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Structure of frequency distribution and percentage polygon.
The following data represent the cost of electricity during July 2006 for a random sample of 50 one-bedroom apartments in a large city:
Raw Data on Utility Charges ($)
96
171
232
178
147
102
153
197
127
82
157
185
90
116
172
111
148
213
130
165
141
149
206
175
123
128
144
168
109
167
95
163
150
154
143
187
166
139
108
119
183
151
114
135
191
137
129
158
a. Form a frequency distribution and a percentage distribution that have class intervals with the upper class limits $99, $119, and so on.
b. create a histogram and a percentage polygon.
c. Form the cumulative percentage distribution and plot a cumulative percentage polygon.
d. Around what amount does the monthly electricity cost seem to be concerned?
What is the probability that the sample mean will be greater than M = 510. In symbols, what is p (M>510)?
Test the claim that for the adult population of one town, the mean annual salary is given by μ = $30,000.
A teacher gave a 25 question multiple choice test. After scoring the tests, she computed a mean and standard deviation of the scores. The standard deviation was 0. Based on this information
Illustrate what was the lowest score earned on the exam. Explain how many students scored within 3 standard deviations of the mean.
Based on the scatter diagram, does there appear to be any relationship between the number of assemblers and production? Explain.
To find out the test statistics utilizing chi square method. A professional bowler has been having trouble 'hitting the pocket' in order to get strikes.
Random samples of 25 observations were selected from each of 3 populations. For these data, SSTR= 120 and SSE = 216.
Determine the class with the greatest number of data values.
Is there evidence that population mean amount is different form 8.17 ounces? (Use a 0.05 level of significance.) with sample standard deviation of 0.051 ounce.
Based on this sample information, develop a 90 percent confidence interval for the population mean yearly premium.
The weight of a product is normally distributed with a mean of four ounces and a variance of .25 "squared ounces." What is the probability that the randomly selected unit from a recently manufactured batch weighs no more than 3.50 ounces.
A simple random sample of 1000 Americans found that 61% were satisfied with the service provided by the dealer from which they bought their car.
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