Statistical Hypothesis Testing and ANOVA: Solved Problems, Quizzes of Statistics

Solutions to statistical problems related to hypothesis testing and anova (analysis of variance). It covers topics such as t-tests, p-values, and the interpretation of anova results, including main effects and interactions. The problems address scenarios like comparing the mean of a sample to a target value, analyzing the impact of different treatments on plant growth, and understanding the relationship between variables. The solutions are detailed and explain the reasoning behind each step, making it a useful resource for students studying statistics.

Typology: Quizzes

2021/2022

Uploaded on 10/07/2025

dinastyarta-erlang
dinastyarta-erlang 🇸🇬

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ASISTENSI STATISTIKA 1
UAS 2023
Jawaban :
https://docs.google.com/spreadsheets/d/1XxBMaEROrKR5HQi_ubvrgX4HZhVEyuUbEj
3WW9VCNNk/edit?gid=1190822842#gid=1190822842
Jawaban :
Diketahui :
µ0 = 25 𝑔𝑟𝑎𝑚 𝑛 (𝑗𝑢𝑚𝑙𝑎ℎ 𝑠𝑎𝑚𝑝𝑙𝑒) = 20
𝑥 = 24. 5 𝑔𝑟𝑎𝑚
𝑠𝑡. 𝑑𝑣 = 4 𝑔𝑟𝑎𝑚
Ditanyakan :
Apakah rata-rata produk kaca di suatu pabrik kurang dari 25 gram? (Left-tail test)
Jawaban :
1. Menentukan jenis tes yang akan dilakukan
- Pengujian ingin dilakukan untuk mengetes suatu nilai rata-rata terhadap
target : metode mean vs target
- Standar deviasi populasi tidak diketahui dan jumlah sampel <30 sehingga
digunakan uji t-test.
2. Merumuskan hipotesis
𝐻0 = µ 25
𝐻1 = µ < 25
3. Menguji test statistik terpilih : T-test
𝑇0 = 𝑋−µ0
𝑆/ 𝑛
𝑇0 = 24,5−25
4/ 20 = −0.5
0.89 = 0. 56
4. Penentuan critical value
Decision Criteria, terdapat dua kriteria
Reject H0 ketika T hitung < - T tabel
Menghitung T-Critical
Dilihat pada t-table
Untuk degree of freedom = 19
One tail test
Dengan alpha = 0.05
T (df, alpha) = T(29,0.05) = 1.729
Membandingkan T-hitung dan T-critical
-0.56 > -1.729, failed to reject.
5. Ambil kesimpulan
Dapat disimpulkan bahwa uji statistik menunjukkan failed to reject H0 yang
artinya rata-rata produk kaca di pabrik adalah 25 gram.
Jawaban :
Nilai p-value adalah besar probabilitas bahwa uji statistik akan menolak hipotesis
awal (H0). Nilai ini menunjukkan level signifikansi terkecil untuk menghasilkan
keputusan untuk reject H0.
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