五年级脱式计算
\u5c0f\u5b66\u4e94\u5e74\u7ea7\u8131\u5f0f\u8ba1\u7b97280\uff0b840\u00f724\u00d75
85\u00d7(95\uff0d1440\u00f724)
58870\u00f7(105\uff0b20\u00d72)
80400\uff0d(4300\uff0b870\u00f715)
1437\u00d727\uff0b27\u00d7563
81432\u00f7(13\u00d752\uff0b78)
125\u00d7(33\uff0d1)
37.4\uff0d(8.6\uff0b7.24\uff0d6.6)
156\u00d7107-7729
37.85-\uff087.85+6.4\uff09
287\u00d75+96990\u00f7318
1554\u00f7[\uff0872-58\uff09\u00d73]
36\u00d7(913\uff0d276\u00f723)
(93\uff0b25\u00d721)\u00d79
507\u00f713\u00d763\uff0b498
723\uff0d(521\uff0b504)\u00f725
384\u00f712\uff0b23\u00d7371
(39\uff0d21)\u00d7(396\u00f76)
156\u00d7[(17.7-7.2)\u00f73]
[37.85-\uff087.85+6.4\uff09] \u00d730
28\u00d7(5+969.9\u00f7318)
81\u00f7[\uff0872-54\uff09\u00d79]
57\u00d712\uff0d560\u00f735
848\uff0d640\u00f716\u00d712
2800\u00f7 100\uff0b789
\uff08947\uff0d599\uff09\uff0b76\u00d764
960\u00f7\uff081500\uff0d32\u00d745\uff09
[192\uff0d\uff0854\uff0b38\uff09]\u00d767
138\u00d725\u00d74
(12+24+80)\u00d750
704\u00d725
25\u00d732\u00d7125
32\u00d7(25+125)
178\u00d7101\uff0d178
84\u00d736+64\u00d784
75\u00d799+2\u00d775
83\u00d7102\uff0d83\u00d72
98\u00d7199
25\u00d7\uff0824+16\uff09
123\u00d718\uff0d123\u00d73+85\u00d7123
79\u00d742+79+79\u00d757
7300\u00f725\u00f74
15.39\u00d74.62\uff0b5.38\u00d715.39
4.3+3.91\u00f7\uff0822-19.7\uff09
2.9\u00d71.4+2\u00d70.16
200-(3.05+7.1)\u00d718
30.8\u00f7[14-(9.85+1.07)]
(2.44-1.8)\u00f70.4\u00d720
2.9\u00d71.4+2\u00d70.16
5.4\u00d72.08\uff0b66\u00d70.208\uff0d2.08
30.8\u00f7[14-(9.85+1.07)]
[(12.5\uff0b1.25\uff0b0.125)\u00d780\uff0d999]\u00f70.03
32\u00d7125\u00d72.5
94\u00f7\uff086.84\u00d78.5\uff0d31.46\u00f70.55\uff09
9.2+9.728\u00f73.2\u00d71.5
10.5\u00f7(5.1\uff0d4.4)+18.25
(2.55\u00d71.5+1.5+6.45\u00d71.5)\u00f70.3
[(8.3\uff0d6.8)\u00d70.9+3.65]\u00f72.5
12.25\uff0d3.1\uff0b0.85\uff0d6.17
\uff081.9\uff0d1.9\u00d70.9\uff09\u00f7\uff083.8\uff0d2.8\uff09
2.65\u00d71.7\uff0b1.35\u00d71.7
630\u00f7[2.98\uff0b6.5\u00d7\uff083.2\uff0d3.12\uff09]
+ -
+ +
