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Author Question: Data was collected from CEOs of companies within both the low-tech industry and the consumer ... (Read 171 times)

ishan

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on: Feb 14, 2020
Data was collected from CEOs of companies within both the low-tech industry and the consumer products industry. The following printout compares the mean return-to-pay ratios between CEOs in the low-tech industry with CEOs in the consumer products industry.

       HYPOTHESIS: MEAN X = MEAN Y

SAMPLES SELECTED FROM RETURN
industry 1(low tech)(NUMBER = 15)
industry 3(consumer products)(NUMBER = 15)
___________________________________________________

X = industry1
Y = industry3
SAMPLE MEAN OF X =157.286
SAMPLE VARIANCE OF X =1563.45
SAMPLE SIZE OF X =14
SAMPLE MEAN OF Y =217.583
SAMPLE VARIANCE OF Y =1601.54
SAMPLE SIZE OF Y =12
MEAN X - MEAN Y =-60.2976
t =-4.23468
P-VALUE =0.000290753
P-VALUE/2 =0.000145377
SD. ERROR =14.239

Using the printout, which of the following assumptions is not necessary for the test to be valid?
◦ The population means are equal.
◦ The population variances are equal.
◦ Both populations have approximately normal distributions.
◦ The samples were randomly and independently selected.
Statistics ¦ McClave, Sincich, Tamarack ¦ 12th Edition
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Marked as best answer by ishan on Feb 14, 2020

quynhmickitran

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Reply #1 on: Feb 14, 2020
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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ishan

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Reply 2 on: Feb 14, 2020
Great answer, keep it coming :)

dyrone

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

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