In a random sample of 81 audited estate tax returns, it was determined that the mean amount of additional tax owed was $3482 with a standard deviation of $2568. Construct and interpret a 90% confidence interval for the mean additional amount of tax owed for estate tax returns. Click the icon to view the t-distribution table. The lower bound is $ (Round to the nearest dollar as needed.) The upper bound is $ (Round to the nearest dollar as needed.) Interpret a 90% confidence interval for the mean additional amount of tax owed for estate tax returns. Choose the correct answer below. O A. One can be 90% confident that the mean additional tax owed is between the lower and upper bounds. O B. One can be 90% confident that the mean additional tax owed is greater than the upper bound. OC. One can be 90% confident that the mean additional tax owed is less than the lower bound.

For a sample of 23 operating rooms taken in a hospital study, the mean noise level was 37.9 decibels, and the standard deviation was 7.6. Find the 95% confidence interval of the true mean of the noise levels in the operating rooms. Assume the variable is normally distributed. Use a graphing calculator and round the answers to at least one decimal place.

A marketing consultant is hired by a major restaurant chain wishing to investigate the preferences and spending patterns of lunch customers. The CEO of the chain hypothesized that the average customer spends at least $13.50 on lunch. A survey of 25 customers sampled at one of the restaurants found the average lunch bill per customer to be ?¯=$14.50 . Based on previous surveys, the restaurant informs the marketing manager that the standard deviation is ?=$3.50 . To address the CEO’s conjecture, the marketing manager carried out a hypothesis test of ?0:?=13.50 vs. ??:?>13.50 and obtained a ?‑value = 0.77. The marketing chooses a significance level of ?=0.10. If he uses this significance level throughout his work, how often will he reject a true null hypothesis? Group of answer choices a.He will reject 10% of all true null hypotheses. b. He will reject 1% of all true null hypotheses. c. He will reject 5% of all true null hypotheses. d. He will not reject 10% of all true null…

Newborn babies: A study conducted by the Center for Population Economics at the University of Chicago studied the birth weights of 716 babies born in New York. The mean weight was 3506 grams with a standard deviation of 868 grams. Assume that birth weight data are approximately bell-shaped. Estimate the number of newborns who weighed between 1770 grams and 5242 grams. Round to the nearest whole number. The number of newborns who weighed between 1770 grams and 5242 grams is