A specialty foods company sells "gourmet steaks." The steaks vary in size, with a mean uncooked weight of 

1.21.2 

pounds and standard deviatio

0.200.20 

pound. Use a normal model for the weight of a steak. Complete parts (a) through (d).

(a) Estimate the proportion of steaks that weigh less tha0.80.8 poundpound.

The proportion of steaks that weigh less tha0.80.8 poundpound is nothing.

(Round to four decimal places asneeded.)

(b) If a standard order has 33 steaks, then what model can be used to describe the total weight of the steaks in a standardorder? (Do you need to make anyassumptions?)

Assuming that the random variables for the weights of the individual steaks are independent and identicallydistributed, the mean of the model for the total weight is nothing pound(s) and the standard deviation of the model for the total weight is nothing pound(s).

(Round to two decimal places asneeded.)

(c) If the weights are converted to ounces(16 ouncesequals=1 pound), then what normal model would be appropriate for the weight of an individualsteak?

The mean of the model for an individual steak in ounces is nothing ounces(s) and the standard deviation of the model for an individual steak in ounces is nothing ounces(s).

(Round to two decimal places asneeded.)

(d) The lowerquartile, median, and upper quartile of the weights of the steaks are 1.051.05 poundspounds, 1.21.2 pounds, and 1.351.35 pounds, respectively. Do these summaries suggest that the use of a normal model isappropriate?

▼

Yes,

No,

 because the expected lower quartile is nothing, the expected median is nothing, and the expected upper quartile is nothing.

(Round to two decimal places asneeded.)