Question

Financial services call centers monitor call duration, which is the amount of time spent speaking to customers on the phone. Following are the data for time, in seconds, spent by agents talking to 50 customers. 243 290 199 125 151 158 139 181 240 111 136 250 420 112 239 208 313 154 65 133 213 230 273 288 180 296 235 243 66 78 229 167 350 264 154 227 1141 251 123 314 377 69 384 331 385 135 170 239 99 * Do the data contain outliers? Explain.

          Financial services call centers monitor call duration, which is the amount of time spent speaking to customers on the phone. Following are the data for time, in seconds, spent by agents talking to 50 customers.
243
290
199
125
151
158
139
181
240
111
136
250
420 
112
239
208
313
154
65
133
213
230 
273
288
180
296 
235 
243
66
78
229
167
350
264
154
227
1141 
251
123
314
377
69
384
331
385
135
170
239
99
*    Do the data contain outliers? Explain.
        
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Added by Cheryl S.

Elementary Statistics a Step by Step Approach
Elementary Statistics a Step by Step Approach
Allan G. Bluman 9th Edition
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Financial services call centers monitor call duration, which is the amount of time spent speaking to customers on the phone. Following are the data for time, in seconds, spent by agents talking to 50 customers. 243 290 199 125 151 158 139 181 240 111 136 250 420 112 239 208 313 154 65 133 213 230 273 288 180 296 235 243 66 78 229 167 350 264 154 227 1141 251 123 314 377 69 384 331 385 135 170 239 99 * Do the data contain outliers? Explain.
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A financial services call center monitors call duration, which is the amount of time spent speaking to customers on the phone. The dataset contains the following data for time, in seconds, spent by agents talking to 50 customers: 243, 290, 199, 240, 125, 151, 158, 66, 350, 1141, 251, 385, 239, 139, 181, 111, 136, 250, 313, 154, 78, 264, 123, 314, 135, 99, 420, 112, 239, 208, 65, 133, 213, 229, 154, 377, 69, 170, 261, 230, 273, 288, 180, 296, 235, 243, 167, 227, 384, 331 a. Compute the mean, median, range, and standard deviation for the call duration, which is the amount of time spent speaking to customers on the phone. Interpret these measures of central tendency and variability. b. List the five-number summary. c. Construct a boxplot and describe its shape. d. What can you conclude about call center performance if a call duration target of less than 240 seconds is set?

Kari H.

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2.21 The financial services call center in Problem 2.20 also monitors call duration, the amount of time spent speaking to customers on the phone. The file Call Duration contains the following data for time, in seconds, spent by agents talking to 50 customers: 243 290 199 240 125 151 158 66 350 1141 251 385 239 139 181 111 136 250 313 154 78 264 123 314 135 99 420 112 239 208 65 133 213 229 154 377 69 170 261 230 273 288 180 296 235 243 167 227 384 331 a. Construct a frequency distribution and a percentage distribution. b. Construct a cumulative percentage distribution. c. What can you conclude about call center performance if a call duration target of less than 240 seconds is set?

Umar Sohail Q.


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Transcript

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00:01 Okay, so i see that you need help with this question, and it says a financial service call center monitors call duration, which is the amount of time spent speaking to customers on the phone.
00:09 The data set contains the following data for time in seconds spent by agents talking to 50 customers.
00:17 So it wants you to compute the mean, median, range, and standard deviation for the call duration, which is the amount of time spent speaking to customers on the phone.
00:26 Own.
00:27 Interpret these measures of central tendency and variability.
00:31 So first of all, in order to do this, you need to put the numbers in order from least to greatest.
00:39 Okay.
00:39 So i took all of the numbers, put them in order from least to greatest.
00:43 There are a total of 50 numbers.
00:47 And when you total up all of the numbers, you are going to get a sum.
00:54 And so the sum of all of the values is going to be 11 ,639.
01:04 Then what you're going to do is you're going to take that value and you're going to divide it by 50 and you are going to get a mean of 232 .78.
01:14 I rounded to the nearest tenths place.
01:17 I'm sorry, hundredths place.
01:19 Then the median, that is the middle number, you are going to get 228.
01:27 The range, you're going to take the smallest number, subtract from the, i'm sorry, the smallest number from the largest number, and the range is going to be 1 ,076.
01:44 For the standard deviation, you have to take the difference from each one of your values and the mean, square them, add them together.
01:53 So you're going to get a sum of your squares is going to be, so sum of squares is going to be 1, 2, 3, 3, 8, 9, 0 .58.
02:09 Eight.
02:09 Then you're going to, so sum of squares, you're going to then divide that by the 50 minus one, because this is a sample of the data set.
02:25 So it's going to do, divide that by 49, and you are going to get a variance of 2 ,5181 .44.
02:41 Then you're going to find the square root of that and that's going to be your standard deviation of 158 .69.
02:51 So then it wants you to list the five number summary.
02:54 Five number summary is your minimum, your quartile one, median, quartile 2, and your maximum...
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