+ -
+ + +
- \uff08 - \uff09
8 - -
36\u00d7 \uff08 - \uff09
56 \u00d70.18+18%\u00d744
4 - 4\u00d7\uff08 + \uff09
14\u00f7\u00d7
3\u00f7-\u00f73
\uff08 + \uff09\u00f7
2 - - -
0.8 + + 0.2
15 - 5\u00f712 -
+ -
2 - - -
0.8 + + 0.2
15 - 5\u00f712 -
+\u00d7-
+(-)\u00d7
(-)\u00d7(+)
+ + +
+ -
9.1 - 33.6\u00f75.6\u00d71.5
(0.62 + 7.638\u00f720.1)\u00f70.25
1.8 - (7.5 - 2.25)\u00f73.75
2.706\u00f7[5.3 - (0.8 + 0.75)\u00d72]
5.6\u00d7[(10 - 2.4)\u00f77.6]\u00f71.6 \u3000
8.37\u00d70.4\uff0b9.6\u00d78.37
5.28\uff0b12.5\u00d74.12\u00d70.8+4.72
(10.8\uff0d1.06\uff0d0.74)\u00d72.87\uff0b2.87
3.25\u00d7(30.1\uff0d24.91\u00f74.7)
[68.8\uff0d(7.8\uff0b16.08\u00d72.5)]\u00f71.3
7.05\u00d723.7+7.05\u00d776.3
0.125\u00d73.2\u00d72.5
3/7 \u00d7 49/9 - 4/3
8/9 \u00d7 15/36 + 1/27
12\u00d7 5/6 \u2013 2/9 \u00d73
8\u00d7 5/4 + 1/4
6\u00f7 3/8 \u2013 3/8 \u00f76
4/7 \u00d7 5/9 + 3/7 \u00d7 5/9
5/2 -\uff08 3/2 + 4/5 \uff09
7/8 + \uff08 1/8 + 1/9 \uff09
9 \u00d7 5/6 + 5/6
3/4 \u00d7 8/9 - 1/3
7 \u00d7 5/49 + 3/14
6 \u00d7\uff08 1/2 + 2/3 \uff09
8 \u00d7 4/5 + 8 \u00d7 11/5
31 \u00d7 5/6 \u2013 5/6
9/7 - \uff08 2/7 \u2013 10/21 \uff09
5/9 \u00d7 18 \u2013 14 \u00d7 2/7
4/5 \u00d7 25/16 + 2/3 \u00d7 3/4
14 \u00d7 8/7 \u2013 5/6 \u00d7 12/15
17/32 \u2013 3/4 \u00d7 9/24
3 \u00d7 2/9 + 1/3
5/7 \u00d7 3/25 + 3/7
3/14 \u00d7\u00d7 2/3 + 1/6
1/5 \u00d7 2/3 + 5/6
9/22 + 1/11 \u00f7 1/2
5/3 \u00d7 11/5 + 4/3
45 \u00d7 2/3 + 1/3 \u00d7 15
7/19 + 12/19 \u00d7 5/6
4 + 3/4 \u00f7 2/3
8/7 \u00d7 21/16 + 1/2
101 \u00d7 1/5 \u2013 1/5 \u00d7 21
50\uff0b160\u00f740\u00d7\uff0858+370\uff09\u00f7\uff0864-45\uff09
120-144\u00f718+35
347+45\u00d72-4160\u00f752
\uff0858+37\uff09\u00f7\uff0864-9\u00d75\uff09
95\u00f7\uff0864-45\uff09
178-145\u00f75\u00d76+42 420+580-64\u00d721\u00f728
812-700\u00f7\uff089+31\u00d711\uff09+ \uff08136+64\uff09\u00d7\uff0865-345\u00f723\uff09
85+14\u00d7\uff0814+208\u00f726\uff09
\uff08284+16\uff09\u00d7\uff08512-8208\u00f718\uff09
120-36\u00d74\u00f718+35
