Answer Happy

An engineer wants to know if producing metal bars using a new experimental treatment rather than the conventional treatment makes a difference in the tensile strength of the bars (the ability to resist tearing when pulled lengthwise). At a = 0.01, answer parts (a) through (e). Assume the population variances are equal and the samples are random. If convenient, use technology to solve the problem. Treatment Tenate strengths (newions per square millimeter) Experimental 374 433 424 394 437 432 360 Conventional 427 434 393 429 443 401 439 405 425 425 The null hypothesis, Ho, is The alternative hypothesis, Hy is Which hypothesis is the claim? The null hypothesis. Ho The alternative hypothesis, (b) Find the critical value(s) and identify the rejection region(s) Enter the critical value(s) below. (Type an integer or decimal rounded to three decimal places as needed. Use a comma to separato answers as needed) Select the correct rejection region(s) below. O A 16 OB. <- 60.>to OC <- OD-to<<

An engineer wants to know if producing metal bars using a new experimental treatment rather than the conventional treatment makes a difference in the tensile strength of the bars (the ability to resist tearing when pulled lengthwise). At a = 0.01, answer parts (a) through (e). Assume the population variances are equal and the samples are random. If convenient, use technology to solve the problem. Treatment Tensile strengths (newtons per square millimeter) Experimental 374 433 424 394 437 432 360 Conventional 427 434 393 429 443 401 439 405 425 425 (Type an integer or decimal rounded to three decimal places as needed. Use a comma to separate answers as needed.) Select the correct rejection region(s) below. OA > to OB. 1 tot to OC. IC-to OD. -t <tato (e) Find the standardized test statistic, (Typo an integer or decimal rounded to the nearest thousandth as needed.) (d) Decide whether to reject or fail to reject the null hypothesis the null hypothesis () Interpret the decision in the context of the original claim. At the 1% significance level, enough evidence to support the claim