The manager of the commercial mortgage department of a large bank has collected data during the past two years concerning the number of commercial mortgages approved per week. The results from these two years (
The probability that a randomly selected 40-year-old male will live to 41 years old is 0.99718 and the probability that a randomly selected…
The probability that a randomly selected 40-year-old male will live to 41 years old is 0.99718 and the probability that a randomly selected 40-year-old female will live to 41 years old is 0.99856 (National Vital Statistics Report, Vol. 48, No. 18) Question 1. A life insurance company has sold insurance policies to 100 40-year-old males. What is the probability that at least one of these males will not live to be 41 years old? Assume that deaths of 40-year-old males are independent. (use 3 decimal places in your answer) Question 2. A life insurance company has sold insurance policies to 100 40-year-old […]
Question 3 Part a) The mean of the sample was calculated as 500. The sample of 25 observations was randomly drawn from a population whose standard…
Question 3 Part a) The mean of the sample was calculated as 500. The sample of 25 observations was randomly drawn from a population whose standard deviation is 15. Estimate the population means with 99% confidence. Part b) A random sample of 5 observations was drawn from a normal population. The sample mean and standard deviation are X =175 and s=30. Estimate the population mean with 90% confidence.
An interval estimate for the average distance car tyres lasted during their “lifetime” was reported to be 32168 km to 37892 km. This interval…
An interval estimate for the average distance car tyres lasted during their “lifetime” was reported to be 32168 km to 37892 km. This interval estimate was based on a sample of 52 typres. The variance of the lifetime was determined from previous studies to be 50865424 km squared. What level of confidence can be attributed to this interval estimate? State your answer as a percentage, correct to the nearest whole number.
the mean value of land and buildings per acre from a sample of farms is $1500 with a standard deviation of $200 the data set has a bell shaped…
the mean value of land and buildings per acre from a sample of farms is $1500 with a standard deviation of $200 the data set has a bell shaped distribution. assume the number of farms in the sample is 73 (a) use the empirical rule to estimate the number of farms whose land and building values per acre are between $1100 and $1900 (b) if 23 additional farms were sampled about how many of these additional farms would you expect to have land and building values between $1100 per acre and $1900 per acre
