the Probability Density with respect to time (x): (125 0.320 P=00 0315 -- name Probability Density Figure 1: Taken from http://www.engineered software.comasa/weibull.htm. 0310 =1 0 305 0.000 X Based on Figure 1, failure rates can increase or decrease with respect to time and depending on the alpha and beta properties of the product. For this machine problem, create a program that will replicate the Weibull Distribution below. Weibull Distribution