If the life expectacy in county A is 65 years with CI of (55, 75) and in county B is 87 years with CI of (85, 90), are the two life expectancies likely to be statistically different?
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Q: If the life expectacy in county A is 65 years with CI of (55, 75) and in county B is 87 years with…
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If the life expectacy in county A is 65 years with CI of (55, 75) and in county B is 87 years with CI of (85, 90), are the two life expectancies likely to be statistically different?
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- What does the y -intercept on the graph of a logistic equation correspond to for a population modeled by that equation?If the inter-arrival time and service time in a public telephone booth with a single phone follow exponential distributions with means of 10 and 8 minutes respectively, find the average number of callers in the booth at any time.A recent study compared the heart rates of 19 infants born to non smoking mothers with those of 17 infants born to mothers who smoked an average of 15 cigarettes a day while pregnant and after giving birth. The heart rates of the infants at one year of age were 20% slower on the average for the smoking mothers. Could the results be due to confounding?
- If it was found that two variables have a statistically significant relationship, we conclude that one variable affects the changes in the other variable without further information. This statement is (select one) True False5. A pet food company randomly chooses two groups of 20 puppies for a study. One group eats a new brand of dog food and the other group eats an off-brand dog food for a period of 4 weeks. Researchers record muscular and skeletal growth rates in both groups. What type of study is being described?In 2019, investigators from Brown University would like to determine the relationship of nail polish remover and ovarian cancer in women. A cohort of n=1000 beauticians aged 18-64 years old was identified and followed up after five years. After the follow-up period, there were × = 20 new cases of breast cancer were diagnosed. It is known that the incidence of ovarian cancer over the time period for average American women is 7/1000. The researchers wish to determine if the incidence computed in this study is equal to the incidence known in America at 0.01 level of significance.
- A producer invents an additive to increase the life of an automobile battery he produces. If the mean lifetime of the automobile battery without the additive is 48 months, then her hypotheses areA producer invents an additive to increase the life of an automobile battery he produces. If the mean lifetime of the automobile battery without the additive is 48 months, then her hypotheses areAccording to the National Health and Nutrition Examination Survey (NHANES) sponsored by the U.S. government, a random sample of 712 males between 20 and 29 years of age and a random sample of 1,001 males over the age of 75 were chosen and the weight of each of the males were recorded (in kg). Do the data provide evidence that the younger male population weighs more (on average) than the older male population? Use “Y” for ages 20-29 and “S” for ages 75+. It was found that x̅Y=83.4, sY=18.7, x̅S=78.5, and sS=19.0. A) What are the correct null and alternative hypotheses? B)What is the parameter of interest? The difference between the mean weight of all males ages 20-29 and the mean weight of all males ages 75+ The mean weight (in kg) The difference between the mean weight of the sample of males ages 20-29 and the mean weight of the sample of males ages 75+ The mean difference between the weights of males ages 20-29 and males ages 75+ c)Is the randomness condition met for…According to the National Health and Nutrition Examination Survey (NHANES) sponsored by the U.S. government, a random sample of 712 males between 20 and 29 years of age and a random sample of 1,001 males over the age of 75 were chosen and the weight of each of the males were recorded (in kg). Do the data provide evidence that the younger male population weighs more (on average) than the older male population? Use “Y” for ages 20-29 and “S” for ages 75+. It was found that x̅Y=83.4, sY=18.7, x̅S=78.5, and sS=19.0. a) Is the normality condition met for this test? (see picture) No, since the histograms show skewness and outliers . Yes, since both sample sizes are larger than 30. No, since both sample sizes, nY and nS, are less than 30. Yes, since it was stated that the two populations are normally distributed. b)What are the correct degrees of freedom for this test? Group of answer choices 999 1000 1712 1711 711
- According to the National Health and Nutrition Examination Survey (NHANES) sponsored by the U.S. government, a random sample of 712 males between 20 and 29 years of age and a random sample of 1,001 males over the age of 75 were chosen and the weight of each of the males were recorded (in kg). Do the data provide evidence that the younger male population weighs more (on average) than the older male population? Use “Y” for ages 20-29 and “S” for ages 75+. It was found that x̅Y=83.4, sY=18.7, x̅S=78.5, and sS=19.0. a)Suppose the test statistic is t = 2.398. What is the associated p-value? Group of answer choices 0.001 < p-value < 0.002 0.005 < p-value < 0.01 0.01 < p-value < 0.02 0.0005 < p-value < 0.001 b) Suppose the p-value is 0.02 < p-value < 0.04. At α = 0.10 what is the appropriate conclusion to make? Group of answer choices Fail to reject H0 and conclude that the mean weight of all males ages 20-29 is greater than the mean weight of all…An investigator wants to test whether exposure to secondhand smoke before 1 year of life is associated with development of childhood asthma (defined as asthma diagnosed before 5 years of age). Give two possible study designs.Investigators enrolled 2,100 women in a study and followed them monthly to determine the incidence rate of heart disease. After one month of the first period of observation, none had a new diagnosis of heart disease, but 100 had died. In the second observation period which lasted for three months, 1 had a new diagnosis of heart disease within 1 month, and another 99 died within 2 months. In the third observation period which lasted for four months, another 7 had new diagnoses of heart disease and 793 died within 2 months. Calculate the incidence rate of heart disease among this cohort. Express in 2 decimal places as number of new cases per 1,000 person-time. Using step-by-step process Topic: Measures of Disease Frequency and Morbidity
