in C++ please

This project is about interpolating data obtained from the Error Function erf(x) = te le+ dt. There are three main components of the project. The first one is to write a short program capable of adding terms of a series. The second is to perform Linear Interpolation and the third one is to obtain a 5th degree interpolating polynomial. The Error Function is has many uses. A few are given below: It is used in the bit error rate of a digital communication system / signal processing It is used in the solution of the Heat Equation / Diffusion Equation It is used in computing the standard normal cumulative probability Step #1. Write a short program that computes a Maclaurin series for the error function in section 1.1, page 13, problem #24. You may use any one of the two formulas. Your program should be capable of accepting an x value and adding 8 terms of the series. Print your answers with only 5 decimals and fill the table: Input value x X=0 x= 0.2 0.4 0.6 0.8 1.0 Erf(x) with 5 decimals only Print your computer program for Step#1 here: Step#2. Using relevant points from your table and Linear Interpolation, approximate the value of erf(1). Show your steps here. You can print or write by hand. This project is about interpolating data obtained from the Error Function erf(x) = te le+ dt. There are three main components of the project. The first one is to write a short program capable of adding terms of a series. The second is to perform Linear Interpolation and the third one is to obtain a 5th degree interpolating polynomial. The Error Function is has many uses. A few are given below: It is used in the bit error rate of a digital communication system / signal processing It is used in the solution of the Heat Equation / Diffusion Equation It is used in computing the standard normal cumulative probability Step #1. Write a short program that computes a Maclaurin series for the error function in section 1.1, page 13, problem #24. You may use any one of the two formulas. Your program should be capable of accepting an x value and adding 8 terms of the series. Print your answers with only 5 decimals and fill the table: Input value x X=0 x= 0.2 0.4 0.6 0.8 1.0 Erf(x) with 5 decimals only Print your computer program for Step#1 here: Step#2. Using relevant points from your table and Linear Interpolation, approximate the value of erf(1). Show your steps here. You can print or write by hand