**BUS 352 week 8 homework Answers Grand Canyon**

**10.55**Consider an experiment with four groups, with eight values in each. For the ANOVA summary table below, fill in all the missing results:

Source | Degrees of Freedom | Sum of Squares | Mean Square (Variance) | F |

Among Groups | c-1=? | SSA=? | MSA=80 | FSTAT=? |

Within Groups | n-c=? | SSW=560 | MSW=? | |

Total | n-1=? | SST=? |

**10.59**A hospital conducted a study of the waiting time in its emergency room. The hospital has a main campus and three

Satellite locations. Management had a business objective of reducing waiting time for emergency room cases that did not require immediate attention. To study this, a random sample of 15 emergency room cases that did not require immediate attention at each location were selected on a particular day, and the waiting times (measured from check-in to when the patient was called into the clinic area) were collected and stored inERWaiting.

**A.**At the 0.05 level of significance, is there evidence of a difference in the mean waiting times in the four locations?

**B.**If appropriate, determine which locations differ in mean waiting time.

**C.**At the 0.05 level of significance, is there evidence of a difference in the variation in waiting time among the four locations?

**11.21**When performing ax2 test of independence in a contingency table with*r*rows and*c*columns, determine the upper-tail critical value of the test statistic in each of the following circumstances:

**A.**a= 0.05,*r *=4 rows,*c*= 5 columns

**B.**a= 0.01,*r *=4 rows,*c*= 5 columns

**C.**a= 0.01,*r *=4 rows,*c*= 6 columns

**D.**a= 0.01,*r *=3 rows,*c*= 6 columns

**E.**a= 0.01,*r *=6 rows,*c*= 3 columns

**11.22**The owner of a restaurant serving Continental-style entrées has the business objective of learning more about the patterns of patron demand during the Friday-to-Sunday weekend time period. Data were collected from 630 customers on the type of entrée ordered and the type of dessert ordered and organized into the following table:

Type of Entrees |
|||||

Type of Dessert |
Beef | Poultry | Fish | Pasta | Total |

Ice Cream | 13 | 8 | 12 | 14 | 47 |

Cake | 98 | 12 | 29 | 6 | 145 |

Fruit | 8 | 10 | 6 | 2 | 26 |

None | 124 | 98 | 149 | 41 | 412 |

Total |
243 | 128 | 196 | 63 | 630 |

At the 0.05 level of significance, is there evidence of a relationship between type of dessert and type of entrée?

**11.26**PwC takes a closer look at what CEOs are looking for and are finding as new sources of value in their businesses and industries. The results of the 2014 Global CEO survey, summarized in the table below, classified CEOs by the main opportunity that they identified for business growth in their companies as well as their geographic region.

Geographic Region |
|||||

Identified Main Opportunity |
U.S | China & Hong Kong | Japan | Germany | Total |

Product or Service Innovation | 58 | 58 | 45 | 21 | 182 |

Increased Share in Existing Markets | 60 | 30 | 31 | 15 | 136 |

Mergers and Acquisitions | 23 | 10 | 12 | 4 | 49 |

New Geographic Markets | 16 | 18 | 31 | 2 | 67 |

New Joint Ventures
and/or Strategic Alliances |
5 | 18 | 8 | 3 | 34 |

Total |
162 | 134 | 127 | 45 | 468 |

At the 0.05 level of significance, is there evidence of a significant relationship between the identified main opportunity and geographic region?

**12.3**Fitting a straight line to a set of data yields the following prediction line:

Y?=2+5x?

**A.**Interpret the meaning of the*Y*intercept,*b*0.

**B.**Interpret the meaning of the slope,*b*1.

**C.**Predict the value of*Y*for*X *=6.

**12.7**Starbucks Coffee Co. uses a data-based approach to improving the quality and customer satisfaction of its products. When survey data indicated that Starbucks needed to improve its package-sealing process, an experiment was conducted to determine the factors in the bag-sealing equipment that might be affecting the ease of opening the bag without tearing the inner liner of the bag. (Data extracted from L. Johnson and S. Burrows, “For Starbucks, It’s in the Bag,”*Quality Progress*, March 2011, pp. 17–23.) One factor that could affect the rating of the ability of the bag to resist tears was the plate gap on the bag-sealing equipment. Data were collected on 19 bags in which the plate gap was varied. The results are stored inStarbucks.

**A.**Construct a scatter plot.

**B.**Assuming a linear relationship, use the least-squares method to determine the regression coefficients*b*0and*b*1.

**C.**Interpret the meaning of the slope,*b*1, in this problem.

**D.**Predict the mean tear rating when the plate gap is equal to 0.

**E.**What should you tell management of Starbucks about the relationship between the plate gap and the tear rating?

**12.9**An agent for a residential real estate company in a suburb located outside of Washington, DC, has the business objective of developing more accurate estimates of the monthly rental cost for apartments. Toward that goal, the agent would like to use the size of an apartment, as defined by square footage to predict the monthly rental cost. The agent selects a sample of 48 one-bedroom apartments and collects and stores the data inRentSilverSpring.

**A.**Construct a scatter plot.

**B.**Use the least-squares method to determine the regression coefficients*b*0and *b*1.

**C.**Interpret the meaning of*b*0and*b*1in this problem.

**D.**Predict the mean monthly rent for an apartment that has 800 square feet.

**E.**Why would it not be appropriate to use the model to predict the monthly rent for apartments that have 1,500 square feet?

**F.**Your friends Jim and Jennifer are considering signing a lease for a one-bedroom apartment in this residential neighborhood. They are trying to decide between two apartments, one with 800 square feet for a monthly rent of $1,130 and the other with 830 square feet for a monthly rent of $1,410. Based on (a) through (d), which apartment do you think is a better deal?

**12.19**In Problem 12.7 on page 424, you used the plate gap on the bag-sealing equipment to predict the tear rating of a bag of coffee (stored inStarbucks). Using the results of that problem,

**A.**determine the coefficient of determination,*r*2, and interpret its meaning.

**B.**determine the standard error of the estimate.

**C.**How useful do you think this regression model is for predicting the tear rating based on the plate gap in the bag-sealing equipment?

**12.21**In Problem 12.9 on page 424, an agent for a real estate company wanted to predict the monthly rent for one bedroom apartments, based on the size of the apartment (stored inRent-SilverSpring). Using the results of that problem,

**A.**determine the coefficient of determination,*r*2, and interpret its meaning.

**B.**determine the standard error of the estimate.

**C.**How useful do you think this regression model is for predictingthe monthly rent?

**D.**Can you think of other variables that might explain the variation in monthly rent?