In a study of claim payment times, you are given: (i) The data were not truncated or censored. (ii) At most one claim was paid at any one time. The Nelson-Aalen estimate of the cumulative hazard function, H(), immediately following the second paid claim, was 23/132. (iii) Determine the Nelson-Aalen estimate of the cumulative hazard function, H(t), immediately following the fourth paid claim. (A) 0.35 (B) 0.37 (C) 0.39 (D) 0.41 (E) 0.43
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- A research center claims that 29% of adults in a certain country would travel into space on a commercial flight if they could afford it. In a random sample of 800 adults in that country, 31% say that they would travel into space on a commercial flight if they could afford it. At a=0.05, is there enough evidence to reject the research center's claim? Complete parts (a) through (d) below. (a) Identify the claim and state H0 and Ha. Identify the claim in this scenario. Select the correct choice below and fill in the answer box to complete your choice. (Type an integer or a decimal. Do not round.) A. The percentage of adults in the country who would travel into space on a commercial flight if they could afford it is not ______%. B. No more than ______% of adults in the country would travel into space on a commercial flight if they could afford it. C. ______% of adults in the country would travel into space on a commercial flight if they could afford it. D. At least ______% of…Given that s.e.(b) = 61 and the estimate is 32, what is the t-stat?For this problem, carry at least four digits after the decimal in your calculations. Answers may vary slightly due to rounding.A random sample of 5967 physicians in Colorado showed that 3116 provided at least some charity care (i.e., treated poor people at no cost). (a) Let p represent the proportion of all Colorado physicians who provide some charity care. Find a point estimate for p. (Round your answer to four decimal places.) (b) Find a 99% confidence interval for p. (Round your answers to three decimal places.) lower limit: upper limit: Give a brief explanation of the meaning of your answer in the context of this problem. We are 99% confident that the true proportion of Colorado physicians providing at least some charity care falls outside this interval. We are 99% confident that the true proportion of Colorado physicians providing at least some charity care falls within this interval. We are 1% confident that the true proportion of Colorado physicians providing at least…
- 2A local bank is using Winters' method with a = 0.2, B = 0.1, and y = 0.5 to forecast the number of customers served each day. The bank is open Monday through Friday. At the end of the previous week, the following seasonal indexes have been estimated: Monday, 0.95; Tuesday, 0.90; Wednesday, 0.80; Thursday, 1.25; Friday, 1.10. Also, the current estimates of level and trend are 20 and 1. After observing that 30 customers are served by the bank on this Monday, forecast the number of customers who will be served on each of the next five business days. Round your answers to one decimal place, if necessary. Tuesday Wednesday Thursday Friday Monday Forecast 22 25 23 29 31 X X X X1. (i) Place these variables in the following classification tables. For each table, summarize your observations and evaluate if the results are generally true.For example, salary is reported as a continuous quantitative variable. It is also a continuous ratio-scaled variable.a. Academic qualification b. Speed c. Sales volume of different companies d. Soft drink preference e. Duration of classes f. SAT scores g. Student rank in class h. Rating of a finance professor i. Number of home video screens j. Temperature in Celsius k. Salary (iI) A poll solicits a large number of college undergraduates for information on the following variables: the name of their cell phone provider (AT&T, Verizon, and so on), the numbers of minutes used last month (200, 400, for example), their satisfaction with the service (Terrible, Adequate, Excellent, and so forth), and employment status (full time, part time, unemployed) & marital status (married, divorced, single) of their parents. What is the…
- The following data represent the number of touchdown passes thrown by a particular quarterback during his first 18 seasons. Verify that Chebyshev's Theorem holds true by determining the percent of observations that fall within tone, two, a three standard deviations from the mean. " 16 17 34 37 37 30 35 21 19 31 30 33 28 19 16 29 24 What is the mean of the data set? x=(Type an integer or decimal rounded to two decimal places as needed.) What is the standard deviation of the data set? s= (Round to two decimal places as needed.) Calculate the interval xts. x+s = OD (Round to two decimal places as needed. Type your answer in interval notation.) What percentage of the data values fall within the interval xts? The percentage of data values that fall within the interval is % (Round to the nearest percent as needed.) Calculate the interval x+ 2s. x+2s = (D (Round to two decimal places as needed. Type your answer interval notation.) What percentage of the data values fall within the interval…Previous research showed that 15% percent of teenagers between the ages of 13 and 17 smoke. A study was conducted to examine the current proportion of US teenagers between the ages of 13 and 17 who smoke. A survey asked a random sample of 785 teenagers between the ages of 13 to 17 if they smoke. 71 of the surveyed teenagers responded that they smoke. The information above is for the question below.10. From the following data of the daily wage of 500 workers of a factory find the number of workers : (a) whose wages are more than Rs. 370 but not more than Rs. 400. (b) whose wages are less than Rs. 370 but not less than Rs. 350. 0412 Wages not exceeding Rs. 300 = 150 workers Wages not exceeding Rs. 350 = 180 workers Wages not exceeding Rs. 400 = 240 workers Wages not exceeding Rs. 450 = 400 workers Wages not exceeding Rs. 500 = 500 workersdo orw atnebute
- If P(A) = 0.52, P(B) = 0.45 and P(A u B) = 0.76, then P(B | A) = (Enter a number between 0 and 1, using two decimal points)cFor each of the below ACF plots which are obtained for a time series data of 4 different variables of interest: a) Explain the ACF plot. b) Describe what the raw data is likely to look like over time. c) What kind of variable is this plot likely to characterise (e.g., stock prices, exchange rates, temperature, etc.)?