[b]ASESMEN DIAGNOSTIK NON-KOGNITIF[br][/b]Isilah pertanyaan berikut dengan jujur ya. Jawabanmu akan membantu guru memahami kamu dengan lebih baik. Tidak ada jawaban benar atau salah
Bagaimana perasaanmu saat harus belajar matematika hari ini?
Seberapa yakin kamu bisa mengerjakan soal statistika dengan baik?
Seberapa besar keinginanmu untuk memahami materi statistika?
Di mana kamu biasanya belajar di rumah?[br]
Cara belajar yang paling cocok untukmu adalah...[br]
Apa kendala terbesar kamu saat belajar matematika?
Berapa lama kamu biasanya belajar matematika di luar jam sekolah dalam sehari?
Menurutmu, apa yang perlu kamu tingkatkan agar lebih berhasil dalam belajar statistika?[br](Tuliskan secara singkat)
Apa yang paling ingin kamu pelajari atau pahami dari materi statistika?[br](Tuliskan harapanmu)
[b]ASESMEN DIAGNOSTIK KOGNITIF[br][/b]Kerjakan soal berikut untuk mengetahui pemahaman awalmu. Hasilnya tidak memengaruhi nilai akhir.
Data berat badan 7 murid (kg): 45, 52, 48, 60, 55, 49, 53[br]a. Hitung jumlah seluruh data tersebut![br]b. Jika nilai tersebut dibagi sama rata, berapa nilai yang diperoleh masing-masing?[br]c. Jelaskan langkahmu![br][br][br]
Nilai kuis 9 murid: 72, 85, 68, 91, 75, 80, 70, 88, 65[br]Urutkan dari TERKECIL ke TERBESAR: ___ , ___ , ___ , ___ , ___ , ___ , ___ , ___ , ___ [br]Nilai yang tepat berada DI TENGAH (posisi ke-5) adalah: ___________[br][br]
Membaca Tabel[br][img]data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABJoAAADDCAYAAADKp3uqAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAEY/SURBVHhe7d1/fBTVvf/xd4qIUCMsgdYIgmTBFpQGMYBK8FaLJArFH2gT8H6rFFQSerUXL6ABW1sBSbS09covlaLtVxOqtooSAljbr4m0IRGTFsUfJCCisSXrmqIgYrvfP8xMZ87O5uckJOH1fDz2we45s5th95w5Zz5z5py4SCQSEQAAAAAAANBKXzITAAAAAAAAgJaIO+OaBYxoAgAAAAAAQKsxogkAAAAAAAC+INAEAAAAAAAAXxBoAgAAAAAAgC8INAEAAAAAAMAXBJoAAAAAAADgCwJNAAAAAAAA8AWBJgAAAAAAAPiCQBMAAAAAAAB8QaAJAAAAAAAAviDQBAAAAAAAAF8QaAIAAAAAAIAvCDQBAAAAAADAFwSaAAAAAAAA4AsCTQAAAAAAAPAFgSYAAAAAAAD4gkATAAAAAAAAfEGgCQAAAAAAAL4g0AQAAAAAAABfEGgCAAAAAACALwg0AQAAAAAAwBdxZ1yzIGImdlYlD87XkMR+ZrK2lr2umcsfM5OBLuu9p3PNJEnSgGkLzSQAPps1ebx+8r2pZrJEHQRiWn/HDZo0ZoSZTB8OXU6s85Uf/nKj1m162UwG2hXlE35ps0DT/MxJujh5mBITeisxobcrb29NrT797Jhef+cD3fqLAldea4wbPkSLv3uFRp89yJVOJwXHW6wOtMXvMjp1fLJ+eMPkqLrHSS7a05LZV+qCEUN0et/eCsT3cuVZ7cC7fw/rrnUbdeBg2JXf2c3PnKRbpl6snj26u9KpgzA11j54qQnVqSZUp8qqA1r8yLNmdqc0sH9AC2akadrF57nS/W4f0bk0Vj/Wb97eaB3Y88SSqGOx5XiUr1jnK5zId02drQxTPuEX32+dmzV5vHY9+iP94LpvafTZg6JOdCVpSGI/DR+cGNWZaK3S3XuVteIJMxk47u5at1Elf91jJkuSSv66R3et22gmt8rGlyu1/bVqM7lTe+/pXPtR8uB8MxsdyPzMSdr16I808/KLNHxwYlSQSY52YNKYEUobG7sD1lndV7BVr7z1jpkMRLlr3UY9/dKrZnKDEhN6a/TZgzTz8otU/lCOBvYPmJt0OgcOhnXrLwp05OgxMwsnsLvWbdTWstfNZNsFI4aYSS7zMyfFPEFvi/5XU5Tu3quHny8xk9FFdbYyTPmEX3wNNC2ZfaV+8r2prpOKrWWv65rFazRg2kJds3hNgxXND13tqji6hgMHw8q4+2EzWZKUcffDbVJuK/e8ayYBbW5+5iT94Lpv2e3AkaPHtH7zdo2bs9xuB2IFXbuaw59+ZiYBUawAS/jQYTNLA6YttB/j5izXz5/8vWpCda5tEhN6q+BHs11pndkHH7r/fzixHTgYbnC0xvDBiQ0GWhu6kNFW/a+m2PhypZmELqozlmHKJ/zgW6BpfuYkzbz8Ilfa+s3bNXP5YyrdvVeqj5DOXP6Ydr9T49oOABoydXyymYQO6ob0C12vC14s0+JHnrU7QqW79yrj7oe18639ru2AE91HH0cHmpwOHAzrvoKtumrR6qhRP0MS+zV4ogJ0ZXOuvNhMkupvxxw+ONFMBjocyjC6Il8CTQP7B3TLVHcF2VtTG/N+0wee/oOZBAAxXT1hlJmEDmjW5PFRt8ntral1vbYs+VWhmQSgCQ4cDHuO+mnoqjfQVXhdrI5169GCGWlS/chacyQgcLxQhnGi8GUy8Aduy4yab+nnT/5e9xVsdaU1R6zJxGtCddr+WnWDk4ibK25Zk6QtmX2lvjnqbHsm/SNHj2n3OzVa8qtCe9RVLFPHJ+v6y8ZqQL8+rpn4w4cO67V97+v2lU9FDV2MtfJQTahOKTcvsydbG5LYzz452/1OjR54+g8NDlm0JswcPexMnd63d8z7dp2YwK1jMMumGpkceGD/gOZcebHnhMq736nRlh2vx6xnXuXP+bcam5zQa3LBlu5PQytYbNnxuu6ZNVUjkwbYdf3I0WOat/JJ7Xxrv+fksF68ynhL6i1azqvMNactiFUmnWXR629YnOU71nZ7a2qV+v37NGvyeE3/1hiddXo/+xi68639+vadK13bjxs+RNdPGhd1vLXaj4efL4l5vPb6/wyYttDz2F8TqlPRjtdiXqCxNHd/YtU9i/M78zo+yaNutaZ9Rmxev1Ws9sFr26wVT3iWxeaWGYvX35CjTpt9qvChwyp7Y19Uu+Fl1uTxuip1lKsOqL5+9jm1V9QUDM7P9KpX8vk4QT+t47GOT1vLXnf1Fyzj5iyPas/LH8pRYkJv7XxrvwLxvaLKc6z6ZfEqp0eOHtO+D2r159f3Nnq8lmNRDGdbY32GOVKlsTLQkmNvrPpS8tc9yrj74ai20DouZK14Iur7ROu0dxluaZ/dYvYJnOUz1rHTYvW1TC0pw05WnTTfL8eFzfWbt3vWo1gL1Bw5ekwffFinTz87pkUPP+sZE2hpO2p+h5ZYfcHwocM698Yfm5t3Wt3ih4+/20xsrntmTVV8r1NcadN+uNb1uinGDR+iNbdfr3tmXakJ3xiqU07urlfffld1nxxRn1N7qftJ3RTf6xSNGJyoKy44V7/a8mfzIyRJt2dc5nr92eef69Zpl2rCN4a5Clb3k7opMaG3po5P1r4PQnrz3b+53jewf0C/uDVDS2dfpWu/OVr9+8TrzXf/pv1//1DxvU5Rzx7d1bNHdw36al9d+x+jtfHlv+gfhz+13//q2++q72lf1nnDznR9bm3dx5rwjWHK+T+XKzHB3QHp3ydeUy4cqT3vHYzaH9WfOK+/4waNPnuQAvG99Pk//6XS3XtVW/dxVIULHzqsDz6sUyC+l/7w6pt69W3m7DnezLIpSSt+84KZpFmTx+u+rGm68z8v13nDztTHR47qr9Xv6bPPP1f/PvFSfVm54JwknZXYT5tLd5kfodFnD9Il533Nleb8W8+WVGpk0gAFB/R3bXPk6DH9322luu2BDXZaa/fntb01Gjv8LFf9k6R9H4R0f/a1+vqg013HkO4nddOO3Xu1dPaVuujcoOs9sVhlvLX1Fi3nVeYGn56gwj/vatJ3/Mqb+3W+xyISVe8f1LMlXzTgVptwwYgkdT+pm2s7Z/mOdfzdW1OrWZPH6zuXpKh/n3jXZ3z62TH9snC7VN8hyZszTbOnpGrE4ETtranVG/s/UK9TTlZ8r1Ps9qOh4/VVqaOi6tfIpAGex/74XqfovGFn6pLzvqb835e53qNW7M/Wst2acuHIqDY6fOiw7n18s6tdePmvVZo0ZoRrv55+6VUt+/Vm39pnxPa9K6JHBHq1D/LYNnzosG77338fs9WKMmOJddx+L1Sne2ZNjepT9ezRXcEB/Rv9/Z+7d65mTBxr14GaUJ3+9Fq1Pvv8cw0b+NWooIyz/qudjhP00zoeq/9U82Gd3tj/N40wgjQndfuSXtz5pv163PAhmj0lVZK0+tn/p/OGnRlVlmPVr4H9A/rtkjn6ziUp9m9m/YaDvtpX/fvE67xhZ2rGxLEx27eB/QN68efzNOEbw+y2Zvc7NXr17XfV+8s9owIGcvRjnFp77H3lzf0aPvh0DfpqX1f6/r9/qDlTL45qC63jAv0j/7VXGW5tn91inrM4y6dVBs0+n+oDaXN/lm+XndaWYXnUyfhep9j1yfp/BeK/uEhx7PN/utqMqeOT9fhds+y6KEl/rX5Pf61+T71OOdl+X/8+8Xpt3/uuOtjadrTukyMaNfRMVxtSE6rTheckebYvPXt09/xNO6tW3zo3sH8gquFs6dC+3y6Zo9FnD1LPHt0VPnRY6fMf0Mzlj+nbd67UvY9vdm07fHCiZk0e70qLZfjgRH308WF7UvL1m784kbD07NFdy266ypUmSQU/mq1JY0bYlXreyieVcffDyrj7YaXPf8A1R0IgvpfumRUd2V38yLNRt44MSeynCd8Yph/+cqMGTFuorBVPRM23cOu0S1yvVf9dr5h7nesgY+3Tt+9cGbVqzaefHVPq9+/TgGkLPSO76JisqwTWla7d79Qo9fv3aebyxzRx3s+jJtS/Yty5LZ6bw7zyXBOq07yVT7qu0vmxP6W790bVO0maeflFKizdpQHTFkaVX0l2+TXr0N6aWg1wTJLrLON+1Fu0zK7q980kJSb0VtF9t2p+5iQzK8qBg+GoEUVe1m16Wfs+8L4lz8nr+Dv67EHqc2ovXbN4jcbNWe45AfP6O27QzMsvstu2p196Vd++c6VmLn9MKTcvi/rMBdMb/79ZJnxjmNZv3q4B9ROjm581+uxBWjL7Sldaa/bnwMGw5v4s35Wv+vmAzHahdPdelb2xz369tex1++piW7XPaL6p45OjTlIfK/qT