Concept explainers
Critical Thinking:
Do Male Symphony Conductors Really Live Longer?
Several media reports made the interesting observation that male symphony conductors live longer than other males. John Amaral wrote in Awaken that orchestra conductors “live longer than almost any other group of people by three to seven years.” Robert Levine wrote in Polyphonic.org that they live longer “because they stand up while working.” Some provided other explanations for this phenomenon, often referring to cardiovascular activity. But do male symphony conductors really live longer than other groups of males? The Internet can be researched for possible answers. Let’s also consider the following.
2. It is reasonable to assume that males do not become symphony conductors until they have reached at least the age of 40 years. When comparing life spans of male conductors, should we compare them to other males in the general population, or should we compare them to other males who lived until at least 40 years of age? Explain.
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Essentials of Statistics (6th Edition)
- The proportion of individuals in the United States who reported being “very happy” in 2014 was 0.911. In a recent survey of 1,225 US adults, 88.2% reported being “very happy.” Has the proportion of US adults who are “very happy” changed significantly?arrow_forwardIn a 2018 Poll 447 out of 486 supported universal background checks for all gun sales in the U.S. In a similar poll from 2015, 276 of 321 interviewed supported universal background checks. Is this significant evidence that the percent of the population that supports universal background checks in the U.S. has decreased during this time?arrow_forwardAnswerarrow_forward
- Opinions are split about a coffee company's pumpkin-flavored coffee (PFC). Yet every year over the last five years the consumption of pumpkin-flavored goods has increased. If we look at the numbers, it also becomes clear why a leading coffee company keeps offering the PFC earlier and earlier every year. According to a magazine, the amount spent by PFC buyers at the coffee company is about 17% higher than non-PFC buyers. The accompanying table shows a random sample of eight consumers, the amount they spend per week, and the number of PFCs purchased per week. PFC Spending 2 13.88 7 39.11 4 19.79 1 9.84 3 15.43 1 21.52 5 37.39 3 13.85 Calculate the slope and y-intercept for the regression formula. The slope is b1=4.465 The y-intercept is b0=6.840 Provide an interpretation for the value of the slope. Because the slope is positive, it can be…arrow_forwardOpinions are split about a coffee company's pumpkin-flavored coffee (PFC). Yet every year over the last five years the consumption of pumpkin-flavored goods has increased. If we look at the numbers, it also becomes clear why a leading coffee company keeps offering the PFC earlier and earlier every year. According to a magazine, the amount spent by PFC buyers at the coffee company is about 17% higher than non-PFC buyers. The accompanying table shows a random sample of eight consumers, the amount they spend per week, y, and the number of PFCs purchased, x, per week. PFC Spending 1 13.17 8 38.65 3 19.49 2 9.56 4 15.85 1 21.82 5 37.53 3 13.69 α=0.05 t= 3.07 p-value= 0.022 Construct a 95% confidence interval for the population slope. UCL = 6.69 LCL = 0.75 What conclusions about PFC purchases and spending can be drawn from these…arrow_forwardOpinions are split about a coffee company's pumpkin-flavored coffee (PFC). Yet every year over the last five years the consumption of pumpkin-flavored goods has increased. If we look at the numbers, it also becomes clear why a leading coffee company keeps offering the PFC earlier and earlier every year. According to a magazine, the amount spent by PFC buyers at the coffee company is about 17% higher than non-PFC buyers. The accompanying table shows a random sample of eight consumers, the amount they spend per week, y, and the number of PFCs purchased, x, per week. PFC Spending 1 13.17 8 38.65 3 19.49 2 9.56 4 15.85 1 21.82 5 37.53 3 13.69 t= 3.07 Identify the p-value p-value= (Round to three decimal places as needed.)arrow_forward
- Opinions are split about a coffee company's pumpkin-flavored coffee (PFC). Yet every year over the last five years the consumption of pumpkin-flavored goods has increased. If we look at the numbers, it also becomes clear why a leading coffee company keeps offering the PFC earlier and earlier every year. According to a magazine, the amount spent by PFC buyers at the coffee company is about 17% higher than non-PFC buyers. The accompanying table shows a random sample of eight consumers, the amount they spend per week, y, and the number of PFCs purchased, x, per week. PFC Spending 1 13.17 8 38.65 3 19.49 2 9.56 4 15.85 1 21.82 5 37.53 3 13.69 α=0.05 Calculate the test statistic for the hypothesis test. t= (Round to two decimal places as needed.)arrow_forwardOpinions are split about a coffee company's pumpkin-flavored coffee (PFC). Yet every year over the last five years the consumption of pumpkin-flavored goods has increased. If we look at the numbers, it also becomes clear why a leading coffee company keeps offering the PFC earlier and earlier every year. According to a magazine, the amount spent by PFC buyers at the coffee company is about 17% higher than non-PFC buyers. The accompanying table shows a random sample of eight consumers, the amount they spend per week, and the number of PFCs purchased per week. PFC Spending 2 13.88 7 39.11 4 19.79 1 9.84 3 15.43 1 21.52 5 37.39 3 13.85 The slope is b1=4.465 The y-intercept is b0=6.840 Because the slope is positive, it can be concluded that one extra PFC purchase per week will increase the average amount of spending per week by 4.46 dollars. Predict…arrow_forwardA health researcher studying child birth is interested in the possible effect that smoking by the mother during pregnancy has on the baby's birth weight. To investigate, the researcher conducts an observational study by reviewing 400 records of women in their twenties who have recently given birth for the first time. For each record, he notes whether or not the woman smoked during pregnancy and the baby's birth weight, in addition to the woman's education level, and age. From the data, the researcher creates two groups: women in their twenties who smoked during pregnancy and women in their twenties who did not smoke during pregnancy. Then he compares the average birth weight between the two groups. (a)Why might the researcher have chosen to perform an observational study (by gathering information from past records) and not a randomized experiment (by assigning pregnant women to either the smoking or nonsmoking group at random)? Choose the best answer from the choices below. In a…arrow_forward
- Please help with part b. Thanks.arrow_forwardThe table below shows the number of deaths in the U.S. in a year due to a variety of causes. For these questions, assume these values are not changing from year to year, and that the population of the United States is 312 million people. Cause Deaths Passenger car occupant 13,100 Motorcycle driver 4,500 Tornado 553 Skydiving 56 h) People sometimes claim motorcycle riding is less dangerous than driving. Does the data support this claim? What additional information and/or calculations would be useful to evaluate this claim?arrow_forwardSuppose you are conducting a study about how the average US worker spends time over the course of a workday. You are interested in how much time workers spend per day on personal calls, emails, and social networking websites, as well as how much time they spend socializing with coworkers versus actually working. The most recent census provides data for the entire population of US workers on variables such as travel time to work, time spent at work, and break time at work. The census, however, does not include data on the variables you are interested in, so you obtain a random sample of 102 full-time workers in the United States and ask about personal calls, emails, and so forth. You are curious about how your sample compares with the census, so you also ask the workers the same questions about work that are asked in the census. Suppose the mean travel time to work from the most recent census is 24.1 minutes, with a standard deviation of 4.5 minutes. Your sample of 102 US workers…arrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill