Part 2: Hypothesis Test for the Population Proportion- Required Manual Tasks • Define your concern of interest drawing upon your variables in your dataset. • Conceptualize your null and alternate hypotheses based on your testing concept. a. Apply 1 one-sided test (upper-tail or lower-tail) and 1 two-sided test concepts for the population proportion at 1%, 5%, or 10% levels of significance (choose one of them) by stating the appropriate decision rule. b. Calculate p-value for each of your tests and perform testing for your same hypotheses with p-value solution. Comment on how p-value changes for 1%, 5%, and 10% significance levels (for all three). **Here in order to apply normal distribution approximation, you should be careful about verifying np(1-p) > 5 as a rule of thumb. c. Make a confidence interval estimation for the population proportion based on 90%, 95% and 99% confidence levels and make interpretations for all three.
Name | Surname | Gender | Class | Midterm | Final |
Esra | Baydı | Female | A | 98 | 66 |
Esma | Albayrak | Female | A | 82 | 97 |
Tuğçe | Sağ | Female | A | 41 | 64 |
Merve | Topal | Female | A | 80 | 100 |
Şeyma | Tiryaki | Female | A | 52 | 63 |
Burcu | Eroğlu | Female | A | 58 | 52 |
Sibel | Deniz | Female | A | 61 | 90 |
Burcu | Acı | Female | A | 72 | 50 |
Merve | Küçük | Female | A | 96 | 100 |
Kübra | Özcan | Female | A | 64 | 87 |
Hayriye | Kuş | Female | A | 100 | 100 |
Burcu | Güneş | Female | A | 30 | 42 |
Demet | Akalın | Female | A | 52 | 69 |
Emre | Şen | Male | A | 60 | 74 |
Oğuzhan | Kışçı | Male | A | 74 | 63 |
Kemal | Gündüz | Male | B | 44 | 75 |
Mesut | İş | Male | B | 60 | 82 |
Uğur | Yıldırım | Male | B | 72 | 74 |
Akif | Topçu | Male | B | 80 | 52 |
Barış | Selimler | Male | B | 100 | 96 |
Metin | Mert | Male | B | 51 | 75 |
Göksel | Kansoy | Male | B | 74 | 82 |
Emir | Biçer | Male | B | 94 | 98 |
Berkay | Balkay | Male | B | 28 | 52 |
Osman | Aydın | Male | B | 50 | 76 |
Yiğit | Aydın | Male | B | 74 | 62 |
Emre | Çalışkan | Male | B | 52 | 93 |
Osman | Yetim | Male | B | 83 | 82 |
Yücel | Can | Male | B | 79 | 71 |
Bahadır | Ak | Male | B | 86 | 90 |
Oğuzcan | Gündüz | Male | B | 72 | 85 |
Ahmet | Al | Male | B | 63 | 52 |
Hale | Can | Female | B | 70 | 62 |
Berrak | Tüzün | Female | B | 54 | 66 |
Songül | Albayrak | Female | C | 80 | 55 |
Bircan | Bal | Female | C | 73 | 91 |
Yasemin | Kara | Female | C | 20 | 45 |
Hilal | Bulut | Female | C | 63 | 52 |
Gizem | Özveri | Female | C | 94 | 99 |
Merve | Küçük | Female | C | 34 | 65 |
Ayfer | Çakmak | Female | C | 98 | 72 |
Merve | Gündoğdu | Female | C | 86 | 79 |
Havva | Yıldız | Female | C | 65 | 88 |
Rahime | Çapın | Female | C | 89 | 95 |
Nigar | Şahin | Female | C | 72 | 90 |
Esra | Kaya | Female | C | 98 | 99 |
Tülin | Boz | Female | C | 93 | 89 |
Petek | Çil | Female | C | 82 | 70 |
Eda | Taş | Female | C | 67 | 82 |
69,79591837 | 75,7755102 |
Part 2: Hypothesis Test for the Population Proportion-
Required Manual Tasks
• Define your concern of interest drawing upon your variables in your dataset.
• Conceptualize your null and alternate hypotheses based on your testing concept.
a. Apply 1 one-sided test (upper-tail or lower-tail) and 1 two-sided test concepts for the
population proportion at 1%, 5%, or 10% levels of significance (choose one of them)
by stating the appropriate decision rule.
b. Calculate p-value for each of your tests and perform testing for your same hypotheses
with p-value solution. Comment on how p-value changes for 1%, 5%, and 10%
significance levels (for all three).
**Here in order to apply
about verifying np(1-p) > 5 as a rule of thumb.
c. Make a confidence
95% and 99% confidence levels and make interpretations for all three.
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