# statistics

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Roger Amster teaches an English course in which 40 students are enrolled. After yesterdays class, roger questioned the 5 students who always sit in the back of the classroom. Three of the 5 said “yes” when asked if they would like a tale of two cities as the next class reading assignment.
a. Identify the population and the sample in this situation
b. Is this likely to be a representative sample? If not, why not?
2.5
The national center for health statistics reports the following age breakdown of deaths in the United States during 2002.
Age (years) number of deaths (thousands)
Under 15 40.01
15 – Under 25 33.08
25-under 35 41.38
35-under 45 91.01
45 under 55 172.21
55-under 65 253.73
65-under 75 424.11
75 or over 1391.99
Identify the following for the 45-under 55 classes:
(a) Frequency, (b) upper and lower limits, (c) width, and (d) midpoint
2.43
The following data represent x= the total number of businesses and y= the number of business failures in mountain states over a 1-year period.
x=number of y= number of
Arizona 146,672 1090
Idaho 46,787 312
Montana 43,961 191
New Mexico 55,334 319
Utah 58,156 372
Wyoming 26,383 178

a. Draw a scatter diagram representing these data.
b. Using the “eyeball” method, fit a straight line to the data.
c. Does there appear to be any relationship between the variables? If so, is the relationship direct or inverse?

• statistics -

We do not do your homework for you. However, I will give you a start.

If Roger did not assign the seating, what type of student would choose to sit in the back of the class (sample)? Would that type of student be representative of the whole class (population)?

• statistics -

An appliance manufacturer stockpiles washers and dryers in a large warehouse for shipment to retail stores. Sometimes in handling the appliances get damaged and must be sold at a reduced price. The company wishes to keep the proportion of damaged machines at 2%. It is believed, however, that this level is being exceeded at the warehouse. To investigate, an inspector randomly sampled 60 appliances ready for delivery and found 5 to be damaged. What is the parameter of interest?

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