63Vryowl1nF72sXnqSZUZ0/wb863NnxwYsx59Z67d65ryezd79Qo5eZlMdsTL+1xnKCf1nEN6NdHj28tNZOjbj2alzFRqg/mNfe7fWZplt3nsUZYe/2GiTEm4h/YP6Bnlma5zo+efulVTZz385h1MJbWHnsPHPRejCZ15FC7LfQ6NwrE97Jv24K/2rIM+9Fnb6p1m152leMjR4/p50/+XjOXP+YamdXaMixJq+fNcI0AdNanifN+HlV+nZbddJWrLs5b+aSrPTTbMIsf7ei6TS+7+lWqP24425fdHrdSdhWtDjR5zQnw6WetX5r2mZIKVyFdt+nlqBOC1JFDXa9j2VtTq4nzfm4PhVv8yLNRqx4F4ns1eCK08639riFxBw6GowrGsIFfcb1uyLyVT9oHjY0vV0Ytg20Op1X9fbrOqOfemlrXPuU9scV+rvqC3ND/CZ3DoofdQ7PXPPuS63XPHt0962FTOMvHkaPHNPdn+Z5DP5383J+Sv+6xT2RjrbrUGn7XWzSsdPfeqO9X9cfXH1z3LZU8ON+zA9ES7/695UP6r1q0WqW79+rAwbCeKakws13Chw5HDeX+Y8VbrtfmSX9D7n18sx3ILd29V5k/fsTcROljzzGTbC3ZH6/fpc+p7quill6nnCzVHw9iLZnsZ/uMphs3fIiWzL5SK+ZeZ6cdqV/VsaHbH1pSZhqy+50affvOlXYZyFrxhLmJ57x6syaPdwWZ5NGexCpzLdWa4wT9tI6rdPfeqJO84cbKXeecdYYkRZ3kNWb9HTe4Tkpfeesd129o1qUhif2i2rV7Zk11fYZXHXSOuGgqP4+94UOH7bZQ9edG5kCB0cZIP/inLcuwk3mMbU2f3TSwf8DVdqzd+FKDbZFaWIYH9g9EtR3mytpeFwxUf55jjgIzz3O8LiSYvOpwa9rRtRtfstsX8zfqSlodaPJiFpiWeO7lv5hJUSuyNPUE8e0DfzeT9Pi2HWaSLk4eZibZKqsOmEmqrfvY9bqpBczseEhS+RvuDowX84D/Xu1HrtcHDoajvvsRZ0V3hNB5hA8djrpX2Hwtj4NyUwzsH7BXCLOu2Hl9tpPf+2NeWfFqJFrDz3qLprnx3seiOquWIYn99JPvTVXJg/M1brj3xJdtbW9NrauT49XWOHmVSa8080QjFvOqpFfwMzGhd8zvx+tve6WZ+/Pn1931NBDfy/NvWB3b4r+87fqenLy+s5a2z2jYe0/n2o/fLpmjmZdfZAcydr61X9ffs67ReWK8yodXmllmYjFv7TxwMByzzjtN/9YY1+uaUF1U+9HUz2pr9NM6PvMkT46Vu2Y5FqYwT6wbM+Eb7nMBs58ij/pjzoFkfsZr+6JH+5r1qCn8PPaWvbEv6hhf9f5B12u0rbYqwxa/++ymR++8wX7e2AUPS0vKsFcgzGufrdGhzrs1vI6vZlt34GBYQ2csbnBkqVnnY6WZnx2L87sq3b03ql3oKtok0GSeyDWV8zYYr4rgJ7MDofqOt5NVYAdMW9hoR661Pjz0iZnkeRLgdPjTz8ykqMqKzmfdppftctdWE8JZw7oD8b3sIJNXnVA77Y/l23eutP9WrIN9Y9qz3iLagYNhXbVotWcDbBmS2E+P3zWrQ1zJL9291y4v1sSVM5c/Zqc15Rad1vIadXFu0hcBH/m0P14d1esnjXO9bqhja/39Ae3QPqNpEhN669vjv2EmSz6VmeYwR7L3632q67U8RgDFCiiZn9VR0E/rWMxjlBy3Hl2V+sWIOq9gZkNmTR4fNUeY1y3hpgH9+tjPvT7D64K3GeSJpT2PvWZ5jTXyFf5oizLcXn325+6dax/T12/e3mB/u7VleMuO6GDvpDEjtP6OGxq97e/1fdGj7O+8/vKoKQq8tGc7eu6NP7b/VlfSJoGmzsKMHp7e1z3X1PHmPNHwYt3i4HTKyY2vbIIT27jhQ1xzBxT/5e2YQSagJQ4cDCv1+/dp/ebtMYcj9+zRXT+47lsx53I5kZijHiQpeai/tyx4jZy66Jwk12urY7vzrf0t6gzCf84O+rg5y7V+83a775KY0FszL79IJQ/Ob7Sz3d7MC3de9bylFyU7Evppx4/XMc269cg6AS7a8ZorvzFeoyR+u2SOa2The0/nRo2Edp4/eB27G7rw0pGZ9Rj+aosy3NYG9g+45trbW1PbYJDJDwcOhqOmvFF9sOmPv7hdz907N2bQ/76CrVEXNXr26K6Zl1+kXY/+qEnBKrRcmwSazCFvLWGt2vHCih+o5MH5ngf21jKvKplXIJzGDR+iB27L1HP3zlXJg/O154klUUNl29pOYyWK4Bnu1YxU3/F0+l1xw/OPoOObnzlJ6++4QSUPzlf5Qzkxl8psCuv2C2c5mfCNYZ4nAbH4uT9trSPU2xPZ4kee1Tdv+6m2lr0eM+D0wxsmm0kdysD+AS2ZfaU23H2TSh6cr12P/qjBJX1bwuskJL5nDzNJauX+mLfPJSb0tjtYzjkQGpu3qj3aZ0Q7cDCsxY88G7WowZDEfp4TEltaU2b80r9P9Ainroh+Wvsyj2mqXxDE6s97jRhprq1lrzf6KP7L2/b2sY7dfuDY2/W0dRn2s8/+k+9NVemaO1zzJQ1J7Nek0UGWlpbhjLsf9py0u2eP7hp99iD9dskcbbj7Js+g0VWLVkcFm1QfSLWCVQ/clmlmu3SEdrQzapNAU2ssmX2ldj36I62eN0OTxoywI7pby16PGoHUHmZNHq+SB+frt0vmaNrF52n02YN0ysnd9cpb73ieHLSlvCe2uDqXiQm9XQECs5LUhOoYqdJJDewf0Po7btCeJ5boB9d9S5PGjNDpfXvro48Pe84X0FRby16PunrSs0f3Rk/222p/2kpHqrcnugMHw5q5/DF987afenYSzONYRzFu+BA9d+9cla65QzMvv8heoWdvTa3n/6Ot+bE/Xh1Waz4Ia3WhmlBdzNtWO1r7fKI6cDAcNTH1kMR+UfXIjzKD5qGf1r68jmnWSevOt/Y3+fa0hsxc/liTHm2JY2/X1RZluK367Dvf2u85sijz0jExRxRZ/CjD375zpX7+5O9jbp86cqieWZplJuvAwbBSbl6mrTEuevbs0V3TLj5PG+6+ycyiHW2lVgeavDqkLb0F7bl752rm5RfZQzV3vrVf4+Yst5dlNEcg+c2Mdi6ZfaV+8r2pdoWvCdXpmsVrlHLzMmXc/bDnPddt6cDBsOatfNJVSVbMvU4b7r5Jz907V9MuPs9OrwnV6apFq+3X6DwG1s+fNGnMCPuKxtMvvaqhMxbbS3m21Mz6ZUDNg2NiQm+tv+Pfk/o5teX+tIWOVm/xhQP1S5J7Bfo62miHqeOT9fhds+yrdkeOHtMPf7lR5974Y337zpWNjvjxg3NeAb/2x2uYvjUfhHUbXaxh+se7fYabOZeKJE1MGW4/96vMoHnop7Uvr2Oa5aXKf48yao3GTqDbGsfers3vMtyWffZnSiqUcffDWr95uyu9Z4/u+unca11pTn6W4fsKturcG3/suo3cKTGhd1RA3zKz/qJnrIBT6sihrgsDtKOt1+pAkzyG/ffs0T3qyprT1PHJ9n3OliWzr3QNxQsfOuxaPrctmEP1nAV93PAhmnn5Ra78uT/LP+7zVux8a78++PCLgJgVGEsdOVSjzx6kI0ePaW9NrdZv3q6Um5e16XeHtrN63gzX0Pqdb+2PWlKztbJWPBEVWJ00ZoTnagntsT9+6aj19kRhDYP2uipkacmSzu1t2U1XuW6lLnixzPOiil+85gV5892/2c/93B9zmP7wwYmaNXm8EhN668jRY55zLRyP9hnN57xlx88y4wevyVz9mGahI6Kf1r7MY5rqj1FNWQHL5DVfXmPzcJm8Jh/2OsY3BcfeE4OfZbg9+uyLH3k26oL1kMR+nhes26oML37kWZ1