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jhjkgdfhk

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Suppose that μ represents the mean height for a population of people. Suppose that you use a sample mean, , to estimate μ. Explain what is meant by sampling error in this situation. Why does vary from one sample to the next? How can you reduce the likely sampling error?


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Marked as best answer by jhjkgdfhk on Apr 7, 2020

Ashley I

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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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jhjkgdfhk

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Reply 2 on: Apr 7, 2020
:D TYSM


irishcancer18

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Reply 3 on: Yesterday
Thanks for the timely response, appreciate it

 

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