#.#-#.# [017]

Related by string. #.#-#.# [036] * #.# [010] : #.# ov #-# / #.# [009] : Rs #.# [005] * % CI #.#-#.# [002] . % CI #.#-#.# [006] . #.#-#.# mln eur [001] . % CI #.#-#.# [007] . % CI #.#-#.# [003] . confidence interval #.#-#.# . #.#-#.# yen . lbs #.#-#.# [002] . #.#-#.# pct [004] . #.# #.# -noon Van Matre . CI #.#-#.# [002] . #.#-#.# GHz [004] . #.#-#.# vs. . #.#-#.# measuring *

Related by context. Frequent words. (Click for all words.) 61 #.#-# [019] 58 #.#-#.# [035] 58 #-#.# [001] 57 #-#.# [028] 57 #.#-#.# [023] 56 #-#.# [023] 56 #-#.# [004] 55 #.# [035] 55 #.#-# [032] 54 #.#-#.# [021] 54 #.#-#.# [036] 52 #.#-#.# [025] 52 #.#-#.# [015] 52 #.#-#.# [016] 51 #.# [031] 51 #.#-#.# [012] 51 #.# [022] 50 #-#.# [010] 49 #-#.# [007] 49 #.#-#.# [031] 48 Rupee weakens 48 2t 48 2Y 48 #:#.# [010] 48 #.# [020] 48 #.#-#.# [027] 48 #-#.# [002] 47 Vernon Supp 47 #.# [009] 47 #.#-# [004] 47 ppd 47 .3 47 #.#-# [023] 47 #.#-# [007] 47 #-#/# #-#/# [005] 47 #.#-#.# [009] 47 +# bps [001] 46 percen 46 #.# [039] 46 #.#a [006] 46 #-#.# [013] 46 Karen Stoffer Suzuki 46 Craig Treble Suzuki 46 #,#-# [002] 46 gm t 46 #,#.# [024] 46 #.# pesos 46 1bp 45 #-# [026] 45 #-#.# [018] 45 #.# +#.# [002] 45 Exacta £ 45 oz ton silver 45 #.#/#.# [016] 45 .5 45 Sensex surges 45 troy oz 45 av £ 45 Trades -#.# 45 #.# [003] 44 w NWI 44 #,# [002] 44 Gle 44 #.#b [007] 44 0in 44 per qtl 44 INR1 #.# 44 .4 44 o# [002] 44 #-# [011] 44 #.# [041] 44 #.#-#.# [003] 44 EUR#.# [001] 44 #-#.# [003] 44 #.#percent [001] 44 to#.# [002] 44 ¼ 44 #.#h [003] 43 #.#-# [015] 43 Dec'# 43 #.# [008] 43 #.#-#.# [008] 43 Trades +#.# % 43 kg 43 stks 43 # # [001] 43 #mH [001] 43 3t 43 Yard Butterfly 43 Forex EUR JPY 43 pts 43 Nk 43 +# bps [002] 43 #.#/#.# [026] 43 ¾ l 43 CNY3 43 #.#/tonne [002] 43 #:# [010] 43 1t 43 #/tonne [003] 43 + -1

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