Matlab

1 nad 2 already finished, just 3 and 4left~~~

Inference 10 springs have been tested and have had their spring constant recorded. This data has been provided in a .csv file

10.051, 9.5551, 9.806, 9.9991, 10.191, 10.259, 9.8472, 9.4386, 9.4493, 9.5575

1. Using MATLAB, import the data using csvread and determine the sample mean and variance (using in-built functions is fine)(finished)

2. Determine the 95% confidence interval for the spring constant of the springs(finished)

x = csvread("values.csv"); m = mean(x); v = var(x); sprintf("Mean is %f and Variance is %f",m,v) se = sqrt(v)/sqrt(length(x)); t = tinv([0.025 0.975], length(x)-1); CI = m + t*se; sprintf("Calculated Confidence interval is %f to %f", CI(1),CI(2))

unfinishing are 3 and 4.(clear code please)

(clear code please)

3. The spring manufacturer claims that the springs have a spring constant of 10kN/m. Conduct a hypothesis test to see if there is sufficient evidence to suggest that this spring constant is incorrect. Use the comparison between Test and 1,1 -a/2 for your hypothesis test. 4. If the sample mean and variance stayed the same, but there were 50 springs, calculate the new 95% confidence intervals and reconduct a hypothesis test. Explain why the confidence interval changes