construct a 90% confidence interval for the population mean

Recall, when all factors remain unchanged, an increase in sample size decreases variability. In this survey, 86% of blacks said that they would welcome a white person into their families. Table shows the highest SAR level for a random selection of cell phone models as measured by the FCC. Can we (with 75% confidence) conclude that at least half of all American adults believe this? Construct a 90% confidence interval to estimate the population mean using the data below. American Fact Finder. U.S. Census Bureau. An article regarding interracial dating and marriage recently appeared in the Washington Post. . The mean delivery time is 36 minutes and the population standard deviation is six minutes. You need to find \(z_{0.01}\) having the property that the area under the normal density curve to the right of \(z_{0.01}\) is \(0.01\) and the area to the left is 0.99. Consequently, P{' 1 (X) < < ' 2 (X)} = 0.95 specifies {' 1 (X), ' 2 (X)} as a 95% confidence interval for . Disclosure Data Catalog: Candidate Summary Report 2012. U.S. Federal Election Commission. document.getElementById( "ak_js_1" ).setAttribute( "value", ( new Date() ).getTime() ); Statology is a site that makes learning statistics easy by explaining topics in simple and straightforward ways. A confidence interval for a mean gives us a range of plausible values for the population mean. When designing a study to determine this population proportion, what is the minimum number you would need to survey to be 95% confident that the population proportion is estimated to within 0.03? The sample mean is 11.6 seats and the sample standard deviation is 4.1 seats. You need to measure at least 21 male students to achieve your goal. What does it mean to be 95% confident in this problem? Why? Why would the error bound change if the confidence level were lowered to 90%? We are interested in finding the 95% confidence interval for the percent of all black adults who would welcome a white person into their families. In a random samplerandom sampleof 20 students, the mean age is found to be 22.9 years. However, it is more accurate to state that the confidence level is the percent of confidence intervals that contain the true population parameter when repeated samples are taken. The second solution uses the TI-83, 83+, and 84+ calculators (Solution B). Arrow down to 7:ZInterval. Using the normal distribution calculator, we find that the 90% . If many random samples were taken of size 14, what percent of the confidence intervals constructed should contain the population mean worth of coupons? Explain what a 97% confidence interval means for this study. Find a confidence interval estimate for the population mean exam score (the mean score on all exams). If we took repeated samples, approximately 90% of the confidence intervals calculated from those samples would contain the sample mean. The population standard deviation for the height of high school basketball players is three inches. It is possible that less than half of the population believe this. Construct a 90% confidence interval of the population mean age. The area to the right of \(z_{0.025}\) is 0.025 and the area to the left of \(z_{0.025}\) is \(1 0.025 = 0.975\). The population is skewed to one side. Of the 1,709 randomly selected adults, 315 identified themselves as Latinos, 323 identified themselves as blacks, 254 identified themselves as Asians, and 779 identified themselves as whites. It is important that the "standard deviation" used must be appropriate for the parameter we are estimating, so in this section we need to use the standard deviation that applies to sample means, which is. You need to interview at least 385 students to estimate the proportion to within 5% at 95% confidence. In words, define the random variable \(X\). Use the following information to answer the next two exercises: A quality control specialist for a restaurant chain takes a random sample of size 12 to check the amount of soda served in the 16 oz. Another question in the poll was [How much are] you worried about the quality of education in our schools? Sixty-three percent responded a lot. Use the Student's t-distribution. Short Answer. Suppose that our sample has a mean of \(\bar{x} = 10\), and we have constructed the 90% confidence interval (5, 15) where \(EBM = 5\). In complete sentences, explain why the confidence interval in part f is larger than the confidence interval in part e. In complete sentences, give an interpretation of what the interval in part f means. Headcount Enrollment Trends by Student Demographics Ten-Year Fall Trends to Most Recently Completed Fall. Foothill De Anza Community College District. Why? x = 39.9, n = 45, s = 18.2, 90% confidence E = Round to two decimal places if necessary <? Assume the underlying population is normally distributed. A random sample of 28 pizza delivery restaurants is taken and has a sample mean delivery time of 36 minutes. Use \(n = 217\): Always round the answer UP to the next higher integer to ensure that the sample size is large enough. This is the t*- value for a 95 percent confidence interval for the mean with a sample size of 10. Past studies have shown that the standard deviation is 0.15 and the population is normally distributed. Suppose average pizza delivery times are normally distributed with an unknown population mean and a population standard deviation of six minutes. Even though the three point estimates are different, do any of the confidence intervals overlap? The firm needs to determine what the confidence level should be, then apply the error bound formula to determine the necessary sample size. Find a 90% confidence interval for the true (population) mean of statistics exam scores. The steps to construct and interpret the confidence interval are: We will first examine each step in more detail, and then illustrate the process with some examples. How would you interpret this statement? A sample of 16 small bags of the same brand of candies was selected. Your email address will not be published. Suppose that the insurance companies did do a survey. Construct a 95% confidence interval for the population mean height of male Swedes. 