Chapter 8 Technology Group Project

Chapter 8 Technology Group Project

<p>Chapter 8 Technology Group Project</p><p>This is to be done as a group and one document submitted for the group.</p><p>1. List the members of your group.</p><p>Test the claim that there is no difference in the temperatures between last year and this year. Use Minitab to generate 16 random days from last year (Oct 1, 2003 - Sep 30, 2004) and 16 random days from this year (Oct 1, 2004 - Sep 30, 2005). For each of those randomly generated days, gather the average daily temperature for Decatur, IL, for those days from the NOAA website at http://www.crh.noaa.gov/ilx/archive.php</p><p>2. Record the days selected and the temperatures from the website October 1, 2003 – September 30, 2004 October 1, 2004 – September 30, 2005 Date Temp Date Temp Date Temp Date Temp</p><p>3. Summarize your data for each year 10/01/2003 – 09/30/2004 10/01/2004 – 09/30/2005 Sample Size Mean Standard Devation</p><p>4. The samples are ( independent / dependent ).</p><p>5. Write the original claim symbolically.</p><p>6. The original claim is the ( null / alternative ) hypothesis.</p><p>7. Write the null and alternative hypotheses.</p><p>8. This is a ( left / right / two ) tail test. 9. How many degrees of freedom are there?</p><p>10. What is (are) the critical value(s)?</p><p>11. What is the test statistic?</p><p>12. What is the probability value?</p><p>13. The test statistic ( does / does not ) fall in the critical region.</p><p>14. The probability value is ( less / greater ) than the significance level.</p><p>15. The decision is to ( reject / retain ) the null hypothesis.</p><p>16. There ( is / is not ) enough evidence to ( reject / support ) the claim that the temperature last year is the same as the temperature this year.</p><p>17. There ( is / is not ) enough evidence to ( reject / support ) the claim that there is a difference in last year's temperature and this year's temperature.</p><p>18. Use Minitab to generate a graph similar to the one on the mathematical notation and your activities. Label the critical values, critical region, non-critical region. Label each region with the decision for that region. Place the test statistic on the graph. Draw arrows and label them using proper notation to illustrate the areas in the critical region, non-critical region, and the p-value. Paste that graph below.</p>

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