document.write( "Question 1207924: A random sample of n = 36 observations has a mean x = 28.7 and a standard deviation s = 3.8.
\n" );
document.write( "GIVEN:-
\n" );
document.write( "- point estimate of the population mean š = 28.7
\n" );
document.write( "- 95% margin of error for your estimate = 1.2413
\n" );
document.write( "- 90% confidence interval for š = 27.658 to 29.742
\n" );
document.write( "- In repeated sampling, 90% of all intervals constructed in this manner will enclose the population mean.
\n" );
document.write( "- (a) bound is calculated using zš¼, while the lower confidence limit in part (b) is calculated using zš¼/2.
\n" );
document.write( " \r
\n" );
document.write( "\n" );
document.write( "(a) Find a 90% lower confidence bound for the population mean š. (Round your answer to two decimal places.)\r
\n" );
document.write( "
\n" );
document.write( "\n" );
document.write( "(b) How many observations do you need to estimate š to within 0.6, with probability equal to 0.95? (Round your answer up to the nearest whole number.)
\n" );
document.write( " observations
\n" );
document.write( " \n" );
document.write( "
Algebra.Com's Answer #848078 by GingerAle(43)![]() ![]() ![]() You can put this solution on YOUR website! **a) Find a 90% lower confidence bound for the population mean š.**\r \n" ); document.write( "\n" ); document.write( "* **Understand the Concept:** \n" ); document.write( " * A lower confidence bound provides a minimum value for the population mean with a certain level of confidence. \n" ); document.write( " * For a 90% lower bound, we're essentially saying that we are 90% confident that the population mean is greater than or equal to this value.\r \n" ); document.write( "\n" ); document.write( "* **Calculate the Lower Bound:** \n" ); document.write( " * Since we're given the 90% confidence interval (27.658 to 29.742), the lower bound of this interval directly represents the 90% lower confidence bound for the population mean.\r \n" ); document.write( "\n" ); document.write( "* **Answer:** \n" ); document.write( " * The 90% lower confidence bound for the population mean š is **27.66**.\r \n" ); document.write( "\n" ); document.write( "**b) Determine the sample size needed to estimate š to within 0.6 with a 95% probability.**\r \n" ); document.write( "\n" ); document.write( "* **Understand the Goal:** \n" ); document.write( " * We want to find the sample size (n) that will ensure the margin of error (E) is 0.6 with a 95% confidence level.\r \n" ); document.write( "\n" ); document.write( "* **Formula:** \n" ); document.write( " * The margin of error (E) for a confidence interval for the mean is given by: \n" ); document.write( " * E = zα/2 * (Ļ / ān) \n" ); document.write( " * where: \n" ); document.write( " * zα/2 is the critical value from the standard normal distribution for the desired confidence level (95% in this case) \n" ); document.write( " * Ļ is the population standard deviation (we'll use the sample standard deviation 's' as an estimate) \n" ); document.write( " * n is the sample size\r \n" ); document.write( "\n" ); document.write( "* **Rearrange the formula to solve for n:** \n" ); document.write( " * n = (zα/2 * Ļ / E)²\r \n" ); document.write( "\n" ); document.write( "* **Find the critical value (zα/2):** \n" ); document.write( " * For a 95% confidence level, zα/2 = 1.96 (from the standard normal distribution table)\r \n" ); document.write( "\n" ); document.write( "* **Plug in the values:** \n" ); document.write( " * n = (1.96 * 3.8 / 0.6)² \n" ); document.write( " * n = (12.32)² \n" ); document.write( " * n ā 151.75\r \n" ); document.write( "\n" ); document.write( "* **Round up to the nearest whole number:** \n" ); document.write( " * n = 152\r \n" ); document.write( "\n" ); document.write( "* **Answer:** \n" ); document.write( " * You need **152 observations** to estimate š to within 0.6 with a probability of 0.95. \n" ); document.write( " \n" ); document.write( " |