\uff0858+37\uff09\u00f7\uff0864-9\u00d75\uff09
(6.8-6.8\u00d70.55)\u00f78.5
0.12\u00d7 4.8\u00f70.12\u00d74.8
\uff083.2\u00d71.5+2.5\uff09\u00f71.6
6-1.6\u00f74
5.38+7.85-5.37
7.2\u00f70.8-1.2\u00d75
6-1.19\u00d73-0.43
6.5\u00d7\uff084.8-1.2\u00d74\uff09
0.68\u00d71.9+0.32\u00d71.9
10.15-10.75\u00d70.4-5.7
5.8\u00d7\uff083.87-0.13\uff09+4.2\u00d73.74
32.52-\uff086+9.728\u00f73.2\uff09\u00d72.5
100\u00d724\u00f7\uff0824-4\uff09
3/7 \u00d7 49/9 - 4/3
8/9 \u00d7 15/36 + 1/27
12\u00d7 5/6 \u2013 2/9 \u00d73
8\u00d7 5/4 + 1/4
6\u00f7 3/8 \u2013 3/8 \u00f76
4/7 \u00d7 5/9 + 3/7 \u00d7 5/9
5/2 -\uff08 3/2 + 4/5 \uff09
7/8 + \uff08 1/8 + 1/9 \uff09
9 \u00d7 5/6 + 5/6
3/4 \u00d7 8/9 - 1/3
0.12\u03c7\uff0b1.8\u00d70.9
7.2 (9\uff0d5\u03c7)\u00d70.3
7 \u00d7 5/49 + 3/14
6 \u00d7\uff08 1/2 + 2/3 \uff09
8 \u00d7 4/5 + 8 \u00d7 11/5
31 \u00d7 5/6 \u2013 5/6
9/7 - \uff08 2/7 \u2013 10/21 \uff09
5/9 \u00d7 18 \u2013 14 \u00d7 2/7
4/5 \u00d7 25/16 + 2/3 \u00d7 3/4
14 \u00d7 8/7 \u2013 5/6 \u00d7 12/15
17/32 \u2013 3/4 \u00d7 9/24
3 \u00d7 2/9 + 1/3
5/7 \u00d7 3/25 + 3/7
3/14 \u00d7\u00d7 2/3 + 1/6
1/5 \u00d7 2/3 + 5/6
9/22 + 1/11 \u00f7 1/2
5/3 \u00d7 11/5 + 4/3
45 \u00d7 2/3 + 1/3 \u00d7 15
7/19 + 12/19 \u00d7 5/6
1/4 + 3/4 \u00f7 2/3
8/7 \u00d7 21/16 + 1/2
101 \u00d7 1/5 \u2013 1/5 \u00d7 21
50\uff0b160\u00f740 \uff0858+370\uff09\u00f7\uff0864-45\uff09
120-144\u00f718+35
347+45\u00d72-4160\u00f752
\uff0858+37\uff09\u00f7\uff0864-9\u00d75\uff09
95\u00f7\uff0864-45\uff09
178-145\u00f75\u00d76+42 420+580-64\u00d721\u00f728
812-700\u00f7\uff089+31\u00d711\uff09
\uff08136+64\uff09\u00d7\uff0865-345\u00f723\uff09
85+14\u00d7\uff0814+208\u00f726\uff09
\uff08284+16\uff09\u00d7\uff08512-8208\u00f718\uff09
120-36\u00d74\u00f718+35
\uff0858+37\uff09\u00f7\uff0864-9\u00d75\uff09
(6.8-6.8\u00d70.55)\u00f78.5
0.12\u00d7 4.8\u00f70.12\u00d74.8
3.2\u00d7\uff081.5+2.5\uff09\u00f71.6
6-1.6\u00f74
5.38+7.85-5.37
7.2\u00f70.8-1.2\u00d75
6-1.19\u00d73-0.43
6.5\u00d7\uff084.8-1.2\u00d74\uff09