744/19EuvmllRq386HWhklP3VE76Yq1IdsB3tjHwJNHktz3j9ZWPNJJvzqpvlm6POdr32WgrUT15XKF5/5wP7uXU7gaW5s/63BStKPSSxn8KHDivl5mWylmMcMG2hhs5YrNTv3+d5ooDOw3lAVguvaDTmwMGwfvLYJjNZ/33dxKj7m9tjf/zSEevtieics2J3zL1WbjJX9fG60mTymmTXD86V1yxeQ9v9ZK7QdeToMft2Gr/3x+u9/33dRKl+YQAv7d0+o3Fe5d86wfW7zPjhwMFwVL2OtaJVUyfLNj/Pi9f31Jbop7W/xY88G1UWWnqM8lp6vbnzOjovEljMY7zqy0pjOPaeGPwsw+3VZ89a8UTUiKJJY0ZEDTRp6zJ86y8Koi6cN8WBg2FlrXjCTLZ1xHa0M/Il0LT4kWejfmRz+JllYP+ALj3va2ZylF493J2Dgf0DLb4lz+sAby4JfOToMeU9scWV5uTV8Wnvq3E/nXutK0rtFSxD19P71J6u116jjlpi48uVUfdqB+J7afW8Ga40U1vtT0PM291inaCYOkK9PREF4nvFHLpsXtndW1MbFQy0RgNYzvyKu0M+sH+gwWCW35xLV8vj/9AcXsdtc3RtrICPpTX74zVM3+pM3bVuoys9Fj/bZzTfwP4BnX/2YFfakaPHlP/7MleaU2vKjF+8yp3Zfkwdnxw1WXYsHe04Ifppx41Zth7ftsP1uqlKd++Nukvj/LMHx/wdl8y+Ui+s+IEraLTx5cqoE3BrJTEna1685uDY23X5VYZNbdVnP3AwrJ89+YKZrB/eMDmqrDu1pAyvv+MGvfd0rsofyjGzJEmffuYO0jlHJjY00t5rVJXXiERLR2hHOxtfAk2S9JPHNkVFY1fMvU5LZl9pF7ip45NV8KPZURFC1Q+lc7KG86v+fc8szWpwVbiGDB+c6Ap6DewfsJdxthSW7nIVOHP4rPPEyZoYzDw5aCqvk+SmfJazgAfie3kuuWo9dj36owaXe0THZdaF9LHn2L/j/MxJuvP6y135sXiVKTP4O3P5Y1F/b/TZg1wrSJj5Ld0fL1776MWcfDAQ38vex6njk1Xy4Pwvbsltw3qL5rli3Ll64LZM+/g/bvgQrb/jhqirw3n50UPDzcDi8MGJrt/7maVZnu1IQ50bi9fx18kcXSVJi797hQb2D2hg/4AeuC0z6v/QHIu/e4Xr9QO3Zbr+L+FDh10Bn7bYH69h+g1NOmoeA/xsn/FvjZXNgf0Dmp85yfP7Lv7L2/bv1xZlxsnrGNrYvkvSkl8VmknKuvI/XO3JirnXmZt4XizUcThOeP2/TfTTjg/nqI1YE6x7/aZe8vK3us5nevbornULv6v5mZPstKnjk+15Z846vV/UKBJz7paePbpr9bwZrjronK/LYpaxtjz2etUrrzS0D7/KsFlmWtpn9zouJQ9135K2btPLUbefJSb0dl2wNvenNWXYa/6lgf0DUd+LV5DOawCM+Tp86LB9waat21Gv77cr6hY/fPzdZmJLvPnu37Tvg5DOOSvRbti7n9RN5w07UzdNSdXtGZdpyoUjoxr9Fb/5Ihpa/X6tpo5PVveTutnvveS8r9nvq637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Cabang mana yang penjualannya TERTINGGI? ___________ TERENDAH? ___________[br]b) Berapa total penjualan seluruh cabang? ___________[br][br]
Diketahui data tinggi badan murid (cm):[br]150, 160, 155, 170, 165[br]a. Tentukan tinggi badan tertinggi dan terendah![br]b. Hitung selisih keduanya![br][br][br]