625 500 375 250 125 7.5 15.0 22.5 30.0 Life Expectancy (yr) Dependent variable is: Gestation R-Squared = 72.2% Variable Coefficient Constant -39.5172 LifExp 15.4980 Gestation (days)

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data from the office for national Statistics show that the mean age at which men in greatbritain get married is 30.8 years (the Guardian, february 15, 2013). a news reporternoted that this represents a continuation of the trend of waiting until a later age to wed.a new sample of 47 recently wed british men provided their age at the time of marriage.these data are contained in the datafile britainMarriages. do these data indicate that themean age of british men at the time of marriage exceeds the mean age in 2013? test thishypothesis at a = .05. what is your conclusion?.

According to a 2006 survey conducted by the Center for Disease Control and Prevention (CDC), birth rates peak slightly between July and October each year. While a slight numerical increase in birth rates is often observed, this difference is assumed to be statistically non-significant. Thus, we would expect to see an equal number of people born during each month of the year in the United States. The "Birth Data.jasp" contains the birth months for 1380 babies (N = 1380) born during the year 2006 in the United States collected by the CDC. Conduct a Chi-Square Goodness of Fit Test at α = 0.05, to see if the number of babies born each month “fits” with the CDC’s assumptions about the population.   Identify the correct null hypothesis.   A. H0: The number of babies born throughout the year is equal across all 12 months B. H0: The number of babies born during the summer months is greater than the number of babies born during the rest of the year C. HA: The number of babies born in…

Please answer the following: You can use the graphing calculator-just explain how to input into calculator. A tire manufacturer beleives that the tread life of its snow tires can be described by a normal model with a mean of 32,000 miles and standard deviation of 2,500 miles. a) If you buy a set of these tires, would it be reasonable for you to hope that they last 40,000 miles? Explain. b) What proportion of these tires can be expected to last less than 30,000 miles? c) What proportion of these tires can be expected to last between 30,000 and 35,000 miles? d) Estimate the IQR of the tread lives.   e) In planning a marketing strategy, a local tire dealer wants to offer a refund to any customer whose tires fail to last a certain number of miles. However, the dealer does not want to take too big a risk. If the dealer is willing to give refunds to no more than 1 of every 25 customers, for what mileage can he be guaranteed these tires to last?

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…

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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) 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…