Task: Table-QA (source dataset: FinQA)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
| ( millions )                             | global industrial   | global institutional   | global energy   | other          | total            |
|:-----------------------------------------|:--------------------|:-----------------------|:----------------|:---------------|:-----------------|
| december 31 2015                         | $ 2560.8            | $ 662.7                | $ 3151.5        | $ 115.8        | $ 6490.8         |
| segment change ( a )                     | 62.7                | -62.7 ( 62.7 )         | -               | -              | -                |
| december 31 2015 revised                 | $ 2623.5            | $ 600.0                | $ 3151.5        | $ 115.8        | $ 6490.8         |
| current year business combinations ( b ) | -                   | 3.1                    | 0.6             | -              | 3.7              |
| prior year business combinations ( c )   | 3.5                 | -                      | 0.1             | -              | 3.6              |
| reclassifications ( d )                  | 3.5                 | -0.6 ( 0.6 )           | -2.9 ( 2.9 )    | -              | -                |
| effect of foreign currency translation   | -45.5 ( 45.5 )      | -11.8 ( 11.8 )         | -55.7 ( 55.7 )  | -2.1 ( 2.1 )   | -115.1 ( 115.1 ) |
| december 31 2016                         | $ 2585.0            | $ 590.7                | $ 3093.6        | $ 113.7        | $ 6383.0         |
| current year business combinations ( b ) | 123.4               | 403.7                  | 8.1             | 63.9           | 599.1            |
| prior year business combinations ( c )   | -0.2 ( 0.2 )        | -                      | 0.3             | -              | 0.1              |
| dispositions                             | -                   | -                      | -               | -42.6 ( 42.6 ) | -42.6 ( 42.6 )   |
| effect of foreign currency translation   | 88.8                | 32.6                   | 101.7           | 4.4            | 227.5            |
| december 31 2017                         | $ 2797.0            | $ 1027.0               | $ 3203.7        | $ 139.4        | $ 7167.1         |

Question:
what is the percentage change in the total carrying amount of goodwill from 2015 to 2017?


pre_text: goodwill and other intangible assets goodwill goodwill represents the excess of the purchase price over the fair value of identifiable net assets acquired in a business combination .
the company 2019s reporting units are its operating segments .
during the second quarter of 2017 , the company completed its scheduled annual assessment for goodwill impairment across its eleven reporting units through a quantitative analysis , utilizing a discounted cash flow approach , which incorporates assumptions regarding future growth rates , terminal values , and discount rates .
the two-step quantitative process involved comparing the estimated fair value of each reporting unit to the reporting unit 2019s carrying value , including goodwill .
if the fair value of a reporting unit exceeds its carrying value , goodwill of the reporting unit is considered not to be impaired , and the second step of the impairment test is unnecessary .
if the carrying amount of the reporting unit exceeds its fair value , the second step of the goodwill impairment test would be performed to measure the amount of impairment loss to be recorded , if any .
the company 2019s goodwill impairment assessment for 2017 indicated the estimated fair value of each of its reporting units exceeded its carrying amount by a significant margin .
if circumstances change significantly , the company would also test a reporting unit 2019s goodwill for impairment during interim periods between its annual tests .
there has been no impairment of goodwill in any of the years presented .
in the fourth quarter of 2017 , the company sold the equipment care business , which was a reporting unit , and the goodwill associated with equipment care was disposed of upon sale .
no other events occurred during the second half of 2017 that indicated a need to update the company 2019s conclusions reached during the second quarter of 2017 .
the changes in the carrying amount of goodwill for each of the company 2019s reportable segments are as follows : global global global ( millions ) industrial institutional energy other total .
post_text: ( a ) relates to establishment of the life sciences reporting unit in the first quarter of 2017 , and goodwill being allocated to life sciences based on a fair value allocation of goodwill .
the life sciences reporting unit is included in the industrial reportable segment and is comprised of operations previously recorded in the food & beverage and healthcare reporting units , which are aggregated and reported in the global industrial and global institutional reportable segments , respectively .
see note 17 for further information .
( b ) for 2017 , the company expects $ 79.2 million of the goodwill related to businesses acquired to be tax deductible .
for 2016 , $ 3.0 million of the goodwill related to businesses acquired is expected to be tax deductible .
( c ) represents purchase price allocation adjustments for acquisitions deemed preliminary as of the end of the prior year .
( d ) represents immaterial reclassifications of beginning balances to conform to the current or prior year presentation due to customer reclassifications across reporting segments completed in the first quarter of the respective year. .
label: 0.10419
qa: answer: 10.4%
ann_table_rows: 1
13
steps: op: minus1-1
arg1: 7167.1
arg2: 6490.8
res: 676.3
op: divide1-2
arg1: #0
arg2: 6490.8
res: 10.4%
program: subtract(7167.1, 6490.8), divide(#0, 6490.8)
gold_inds: table_1: ( millions ) the december 31 2015 of global industrial is $ 2560.8 ; the december 31 2015 of global institutional is $ 662.7 ; the december 31 2015 of global energy is $ 3151.5 ; the december 31 2015 of other is $ 115.8 ; the december 31 2015 of total is $ 6490.8 ;
table_13: ( millions ) the december 31 2017 of global industrial is $ 2797.0 ; the december 31 2017 of global institutional is $ 1027.0 ; the december 31 2017 of global energy is $ 3203.7 ; the december 31 2017 of other is $ 139.4 ; the december 31 2017 of total is $ 7167.1 ;
exe_ans: 0.10419
tfidftopn: table_2: ( millions ) The segment change ( a ) of global industrial is 62.7 ; The segment change ( a ) of global institutional is -62.7 ( 62.7 ) ; The segment change ( a ) of global energy is - ; The segment change ( a ) of other is - ; The segment change ( a ) of total is - ;
program_re: divide(subtract(7167.1, 6490.8), 6490.8)
model_input: table_1
( millions ) the december 31 2015 of global industrial is $ 2560.8 ; the december 31 2015 of global institutional is $ 662.7 ; the december 31 2015 of global energy is $ 3151.5 ; the december 31 2015 of other is $ 115.8 ; the december 31 2015 of total is $ 6490.8 ;
table_8
( millions ) the december 31 2016 of global industrial is $ 2585.0 ; the december 31 2016 of global institutional is $ 590.7 ; the december 31 2016 of global energy is $ 3093.6 ; the december 31 2016 of other is $ 113.7 ; the december 31 2016 of total is $ 6383.0 ;
table_13
( millions ) the december 31 2017 of global industrial is $ 2797.0 ; the december 31 2017 of global institutional is $ 1027.0 ; the december 31 2017 of global energy is $ 3203.7 ; the december 31 2017 of other is $ 139.4 ; the december 31 2017 of total is $ 7167.1 ;