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- Call centers today play an important role in managing day-to-day business communications with customers. Call centers must be monitored with a comprehensive set of metrics so that businesses can better understand the overall performance of those centers. One key metric for measuring overall call center performance is the amount of time spent speaking to customers on the phone. The table given below contains data for the time, in seconds, spent by agents talking to 49 customers. Complete parts (a) through (c) below. E Click the icon to view the call time data table. -- --- --- --- - --- Seconds Seconds Seconds Time (in seconds) spent talking b. Construct a cumulative percentage polygon. Choose the correct cumulative percentage polygon below. 232 100 64 122 286 109 327 228 327 187 232 161 201 240 126 72 147 224 146 260 115 87 233 421 118 305 108 429 204 414 213 230 154 66 198 340 116 243 260 315 382 180 338 191 231 180 O 212 382 226 OA. O B. 100 100 - 100- 75 755 75 50 50 50 25 25 25 0-…Call centers today play an important role in managing day-to-day business communications with customers. Call centers must be monitored with a comprehensive set of metrics so that businesses can better understand the overall performance of those centers. One key metric for measuring overall call center performance is service level, the percentage of calls answered by a human agent within a specified number of seconds. The table below contains the following data for time, in seconds, to answer 50 incoming calls to a financial services call center. E Click the icon to view the data. 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 the service level target is set as "80% of calls answered within 20 seconds"? - X a. Construct a frequency distribution and a percentage distribution. Data table Construct a frequency distribution. Time Frequency 16 13 18 19 (seconds)…Call centers today play an important role in managing day-to-day business communications with customers. Call centers must be monitored with a comprehensive set of metrics so that businesses can better understand the overall performance of those centers. One key metric for measuring overall call center performance is service level, the percentage of calls answered by a human agent within a specified number of seconds. The table below contains the following data for time, in seconds, to answer 50 incoming calls to a financial services call center. E Click the icon to view the data. 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 the service level target is set as "80% of calls answered within 20 seconds"? - X Data table a. Construct a frequency distribution and a percentage distribution. Construct a frequency distribution. Time 18 15 17 17 Frequency (seconds)…
- Generate the role of business statistics for making business decision.Consider a business owner, how would you use methodology and the data results to increase sales or improve overall profitability? What are some of your recommendations?It is the science that deals with the collection, organization, presentation, analysis, and interpretation of data.
- Please answer in excel. Thank you! Call centers today play an important role in managing day-to-day business communications with customers. It’s important, therefore, to monitor a comprehensive set of metrics, which can help businesses understand the overall performance of a call center. One key metric for measuring overall call center performance is service level which is defined as the percentage of calls answered by a human agent within a specified number of seconds. The file ServiceLevel contains the following data for time, in seconds, to answer 50 incoming calls to a financial services call center:16 14 16 19 6 14 15 5 16 18 17 22 6 18 10 15 12 6 19 16 16 15 13 25 9 17 12 10 5 15 23 11 12 14 24 9 10 13 14 26 19 20 13 24 28 15 21 8 16 12 a. At the 0.05 level of significance, is there evidence that the population mean time to answer calls is less than 20 seconds? b. What assumption about the population distribution is needed in order to conduct the t test in (a) d. Do you think…The majority of companies today are using data analytics to gain a competitive advantage. Describe various ways in which business analytics can be used to lower cost, improve customer experience, and increase productivity. Make sure to support your argument with examples in newspaper, magazines, and online sources.Spring is a peak time for selling houses. Suppose the data below contains the selling price, number of bathrooms, square footage, and number of bedrooms of 26 homes sold in Ft. Thomas, Kentucky, in spring 2018. Selling Price Baths Sq Ft Selling Price 160,000 170,000 178,000 182,500 195,100 212,500 245,900 250,000 255,000 258,000 267,000 268,000 275,000 1.5 1,786 2 1,768 1 1,219 1 1,578 1.5 1,125 2 1,196 2 2,128 N W 3 2 1,280 1,596 3.5 2,374 2.5 2,439 2 1,470 2 1,688 Beds 3 3 3 2 3 2 3 3 3 4 3 4 4 295,000 325,000 325,000 328,400 331,000 344,500 365,000 385,000 395,000 399,000 430,000 430,000 454,000 Baths Sq Ft 2.5 1,860 3 2,056 3.5 2,776 2 1,408 1.5 1,972 2.5 1,736 2.5 1,990 2.5 3,640 2.5 1,928 2 2,108 2 2,462 2 2,615 3.5 3,700 Beds 3 4 4 4 3 3 4 4 4 3 4 4 4 Consider the estimated regression equation we developed that can be used to predict the selling price given the number of bathrooms, square footage, and number of bedrooms in the house. (x, denotes number of bathrooms, x₂ denotes…
- A manager of a large corporation recommends a $10,000 raise be given to keep a valuedsubordinate from moving to another company. What internal and external sources of datamight be used to decide whether such a salary increase is appropriate?what are the three categories of business analyticsExplain why the data that come from the BBS are considered to be indices (not true population estimates) and give an example or describe how the resulting data can be useful in understanding, conserving, or managing bird populations.
