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Author Question: The variation in sample means is measured by the standard error of the mean. Indicate whether the ... (Read 109 times)

scienceeasy

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on: Jun 24, 2018
The variation in sample means is measured by the standard error of the mean.
 
  Indicate whether the statement is true or false

Question 2

Two variables have a correlation coefficient equal to -0.65 from a sample size of 10. Which one of the following statements describes the results of the hypothesis test that the population correlation coefficient is less than zero using  = 0.05?
 
  A) Because the test statistic is less than the critical value, we can reject the null hypothesis and conclude that the population correlation coefficient is less than zero.
  B) Because the test statistic is less than the critical value, we can reject the null hypothesis and conclude that the population correlation coefficient is not less than zero.
  C) Because the test statistic is greater than the critical value, we can reject the null hypothesis and conclude that the population correlation coefficient is less than zero.
  D) Because the test statistic is greater than the critical value, we fail to reject the null hypothesis and conclude that the population correlation coefficient is not less than zero.
Business Statistics ¦ Donnelly ¦ 2nd Edition
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blakeserpa

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Reply #1 on: Jun 24, 2018
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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scienceeasy

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Reply 2 on: Jun 24, 2018
YES! Correct, THANKS for helping me on my review

kswal303

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Reply 3 on: Yesterday
Excellent

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