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Author Question: Perform the required chi-square hypothesis test. Preliminary data analyses and other information ... (Read 90 times)

Mimi

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on: Apr 7, 2020

Question 1

A sample standard deviation and sample size are given. Use the one-standard-deviation χ2-interval procedure to obtain the specified confidence interval.

s = 7, n = 22 , 99% confidence interval
◦ 0.775 to 3.993
◦ 1.884 to 4.278
◦ 5.141 to 10.754
◦ 4.985 to 11.317

Question 2

Perform the required chi-square hypothesis test. Preliminary data analyses and other information indicate that it is reasonable to assume that the variable under consideration is normally distributed. Use the critical-value approach or the P-value approach as indicated.

A machine dispenses a liquid drug into bottles in such a way that the standard deviation of the contents is 81 milliliters. A new machine is tested on a sample of 24 containers and the standard deviation for this sample group is found to be 26 milliliters. At the 5%  level of significance, do the data provide sufficient evidence to conclude that the standard deviation, σ, of the amounts dispensed by the new machine is less than 81 milliliters? Use the critical-value approach.
Introductory Statistics ¦ Weiss ¦ 10th Edition
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Marked as best answer by Mimi on Apr 7, 2020

recede

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Reply #1 on: Apr 7, 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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Mimi

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Reply 2 on: Apr 7, 2020
Thanks for the timely response, appreciate it

dreamfighter72

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Reply 3 on: Yesterday
Great answer, keep it coming :)

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