Link to the files, slump.txt and wickosity (1).mat

https://drive.google.com/open?id=1uhuoxTVfzUbmQY039i6SkzJGHqVXWSZv

4 Finally, you remember you learned something about the difference in two means in ISEN 314 Statistical Control of Quality. You dig out your old notes and find the formula for the confidence interval for the different in two means: ni n2 where 1 and 2 are the true population means, T1 and T2 are the sample means, ]and variances (you can use the sample variances) and n1 = n2 = 200. are the If the two Cases have the same population mean, then 1-12-0, and we expect zero to fall within the confidence range represented by T-X2 Zg/2E+ n. If the two cases have different means, then 0 will fall outside this range. Add code to your script to determine if the two means are different at the 99% confidence level ( = 0.01). Use norma nv to get your z-value (it isn't 1.96). Your additional results should look something like this (your numbers besides the z-valuewil be slightly different): z-value for two-sided 99% CI is 2.575829 Difference between means is 1.988239 z-value times square root of sum of standard errors is 0.276120 Means are not equal at 99% confidence 4 Finally, you remember you learned something about the difference in two means in ISEN 314 Statistical Control of Quality. You dig out your old notes and find the formula for the confidence interval for the different in two means: ni n2 where 1 and 2 are the true population means, T1 and T2 are the sample means, ]and variances (you can use the sample variances) and n1 = n2 = 200. are the If the two Cases have the same population mean, then 1-12-0, and we expect zero to fall within the confidence range represented by T-X2 Zg/2E+ n. If the two cases have different means, then 0 will fall outside this range. Add code to your script to determine if the two means are different at the 99% confidence level ( = 0.01). Use norma nv to get your z-value (it isn't 1.96). Your additional results should look something like this (your numbers besides the z-valuewil be slightly different): z-value for two-sided 99% CI is 2.575829 Difference between means is 1.988239 z-value times square root of sum of standard errors is 0.276120 Means are not equal at 99% confidence