0.68\u00d71.9+0.32\u00d71.9
10.15-10.75\u00d70.4-5.7
5.8\u00d7\uff083.87-0.13\uff09+4.2\u00d73.74
32.52-\uff086+9.728\u00f73.2\uff09\u00d72.5
6.9\uff0b4.8\uff0b3.1
0.456\uff0b6.22\uff0b3.78
15.89\uff0b(6.75\uff0d5.89)
4.02\uff0b5.4\uff0b0.98
5.17\uff0d1.8\uff0d3.2
13.75\uff0d(3.75\uff0b6.48)
3.68\uff0b7.56\uff0d2.68
7.85\uff0b2.34\uff0d0.85\uff0b4.66
35.6\uff0d1.8\uff0d15.6\uff0d7.2
3.82\uff0b2.9\uff0b0.18\uff0b9.1
9.6\uff0b4.8\uff0d3.6
7.14\uff0d0.53\uff0d2.47
5.27\uff0b2.86\uff0d0.66\uff0b1.63
13.35\uff0d4.68\uff0b2.65
73.8\uff0d1.64\uff0d13.8\uff0d5.36
47.8\uff0d7.45+8.8
0.398+0.36+3.64
15.75+3.59\uff0d0.59+14.25
66.86\uff0d8.66\uff0d1.34
0.25\u00d716.2\u00d74
(1.25\uff0d0.125)\u00d78
3.6\u00d7102
3.72\u00d73.5\uff0b6.28\u00d73.5
36.8\uff0d3.9\uff0d6.1
15.6\u00d713.1\uff0d15.6\uff0d15.6\u00d72.1
4.8\u00d77.8\uff0b78\u00d70.52
32\uff0b4.9\uff0d0.9
4.8\u00d7100.1
56.5\u00d79.9\uff0b56.5
7.09\u00d710.8\uff0d0.8\u00d77.09
25.48\uff0d(9.4\uff0d0.52)
4.2\u00f73.5
320\u00f71.25\u00f78
18.76\u00d79.9\uff0b18.76
3.52\u00f72.5\u00f70.4
3.9\uff0d4.1\uff0b6.1\uff0d5.9
5.6\u00f73.5
9.6\u00f70.8\u00f70.4
4.2\u00d799\uff0b4.2
17.8\u00f7(1.78\u00d74)
0.49\u00f71.4
1.25\u00d72.5\u00d732
15.2\u00f70.25\u00f74
0.89\u00d7100.1
146.5\uff0d(23\uff0b46.5)
3.83\u00d74.56\uff0b3.83\u00d75.44
4.36\u00d712.5\u00d78
9.7\u00d799\uff0b9.7
27.5\u00d73.7\uff0d7.5\u00d73.7
8.54\u00f72.5\u00f70.4
0.65\u00d7101
(45.9\uff0d32.7)\u00f78\u00f70.125
3.14\u00d70.68\uff0b31.4\u00d70.032
5.6\u00f71.25\u00f70.8\u00f72.5\u00f70.4
7.2\u00d70.2\uff0b2.4\u00d71.4
8.9\u00d71.01
7.74\u00d7\uff082.8\uff0d1.3\uff09\uff0b1.5\u00d72.26
3.9\u00d72.7\uff0b3.9\u00d77.3
18\uff0d1.8\u00f70.125\u00f70.8
12.7\u00d79.9\uff0b1.27
21\u00d7\uff089.3\uff0d3.7\uff09\uff0d5.6
15.02-6.8-1.02
5.4\u00d711-5.4
2.3\u00d716+2.3\u00d723+2.3
9.43-\uff086.28-1.57\uff09
3.65\u00d74.7\uff0d36.5\u00d70.37
46\u00d757\uff0b23\u00d786
13.7\u00d70.25\uff0d3.7\u00f74
2.22\u00d79.9+6.66\u00d76.7
