Statistics based questions


Question 1: The data displayed below represents the electricity cost during a recent month for a random sample of 50 one-bedroom apartments in a large city.

96

171

202

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

130

143

187

166

139

149

108

119

183

151

114

135

191

137

129

158

a) Using seven classes of equal width organize the above data as a less-than cumulative frequency distribution.

b) Draw to scale the less-than ogive for the above data.

c) Use the ogive to determine:

d) The percentage of apartments for which the electricity cost is in the range $115 - $135.

e) The mid- 75 percentage range.

Question 2:

a) A municipal bond service in the US has three rating categories (A, B and C). Suppose that of the total number of municipal bonds issued in the past year, 70% were rated A, 20% were rated B and 10% were rated C. Of the bonds rated A, 50% were issued by cities, 40% by suburbs and 10% by rural areas. Of the bonds rated B, 60% were issued by cities, 20% by suburbs and 20% by rural areas. Of the bonds rated C, 90% were issued by cities, 5% by suburbs and 5% by rural areas.

i) If a new bond is to be issued by a city, what is the probability that it will receives an A rating?

ii) What proportion of municipal bonds is issued by suburbs?

b) Unisys.com is one of the most frequented business-to-business web sites. According to a Wall Street Journal article, business partners accessing Unisys.com spend an average of 65.7 minutes, possibly the longest average time per visit of any business-to-business Web site. Assuming that the duration of a visit to this Website is normally distributed with a mean of 65.7 minutes and a standard deviation of 15 minutes.

i) What is the probability that a randomly selected visit will last between 60 and 90 minutes?

ii) Less than how many minutes will only 20% of the visits last?

iii) Between what values, symmetrically distributed around the mean will 90% of visits last?

Question 3:

The table below gives two samples selected from 10 supermarkets of the weekly sales of a popular soft drink. The first sample gives the details for a normal shelf display of the product, while the second sample gives the details for an end-aisle shelf display. Assuming equal variances, establish, at the 5% level of significance, whether there is a statistically significant difference in the mean weekly sales for the two display locations.

Normal display

End-Aisle Display

22

52

34

71

52

76

62

54

30

67

40

83

64

66

84

90

56

77

59

84

Question 4:

The table below gives the quarterly enrollment in a major American business college for the period 2007-2010.

Year

Winter

Spring

Summer

Autumn

2007

2033

1871

714

2318

2008

2174

2069

840

2413

2009

2370

2254

927

2704

2010

2625

2478

1136

30

a) Draw to scale a time series graph representing the above data.

b) Using the ratio-to-moving-average method, determine the quarterly seasonal indices.

c) Interpret the quarterly pattern of enrolment

d) Compute the trend equation.

e) Forecast the 2011 enrolment by quarter.

Question 5:

A businessman has two independent investments A and B available to him, but he lacks the capital to undertake both of them simultaneously. He can choose to take A first and then stop, or if A is successful then take B, or vice versa. The probability of success on A is 0.7 while for B it is 0.4. Both investments require an initial capital outlay of $2000 and both return nothing if the venture is unsuccessful. Successful completion of A will return $3000 (over cost), while successful completion of B will return $5000 (over cost). Prepare a report, with the aid of a decision tree, advising the investor of the best course of action.

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Basic Statistics: Statistics based questions
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