Testing a claim about a population mean: t-Test

You work for a steel company that produces "lag bolts". One product is a 10-inch lag bolt. A recent re-design of a machine involved in the production of these bolts has the company wondering whether the production still produces 10-inch lag bolts. You have gathered a random sample of bolts that have been produced with this new production process. Conduct an appropriate test, at a 5% significance level (tα/2=t0.0252.1098)\displaystyle {\left({t}_{{\alpha/{2}}}={t}_{{0.025}}\approx{2.1098}\right)}, to determine if the overall mean for this process is 10 inches.

Data (lag bolt lengths, measured in inches):

10.019.9510.0510.129.869.869.9710.019.95
10.0010.049.929.9010.029.9210.0710.009.93

Sample Statistics

n=18\displaystyle {n}={18} x=9.97667\displaystyle \overline{{x}}={9.97667} s=0.07154\displaystyle {s}={0.07154}

  1. Choose the correct alternate hypothesis.
  2. Are the necessary conditions present to carry out this inference procedure? Explain in context.
  3. Carry out the procedure ("crunch the numbers"):

  4. Sample mean: x\displaystyle \overline{{x}}\approx
  5. Standard error of the sample mean: σx\displaystyle \sigma_{\overline{{x}}}\approx
  6. Standardized test statistic: t\displaystyle {t}\approx
  7. P-value:

  8. Decision:
  9. Write a conclusion in context.