7) Two brands of cigarettes are selected, and their nicotine content is compared. The data are shown below. Test the claim that the population mean nicotine in the two brands are different. Use a = .01 Brand A X₁ = 28.6 mg σ₁ = 5.1 mg n₁ = 30 Brand B X₂ = 32.9 mg 7 =4.4 mg n₂ = 40

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7) Two brands of cigarettes are selected, and their nicotine content is compared. The data are shown below.
Test the claim that the population mean nicotine in the two brands are different. Use α = .01
Brand A
X₁ = 28.6 mg
σ₁ = 5.1 mg
n₁ = 30
8) Are technical support calls equal (uniform) across all days of the week?
This is a Chi-Square "goodness of fit test". Is there a significant difference between the daily number of
observed calls and expected calls? Use a = .01
• Sample data for 10 days per day of week:
Sum of calls for this day:
290
250
238
257
265
230
192
Monday
Tuesday
Brand B
X₂ = 32.9 mg
7 =4.4 mg
n₂ = 40
Wednesday
Thursday
Friday
Saturday
Sunday
Σ = 1722
Transcribed Image Text:7) Two brands of cigarettes are selected, and their nicotine content is compared. The data are shown below. Test the claim that the population mean nicotine in the two brands are different. Use α = .01 Brand A X₁ = 28.6 mg σ₁ = 5.1 mg n₁ = 30 8) Are technical support calls equal (uniform) across all days of the week? This is a Chi-Square "goodness of fit test". Is there a significant difference between the daily number of observed calls and expected calls? Use a = .01 • Sample data for 10 days per day of week: Sum of calls for this day: 290 250 238 257 265 230 192 Monday Tuesday Brand B X₂ = 32.9 mg 7 =4.4 mg n₂ = 40 Wednesday Thursday Friday Saturday Sunday Σ = 1722
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