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write this into text that can be [pasted in cheggHy:py — pa >0 Test Statistic Formula: PE Te = ios Vato ny nz Substitute: ,_ 236-201 [482 5.00 Vso © 5s 35 [304% Vs "3s BN 35 35 0.4608 + 0.4545 \/0.9153 35 t= oes ~ 3.66 0.9567 Step 3 — Degrees of Freedom (Welch-Satterthwaite) Nl (2-2) nono df = —= (2) G) nm ny oT mal (0.4608 + 0.4545) Af = man (046087 (0.4545) 49 54 _ (09153) 08378 df = 52123 0.2066 ~ 0.00816 © 10268 mn "Tm df ~ 103 Step 4 — P-value Now, t=23.66, df —=103 For a one-tailed test: p= P(To > 3.66) +

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write this into text that can be [pasted in cheggUploaded ImageUploaded ImageHy:py — pa >0 Test Statistic Formula: PE Te = ios Vato ny nz Substitute: ,_ 236-201 [482 5.00 Vso © 5s 35 [304% Vs "3s BN 35 35 0.4608 + 0.4545 \/0.9153 35 t= oes ~ 3.66 0.9567 Step 3 — Degrees of Freedom (Welch-Satterthwaite) Nl (2-2) nono df = —= (2) G) nm ny oT mal (0.4608 + 0.4545) Af = man (046087 (0.4545) 49 54 _ (09153) 08378 df = 52123 0.2066 ~ 0.00816 © 10268 mn "Tm df ~ 103 Step 4 — P-value Now, t=23.66, df —=103 For a one-tailed test: p= P(To > 3.66) +

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Asked by: nayan
Created at: 2025-10-27 06:41:26

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Here is the version suitable foring into Che: --- **ₐ:** μ - μ₂ **Test Statistic Formula:** t = (x̄₁ - x̄₂) / √(s₁² / n₁ + s₂² / n₂) **Substitute:** t = (23.6 - 20.1) / √(4.8² / 50 + 5.² / 55) t = 3.5 / √(23.04 / 50 + 25 / 55) t = 3.5 / √(.4608 + .4545) t = 3.5 / √.9153 t = 3.5 / .9567 ≈ 3.66 --- **Step 3 — Degrees of Freedom (Welch–Satterthwaite):** df = [(s₁² / n₁ + s₂² / n₂)²] / [(s₁² / n₁)² / (n₁ - 1) + (s₂² / n₂)² / (n₂ - 1)] = [(.4608 + .4545)²] / [(.4608²) / 49 + (.4545²) / 54] = (.9153²) / (.2123 / 49 + .2066 / 54) ≈ .8378 / (.00434 + .00383) ≈ .8378 / .00816 ≈ 102.68 **Result:** df ≈ 103 --- **Step 4 — P-value:** Now, with t = 3.66 and df = 103, For a one-tailed test: p = P(T > 3.66 | df = 103) --- You can copy and paste this directly into Chegg.

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