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Author Question: \(\style{font-family:Times New Roman;}{{\widehat p}_1-{\widehat p}_2\dot\sim ... (Read 14 times)

curls713

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on: Feb 26, 2023

Question 1

Why would you use the Tukey multiple comparison?

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to estimate differences in sample means


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to test for normality


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to estimate differences in pairwise means


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to test for independence of errors



Question 2

\(\style{font-family:Times New Roman;}{{\widehat p}_1-{\widehat p}_2\dot\sim N\left(P_1-P_2,\frac{P_1(1-P_1)}{n_1}+\frac{P_2(1-P_2)}{n_2}\right)}\)

The preceding statement is true provided that:


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\(\style{font-family:Times New Roman;}{{\widehat p}_1}\)follows a normal distribution.


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both\(\style{font-family:Times New Roman;}{{\widehat p}_1}\)and\(\style{font-family:Times New Roman;}{{\widehat p}_2}\)follow a normal distribution.


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\(\style{font-family:Times New Roman;}{n_1P_1\geq5,\;n_1\left(1-P_1\right)\geq5}\)and\(\style{font-family:Times New Roman;}{n_2P_2\geq5,\;n_2\left(1-P_2\right)\geq5}\).


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\(\style{font-family:Times New Roman;}{n_1P_1\geq5,\;n_1\left(1-P_1\right)\geq5}\)or\(\style{font-family:Times New Roman;}{n_2P_2\geq5,\;n_2\left(1-P_2\right)\geq5}\).

Introductory Statistics: A Problem-Solving Approach ¦ Kokoska ¦ 3rd Edition
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Marked as best answer by curls713 on Feb 26, 2023

Asfa

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Reply #1 on: Feb 26, 2023
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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curls713

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Reply 2 on: Feb 26, 2023
Thanks for the timely response, appreciate it

ryansturges

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Reply 3 on: Yesterday
YES! Correct, THANKS for helping me on my review

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