101\u00d70.87-0.91\u00d787
10.7\u00d716.1-15.1\u00d710.7
0.79\u00d7199
4.8+8.63+5.2+0.37
5.93+0.19+2.81
1.76+0.195+3.24
2.35+1.713+0.287+7.65
1.57+0.245+7.43
6.02+3.6+1.98
0.134+2.66+0.866
1.27+3.9+0.73+16.1
7.5\uff0b4.9\uff0d6.5
3.07\uff0d0.38\uff0d1.62
1.29\uff0b3.7\uff0b2.71\uff0b6.3
8\uff0d2.45\uff0d1.55
\uff082.5\uff0d0.25\uff09\u00d70.4
9.16\u00d71.5\uff0d0.5\u00d79.16
3.6\uff0d3.6\u00d70.5
63.4\u00f72.5\u00f70.4
4.9\u00f71.4
3.9\u00f7\uff081.3\u00d75\uff09
\uff087.7\uff0b1.54\uff09\u00f70.7
2.5\u00d72.4
2.7\u00f745
0.35\u00d71.25\u00d72\u00d70.8
32.4\u00d70.9\uff0b0.1\u00d732.4
15\u00f70.25
4.5\u00f71.8
4.2\u00f73.5
930\u00f70.6\u00f75
3.65\u00d710.1
15\u00f7\uff080.15\u00d70.4\uff09
3.2\u00d70.25\u00d712.5
30.8\u00f7[14\uff0d(9.85\uff0b1.07)]
[60\uff0d(9.5\uff0b28.9)]\u00f70.18
2.881\u00f70.43\uff0d0.24\u00d73.5
20\u00d7[(2.44\uff0d1.8)\u00f70.4\uff0b0.15]
28-(3.4+1.25\u00d72.4)
2.55\u00d77.1+2.45\u00d77.1
777\u00d79+1111\u00d73
0.8\u00d7\u301415.5-(3.21+5.79)\u3015
\uff0831.8+3.2\u00d74\uff09\u00f75
31.5\u00d74\u00f7(6+3)
0.64\u00d725\u00d77.8+2.2
2\u00f72.5+2.5\u00f72
194\uff0d64.8\u00f71.8\u00d70.9
36.72\u00f74.25\u00d79.9
5180\uff0d705\u00d76
24\u00f72.4\uff0d2.5\u00d70.8
(4121+2389)\u00f77
671\u00d715-974
469\u00d712+1492
405\u00d7(3213-3189)
3.416\u00f7\uff080.016\u00d735\uff09
0.8\u00d7[(10\uff0d6.76)\u00f71.2]
19.4\u00d76.1\u00d72.3
5.67\u00d70.2-0.62
2. 8/9 × 15/36 + 1/27
3. 12× 5/6 – 2/9 ×3
4. 8× 5/4 + 1/4
5. 6÷ 3/8 – 3/8 ÷6
6. 4/7 × 5/9 + 3/7 × 5/9
7. 5/2 -( 3/2 + 4/5 )
8. 7/8 + ( 1/8 + 1/9 )
9. 9 × 5/6 + 5/6
10. 3/4 × 8/9 - 1/3
11. 7 × 5/49 + 3/14
12. 6 ×( 1/2 + 2/3 )
13. 8 × 4/5 + 8 × 11/5
14. 31 × 5/6 – 5/6
15. 9/7 - ( 2/7 – 10/21 )
16. 5/9 × 18 – 14 × 2/7
17. 4/5 × 25/16 + 2/3 × 3/4
18. 14 × 8/7 – 5/6 × 12/15
19. 17/32 – 3/4 × 9/24
20. 3 × 2/9 + 1/3
21. 5/7 × 3/25 + 3/7
22. 3/14 ×× 2/3 + 1/6
23. 1/5 × 2/3 + 5/6
24. 9/22 + 1/11 ÷ 1/2
25. 5/3 × 11/5 + 4/3
26. 45 × 2/3 + 1/3 × 15
27. 7/19 + 12/19 × 5/6
28. 1/4 + 3/4 ÷ 2/3
