week11-2up_001

# Can we validly use the formula to construct a ci for

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Unformatted text preview: ly dist., expect that KNOW:  values of the var. are within 3 std. dev. of the mean. ¦¨ § ¥ © ¦§  ¦ §  © ? Can we validly use the formula to construct a CI for p? Ex. Took sample of size 40, obtained STA 2023 c D.Wackerly - Lecture 16 #\$ (respectively) the binomial distribution histogram is ( ¦ ¥ (Project) If ¦ LARGE SAMPLE CI for ¦ ¢ ( ¡ ¢ ¢    for C.I. – Need : at least a “ballpark value” for and solve for (p. 307) that is within “ ” units with conﬁdence level Estimate of Want: Choosing the Sample Size to estimate © ©    ¡ ¥ ¡   £   &amp; ¢ ( ¦§ §  ¦  ¦§ ¨ § § ¨ ¢  “large enough” to Validly construct a  ¦§ &amp; ¥    ! ¥ &quot;  \$   &amp; '  '( ! §   £ ¥¤ &quot; ¦¨ § ¥ ¡ &quot;! £ When is  ¢ ) STA 2023 c D.Wackerly - Lecture 16 % . 210  © © \$ © \$ and solve for (p. 309) © # &amp; &amp; '(  ¢ Parameter : ,  ¦ \$ ©  ¢ “kill rate” to within to within , Conﬁdence : with probability . within 1 hour. How large sample size to estimate true Ex.: Insecticide designed to kill approx. of insects and SOLVE conﬁdence. Need : at least a “ballpark value” for   ¦  ¢ ¦ Don’t know but What is ? STA 2023 c D.Wackerly - Lecture 16 If you have a “ballpark” value of . ¢ ¥...
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## This note was uploaded on 12/15/2011 for the course STA 2023 taught by Professor Ripol during the Spring '08 term at University of Florida.

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