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1 ##DESCRIPTION 2 ##KEYWORDS('large sample', 'confidence interval', 'statistics') 3 ## 4 ##ENDDESCRIPTION 5 6 DOCUMENT(); # This should be the first executable line in the problem. 7 8 loadMacros( 9 "PG.pl", 10 "PGbasicmacros.pl", 11 "PGchoicemacros.pl", 12 "PGanswermacros.pl", 13 "PGnumericalmacros.pl", 14 "PGstatisticsmacros.pl", 15 "PGauxiliaryFunctions.pl" 16 ); 17 18 TEXT(beginproblem()); 19 $showPartialCorrectAnswers = 1; 20 21 for ($i=0; $i<4; $i++) { 22 $n[$i] = random(70,120,5); 23 $x[$i] = random(1,105,.1); 24 $s[$i] = random(2,5, .01); 25 } 26 27 @conf = (90,95,99); 28 @a = (1.645,1.96,2.575); 29 @slice = NchooseK(3,1); 30 @sconf = @conf[@slice]; 31 @sa = @a[@slice]; 32 33 for ($i=0; $i<4; $i++) { 34 $ans1[$i] = $x[$i] - $sa[0]*($s[$i]/sqrt $n[$i]); 35 $ans2[$i] = $x[$i] + $sa[0]*($s[$i]/sqrt $n[$i]); 36 } 37 38 BEGIN_TEXT 39 A random sample of \(n\) measurements was selected from a population with unknown mean \(\mu\) and 40 standard deviation \(\sigma\). Calculate a \($sconf[0] \\%\) confidence interval for \(\mu\) for each of the 41 following situations: $PAR 42 (a) \( \ \) \(n = $n[0], \ \overline{x} = $x[0], \ s = $s[0] \) $BR 43 \{ans_rule(20)\} \( \leq \mu \leq \) \{ans_rule(20)\} $PAR 44 (b) \( \ \) \(n = $n[1], \ \overline{x} = $x[1], \ s = $s[1] \) $BR 45 \{ans_rule(20)\} \( \leq \mu \leq \) \{ans_rule(20)\} $PAR 46 (c) \( \ \) \(n = $n[2], \ \overline{x} = $x[2], \ s = $s[2] \) $BR 47 \{ans_rule(20)\} \( \leq \mu \leq \) \{ans_rule(20)\} $PAR 48 (d) \( \ \) \(n = $n[3], \ \overline{x} = $x[3], \ s = $s[3] \) $BR 49 \{ans_rule(20)\} \( \leq \mu \leq \) \{ans_rule(20)\} 50 END_TEXT 51 ANS(num_cmp($ans1[0])); 52 ANS(num_cmp($ans2[0])); 53 ANS(num_cmp($ans1[1])); 54 ANS(num_cmp($ans2[1])); 55 ANS(num_cmp($ans1[2])); 56 ANS(num_cmp($ans2[2])); 57 ANS(num_cmp($ans1[3])); 58 ANS(num_cmp($ans2[3])); 59 60 ENDDOCUMENT(); # This should be the last executable line in the problem.
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