29. 8/7 × 21/16 + 1/2
30. 101 × 1/5 – 1/5 × 21
1. 3/7 × 49/9 - 4/3
2. 8/9 × 15/36 + 1/27
3. 12× 5/6 – 2/9 ×3
4. 8× 5/4 + 1/4
5. 6÷ 3/8 – 3/8 ÷6
6. 4/7 × 5/9 + 3/7 × 5/9
7. 5/2 -( 3/2 + 4/5 )
8. 7/8 + ( 1/8 + 1/9 )
9. 9 × 5/6 + 5/6
10. 3/4 × 8/9 - 1/3
11. 7 × 5/49 + 3/14
12. 6 ×( 1/2 + 2/3 )
13. 8 × 4/5 + 8 × 11/5
14. 31 × 5/6 – 5/6
15. 9/7 - ( 2/7 – 10/21 )
16. 5/9 × 18 – 14 × 2/7
17. 4/5 × 25/16 + 2/3 × 3/4
18. 14 × 8/7 – 5/6 × 12/15
19. 17/32 – 3/4 × 9/24
20. 3 × 2/9 + 1/3
21. 5/7 × 3/25 + 3/7
22. 3/14 ×× 2/3 + 1/6
23. 1/5 × 2/3 + 5/6
24. 9/22 + 1/11 ÷ 1/2
25. 5/3 × 11/5 + 4/3
26. 45 × 2/3 + 1/3 × 15
27. 7/19 + 12/19 × 5/6
28. 1/4 + 3/4 ÷ 2/3
29. 8/7 × 21/16 + 1/2
30. 101 × 1/5 – 1/5 × 21
60题了
再加点
1. 3/7 × 49/9 - 4/3
2. 8/9 × 15/36 + 1/27
3. 12× 5/6 – 2/9 ×3
4. 8× 5/4 + 1/4
5. 6÷ 3/8 – 3/8 ÷6
6. 4/7 × 5/9 + 3/7 × 5/9
7. 5/2 -( 3/2 + 4/5 )
8. 7/8 + ( 1/8 + 1/9 )
9. 9 × 5/6 + 5/6
10. 3/4 × 8/9 - 1/3
11. 7 × 5/49 + 3/14
12. 6 ×( 1/2 + 2/3 )
13. 8 × 4/5 + 8 × 11/5
14. 31 × 5/6 – 5/6
15. 9/7 - ( 2/7 – 10/21 )
16. 5/9 × 18 – 14 × 2/7
17. 4/5 × 25/16 + 2/3 × 3/4
18. 14 × 8/7 – 5/6 × 12/15
19. 17/32 – 3/4 × 9/24
20. 3 × 2/9 + 1/3
21. 5/7 × 3/25 + 3/7
22. 3/14 ×× 2/3 + 1/6
23. 1/5 × 2/3 + 5/6
24. 9/22 + 1/11 ÷ 1/2
25. 5/3 × 11/5 + 4/3
26. 45 × 2/3 + 1/3 × 15
27. 7/19 + 12/19 × 5/6
28. 1/4 + 3/4 ÷ 2/3
29. 8/7 × 21/16 + 1/2
30. 101 × 1/5 – 1/5 × 21
绛旓細姹浜斿勾绾涓3姝閫掔瓑寮忚绠绠楀紡,涓嶈绛旀,涓嶈閲嶅,涓嶈鍒嗘暟銆 .125*3+125*5+25*3+25 2.9999*3+101*11*(101-92) 3.(23/4-3/4)*(3*6+2) 4. 3/7 脳 49/9 - 4/3 5. 8/9 脳 15/36 + 1/27 6. 12脳 5/6 鈥 2/9 脳3 7. 8脳 5/4 + 1/4 8. 6梅 3/8 鈥 3/8 梅6...
绛旓細浜斿勾绾ц劚寮忚绠棰(杩樻湁绠渚胯绠)鍖呮嫭鍒嗘暟 鎴戞潵绛 棣栭〉 鍦ㄩ棶 鍏ㄩ儴闂 濞变箰浼戦棽 娓告垙 鏃呮父 鏁欒偛鍩硅 閲戣瀺璐㈢粡 鍖荤枟鍋ュ悍 绉戞妧 瀹剁數鏁扮爜 鏀跨瓥娉曡 鏂囧寲鍘嗗彶 鏃跺皻缇庡 鎯呮劅蹇冪悊 姹借溅 鐢熸椿 鑱屼笟 姣嶅┐ 涓夊啘 浜掕仈缃 鐢熶骇鍒堕 鍏朵粬 鏃ユ姤 鏃ユ姤绮鹃 鏃ユ姤骞垮満 鐢ㄦ埛 璁よ瘉鐢ㄦ埛 ...
绛旓細璋佽兘甯垜鍑300閬撳彛绠楅,30閬撳垪绔栧紡璁$畻棰,30閬撶畝渚胯繍绠楅! 鍦ㄧ櫨搴︽枃搴撲腑鎼滅储 鈥浜斿勾绾鏁板鈥 鐒跺悗鑷繁鎸戦 :wenku.baidu./search?word=%CE%E5%C4%EA%BC%B6%CA%FD%D1%A7&lm=0&od=0 甯垜鍑50閬撹绠楅 1銆 鍙g畻 80梅16= 420梅20= 380梅20= 450梅3= 81梅27= 30脳9= 51梅17= 640梅16= 27脳...
