document.write( "Question 1139536: Can someone please help my son with solving this question:\r
\n" ); document.write( "\n" ); document.write( "In a survey of 1051 ​adults, a poll​ asked, \"Are you worried or not worried about having enough money for​ retirement?\" Of the 1051 ​surveyed, 599 stated that they were worried about having enough money for retirement. Construct a 95​% confidence interval for the proportion of adults who are worried about having enough money for retirement.\r
\n" ); document.write( "\n" ); document.write( "A 95​% confidence interval for the proportion of adults who are worried about having enough money for retirement is
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Algebra.Com's Answer #760014 by jim_thompson5910(35256)\"\" \"About 
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\n" ); document.write( "n = 1051 is the sample size\r
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\n" ); document.write( "\n" ); document.write( "Of that sample size, x = 599 said they were worried, so
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\n" ); document.write( "is a good estimate of the population proportion of people worried about having enough money for retirement.\r
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\n" ); document.write( "\n" ); document.write( "The notation is read as \"p-hat\". Basically it's the letter \"p\" but with a \"hat\" on top so to speak. This is to help separate it from the regular letter \"p\" which is the population proportion; while is the sample proportion.\r
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\n" ); document.write( "\n" ); document.write( "Let's compute the standard error which I'll call \"SE\" for short.
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\n" ); document.write( "\n" ); document.write( "note: we do not use p here as we don't know the population proportion. If we knew the population proportion then we wouldn't need a confidence interval (since a confidence interval is used to estimate the population proportion). We can say that p-hat is an unbiased estimator of p.\r
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\n" ); document.write( "\n" ); document.write( "Now onto the margin of error, which I'll abbreviate as \"ME\". We'll need the z critical value. At 95% confidence, the critical z value is approximately z = 1.960; this value is found using a calculator or a table. \r
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\n" ); document.write( "\n" ); document.write( "I used this table to find the z critical value. Scroll to the bottom of the page to locate the row that starts with Z. Then locate the column that has \"95%\" at the very bottom. The value just above this is 1.960. A table similar to this should be found in the appendix section of your statistics textbook.\r
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\n" ); document.write( "\n" ); document.write( "Let's use those two values to get...\r
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\n" ); document.write( "\n" ); document.write( "The margin of error is then added and subtracted from the p-hat value, as the p-hat value is the best estimate of p. The p-hat value is the center of the confidence interval. The margin of error tells us how spread out or how wide the interval is.\r
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\n" ); document.write( "\n" ); document.write( "L = lower boundary of confidence interval\r
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\n" ); document.write( "\n" ); document.write( "The upper boundary is nearly identical, but instead we add this time.\r
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\n" ); document.write( "\n" ); document.write( "U = upper boundary of confidence interval\r
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\n" ); document.write( "\n" ); document.write( "Answer: (0.54, 0.60)
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\n" ); document.write( "\n" ); document.write( "Interpretation: We are 95% confident that the true proportion p is between 0.54 and 0.60, meaning that we're 95% confident that the proportion of people worried about having enough money for retirement is between 54% and 60%.
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