[b]Kazanım:[/b][br]Etkinliğimiz "M.5.3.1.3. Sıklık tablosu veya sütun grafiği ile gösterilmiş verileri yorumlamaya yönelik problemleri çözer.[br]Yanlış yorumlamalara yol açan sütun grafikleri de incelenir." kazanımına göre hazırlanmıştır. [br][b]YÖNERGE:[/b][br]Aşağıda görmüş olduğunuz sütun grafiğini arttır ve azalt butonlarına basarak grafiğin nasıl değişim gösterdiğini görebilirsiniz.
Ad- Soyad: [br]Numara: [br][br][br][img]data:image/png;base64,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[/img][br][br] [br] [br] [br][b]6. Sınıf Veri İşleme [br] [/b][b]Sağdan sola[/b] [br][b]6.[/b] Bir sayı dizisindeki elemanların toplamının eleman[br]sayısına bölünmesi ile elde edilen veri.[br][b]8.[/b] Dikey çubuk[br]grafiğine ***** grafiği denir.[br][b]9.[/b] Aritmetik ortalama[br]değerinden büyük bir değer çıkarıldığında ortalamanın değişimi.[br][br][br][b]Yukarıdan aşağıya [br] [/b][b]1.[/b] Sayım yolu ile toplanan ve sayısal bir değer bildiren[br]ifadeler.[br][b] 2.[/b] En büyük değerin[br]97 en küçük değerin ise 47 olduğu veri grubundaki açıklık.[br][b] 3.[/b] Matematikten 78,[br]80, 76 alan öğrencinin notlarının aritmetik ortalaması.[br][b] 4.[/b] Hesap tutmak[br]amaçlı bir yere çizgiler çizmek ve kısaca göstermek.[br][b] 5.[/b] Aritmetik ortalama[br]bulurken yapılan ilk işlem.[br][b] 6.[/b] Aritmetik ortalama[br]değerinden küçük bir değer çıkarıldığında ortalamanın değişimi.[br][b] 7.[/b] Bir veri[br]grubundaki en küçük ve en büyük değer arasındaki fark.[br][br][br][b] [/b][b]Cevaplar:[/b][br][b]Sağdan sola [/b][br][b]6.) [/b]Aritmetik[br]ortalama[b] [/b][br][b]7.) [/b]Sütun [b] [/b][b] [/b][br][b]8.) [/b]Azalır [b] [/b][br][b]Yukarıdan aşağıya [/b][br][b]1.)[/b]Veri[br][b]2.) [/b]Elli[br][b]3.)[/b]Yetmiş Sekiz[br][b]4.) [/b]Çetele [br][b]5.)[/b] Toplama[br][b]6.) [/b]Artar[br][b]7.) [/b]Açıklık [br][br][br]