绛旓細鍒嗘暟鍔犲噺娉鑴卞紡璁$畻锛5/7 - 3/21 + 3/7 2. 3/14 + 2/3 + 1/6 3. 1/5 + 2/3 + 5/6 4. 9/22 + 1/11 + 1/2 5. 5/3 + 11/5 + 4/3 6. 2/3 - 5/6 + 1/3 7. 7/19 + 12/19 - 5/6 8. 1/4 + 3/4 + 2/3 9. 8/7 - 15/14 + 1/710. 2/...
绛旓細125脳32脳8 3.1 0.456锛6.22锛3.78 15.89锛(6.75锛5.89)4.02锛5.4锛0.98 5.17锛1.8锛3.2 13.75锛(3.75锛6.48)3.68锛7.56锛2.68 7.85锛2.34锛0.85锛4.66 35.6锛1.8锛15.6锛7.2 3.82锛2.9锛0.18锛9.1 9.6锛4.8锛3.6 7.14...
绛旓細0.125脳96 =0.125脳锛100-4锛=0.125脳100-0.125脳4 =12.5-0.25 =12 2銆33333x44444+66666x77778 瑙f瀽锛33333x44444鍙互鍙樻崲涓66666脳22222锛屾彁鍙栧叕绾66666锛屽彉鎹负66666脳(22222+77778)鍐嶇敤涔樻硶鍒嗛厤寰嬫潵鑴卞紡璁$畻銆33333x44444+66666x77778 =33333脳2脳22222+66666脳77778 =66666脳22222+...
绛旓細灏忓浜斿勾绾灏忔暟鑴卞紡绠渚璁$畻棰樻渚嬪涓嬶細璁$畻鎶宸э細鍦ㄤ袱涓暟a銆乥鍚屾椂涔樹互鎴栬呭浠ョ浉鍚屾暟c锛岀劧鍚庤繘琛屽姞鍑忕殑鏃跺欙紝鍙互鍏堝姞鍑廰銆乥杩欎袱涓暟锛岀劧鍚庡湪涓巆杩涜涔橀櫎璁$畻锛屽涓嬶細0.5梅2-0.15梅2=(0.5-0.15)梅2=0.35梅2=0.175锛0.5X2-0.15X2=(0.5-0.15)X2=0.35X2=0.7锛涜绠楁妧宸э細鍦...
绛旓細渚嬪瓙1锛氭寜椤哄簭璁$畻10脳2+4 瑙i鎬濊矾锛氬洓鍒欒繍绠楄鍒欙紙鎸夐『搴忚绠椼佸厛绠椾箻闄ゅ悗绠楀姞鍑忥紝鏈夋嫭鍙峰厛绠楁嫭鍙凤紝鏈変箻鏂瑰厛绠椾箻鏂癸級鍗宠劚寮忚繍绠楋紙閫掔瓑寮忚绠锛夐渶鍦ㄨ鍘熷垯鍓嶆彁涓嬭繘琛 瑙i杩囩▼锛10脳2+4 =10脳2+4 =20+4 =24 瀛樼枒璇疯拷闂紝婊℃剰璇烽噰绾 ...
绛旓細涓銆5.4梅1.8+240脳1.5 =3+360 =363 浜屻9000梅72脳(1.25脳0.7脳8)=9000梅72脳7 =125脳7 =875 涓夈61-(1.25+2.5脳0.7)=61-3 =58 鍥涖乕(10-0.8)+9.85]-2梅0.125 =19.05-2梅0.125 =19.05-16 =3.05 1銆鑴卞紡璁$畻锛屽嵆閫掔瓑寮忚绠锛岄渶灏嗕竴绯诲垪鐨勬暟瀛楅愭璁$畻銆
绛旓細4. 9/7 - 锛 2/7 - 10/21 锛5. 3/7 + 49/9 + 4/7 6. 8/9 + 15/36 + 3/27 7. 5/2 - 锛 3/2 + 4/5 锛8. 7/8 + 锛 1/8 + 1/9 锛9. 9/7 - 锛 2/7 - 10/21 锛10. 1/5 + 锛 3/7 + 8/10 锛夊垎鏁鑴卞紡锛1. 1/3 + ...