90% confidence interval between 118.64 ounces and 124.16 ounces 99% confidence interval between 117.13 ounces and 125.67 ounces Explanation: Given - Mean weight x = 121.4 Sample size n = 20 Standard Deviation = 7.5 Birth weight follows Normal Distribution. The population distribution is assumed to be normal. \(X\) is the time needed to complete an individual tax form. It concluded with 95% confidence that 49% to 55% of Americans believe that big-time college sports programs corrupt the process of higher education. We wish to construct a 90% confidence interval for the true proportion of California adults who feel that education and the schools is one of the top issues facing California. To construct a confidence interval estimate for an unknown population mean, we need data from a random sample. Assume the population has a normal distribution. \(P =\) the proportion of people in a sample who feel that the president is doing an acceptable job. How to interpret a confidence interval for a mean. Confidence Intervals for (Known) Example : A random sample of 25 students had a grade point average with a mean of 2.86. We can say that there does not appear to be a significant difference between the proportion of Asian adults who say that their families would welcome a white person into their families and the proportion of Asian adults who say that their families would welcome a Latino person into their families. x=59 =15 n=17 What assumptions need to be made to construct this interval? Sample Variance \(CL = 0.95\) so \(\alpha = 1 CL = 1 0.95 = 0.05\), \(\dfrac{\alpha}{2} = 0.025 z_{\dfrac{\alpha}{2}} = z_{0.025}\). The formula for sample size is \(n = \dfrac{z^{2}\sigma^{2}}{EBM^{2}}\), found by solving the error bound formula for \(n\). (b) Construct the 90% confidence interval for the population mean if the sample size, n, is 25. If we took repeated samples, approximately 90% of the confidence intervals calculated from those samples would contain the true value of the population mean. This means that there is a 95% probability the population mean would fall within the confidence interval range 95 is not a standard significance value for confidence. If it were later determined that it was important to be more than 95% confident and a new survey was commissioned, how would that affect the minimum number you would need to survey? Find the confidence interval at the 90% Confidence Level for the true population proportion of southern California community homes meeting at least the minimum recommendations for earthquake preparedness. How do you construct a 90% confidence interval for the population mean, ? X is the height of a Swedish male, and is the mean height from a sample of 48 Swedish males. Compare the error bound in part d to the margin of error reported by Gallup. Use a sample size of 20. One way to lower the sampling error is to increase the sample size. Now construct a 90% confidence interval about the mean pH for these lakes. Which distribution should you use for this problem? This is incorrect. What will happen to the error bound and confidence interval if 500 community colleges were surveyed? Arrow down and enter the following values: The confidence interval is ($287,114, $850,632). To find the confidence interval, you need the sample mean, \(\bar{x}\), and the \(EBM\). There are 30 measures in the sample, so \(n = 30\), and \(df = 30 - 1 = 29\), \(CL = 0.96\), so \(\alpha = 1 - CL = 1 - 0.96 = 0.04\), \(\frac{\alpha}{2} = 0.02 t_{0.02} = t_{0.02} = 2.150\), \(EBM = t_{\frac{\alpha}{2}}\left(\frac{s}{\sqrt{n}}\right) = 2.150\left(\frac{521,130.41}{\sqrt{30}}\right) - $204,561.66\), \(\bar{x} - EBM = $251,854.23 - $204,561.66 = $47,292.57\), \(\bar{x} + EBM = $251,854.23+ $204,561.66 = $456,415.89\). To receive certification from the Federal Communications Commission (FCC) for sale in the United States, the SAR level for a cell phone must be no more than 1.6 watts per kilogram. Interpret the confidence interval in the context of the problem. Yes, the intervals (0.72, 0.82) and (0.65, 0.76) overlap, and the intervals (0.65, 0.76) and (0.60, 0.72) overlap. Did you expect it to be? Can we (with 95% confidence) conclude that more than half of all American adults believe this? State the confidence interval. The sample mean, x \bar{x} x , is determined to be 104.3 and the sample standard deviation, s, is determined to be 15.9. Available online at. We also acknowledge previous National Science Foundation support under grant numbers 1246120, 1525057, and 1413739. The error bound and confidence interval will decrease. There is another probability called alpha \((\alpha)\). Remember to use the area to the LEFT of \(z_{\dfrac{\alpha}{2}}\); in this chapter the last two inputs in the invNorm command are 0, 1, because you are using a standard normal distribution \(Z \sim N(0, 1)\). To capture the true population mean, we need to have a larger interval. "Cell Phone Radiation Levels." What is meant by the term 90% confident when constructing a confidence interval for a mean? Define the random variable \(\bar{X}\) in words. Your email address will not be published. When we know the population standard deviation \(\sigma\), we use a standard normal distribution to calculate the error bound EBM and construct the confidence interval. An interested person researched a random sample of 22 Bulldogs and found the mean life span to be 11.6 with a standard deviation of 2.1. If we want to be 95% confident that the sample mean height is within one inch of the true population mean height, how many randomly selected students must be surveyed? On May 23, 2013, Gallup reported that of the 1,005 people surveyed, 76% of U.S. workers believe that they will continue working past retirement age. The effects of these kinds of changes are the subject of the next section in this chapter. c|net part of CBX Interactive Inc. This calculator will compute the 99%, 95%, and 90% confidence intervals for the mean of a normal population, given the sample mean, the sample size, and the sample standard deviation. Ninety percent of all confidence intervals constructed in this way contain the true mean statistics exam score. Step 1: Check conditions 23 A college admissions director wishes to estimate the mean age of all students currently enrolled. To find the 98% confidence interval, find \(\bar{x} \pm EBM\). Assume that the population standard deviation is \(\sigma = 0.337\). The confidence level is often considered the probability that the calculated confidence interval estimate will contain the true population parameter. The committee randomly surveyed 81 people who recently served as jurors. Calculate the error bound. use the data and confidence level to construct a confidence interval estimate of p, then address the given question. 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