In the lectures we worked an example that involved constructing a 95% confidence interval for the mean of the population of starting salaries of students who graduated from a particular university.  The 95% confidence interval that we derived was ($25,964,  $29,636).  Which one of the following interpretations is correct?

Assume the mean length of time required to complete the Columbus Marathon was 4.5 hours and the standard deviation of the times was 0.70 hours.  Assume that the racing times were approximately normally distrubuted.  Only 10% of the runners would be expected to complete the race in less than x hours.  Find the value of x.

A state energy agency mailed questionnaires on energy conservation to 1,000 homeowners in Columbus.  Suppose an experiment consists of randomly selecting one of the returned questionnaires.  Consider the events:    Event A:  the home is constructed of brick    Event B:  the home is more than 30 years old    Event C:  the home is heated with oil A home that is constructed of brick or is heated with oil would be represented by which one of the following?

An experiment involves two factors, breed and diet, where there are 3 levels of diet and 4 levels of breed.  This experiment is referred to as a  __________.

Weights are recorded for 500 Labrador Retriever dogs.  The type of data being collected is ____________ data.

The mean length of time required to complete a 5K race was 20 minutes.  The standard deviation of the times was 4 minutes.  The racing times were approximately normally distributed.  What is the probability that a randomly selected runner completed the race in less than 16 minutes?

An animal scientist wants to estimate the proportion of heifers that require assistance when giving birth to their first calves.  Based on previous research, the animal scientist believes that the proportion of heifers that require assistance is 0.20.  How large of a sample does the animal scientist need in order to obtain an estimate of p that is correct to within 0.05 with probability equal to 0.90?

A randomized block design is used to compare litter sizes of the Yorkshire and Duroc breeds of sows.  Blocking is used in an attempt to remove the effects of sow age, since it is known that sow age influences litter size.  Each block contains sows of similar ages.  The data collected for this experiment are as follows:                   Yorkshire       Duroc       Block totals Block 1          9 pigs         7 pigs         16 pigs Block 2         10                8                18 Block 3         11                9                 20 Block 4         13              10                 23                                                                             Totals           43              34                 77   The partially completed ANOVA table for this experiment is as follows:   Source          df          SS          MS          F        Total                        23.875 Breed                      10.125      10.125      81.0 Block                       13.375       Error                          0.375                                   Calculate the mean square for blocks and the mean square for error.

The mean weight of a sample of pigs is 220 lb and the standard deviation of the weights is 35 lb.  If the data set does not have a symmetric and mound shaped distribution, and we therefore use Chebyshev’s Rule, we would expect what % of the pigs to weigh between 115 and 325 lb?

Assume that we have 60 plots of ground and that we want to select a random sample of 6 plots for an experiment.  We use row 8 of a random number table and go from left to right across the row of random numbers: 96301     91977     05463     07972    18876     20922     94595     56869     69014     60045     18425     84903     42508     32307 Which 6 plots do we include in our random sample?