Na'urar lissafin girman samfuri
Amsoshin bincike nawa kuke buƙata don gefen kuskure.
Game da Na'urar lissafin girman samfuri
Amsoshin bincike nawa kuke buƙata don gefen kuskure.
Ɓangare ne na sashen “Ƙididdiga” na SmartCalcy. Yana aiki a burauzar ku ba tare da asusu ba, yana amfani da kuɗinku da ma'aunanku (canza su a saman shafin), kuma yana ba da ƙiyasi don bayani kawai, don haka duba jagorar hukuma kafin ku dogara da sakamako.
Yadda ake amfani da Na'urar lissafin girman samfuri
Abin da yake lissafawa da lokacin amfani da shi
Yana lissafa amsoshi nawa kuke buƙata don bincike (survey), bisa tazarar kuskure, matakin tabbaci da girman al'umma.
Yadda ake amfani da shi, mataki-mataki
- Zaɓi matakin tabbaci da tazarar kuskure.
- Shigar da rabon da ake tsammani da girman al'umma.
- Karanta girman samfurin da ake buƙata.
Ma'anar kowace shigarwa
- Lissafa – Farawa at Sample girma Ana buƙata.
- Matakin tabbaci – Farawa at 95%.
- Gefen kuskure (margin of error) – Farawa at 5.
- Girman al'umma (zaɓi ne) – Enter your nawa figure.
- Rabon da ake tsammani – 50% shi ne the safest choice Farawa at 50.
Yadda ake karanta sakamako
- Amsoshin da ake buƙata – The headline answer. In the default example it reads 385 (±5% at 95% confidence).
Dabarar lissafi
n₀ = z² × p(1 − p) ÷ e². For a finite population, n = n₀ ÷ (1 + (n₀ − 1) ÷ N).
Misali da aka warware
With the starting entries (Calculate: Sample size needed, Confidence level: 95%, Margin of error: 5, Expected proportion: 50), the calculator shows responses needed of 385, ±5% at 95% confidence.
Zato da iyakoki
- Random sampling da a mai kyau response kashi.
- Use p = 0.5 when unsure; it gives the largest sample.
Kurakuran da aka saba yi
- Ignoring non-responses.
- Choosing a tiny margin na Kuskure.
Tambayoyin da ake yawan yi
Nawa ne don ±5% a 95%?
Kusan 385 ga babban al'umma.