34) If a population exhibits a skew of -5.00 and an excess kurtosis of 5.00 which of the following is true? The population mean exceeds the median. The population variance exceeds the standard deviation. The population standard deviation exceeds the variance. The population median equals the mean. The population median exceeds the mean.

Accordi the historical data, the life expectancy in Mexico is equal to the life expectancy in Spain. A new study has been made to see whether this has changea. Records of 205 individuals from Mexico who died recently are selected at random. The 205 individuals lived an average of 71.8 years with a standard deviation of 2.6 years. Records of 250 individuals from Spain who died recently are selected at random and independently. The 250 individuals lived an average of 71.2 years with a standard deviation of 3.0 years. Assume that the population standard deviation of the life expectancy can be estimated by the sample standard deviations, since the samples that are used to compute them are quite large. At the 0.05 level of significance, is there enough evidence to support the claim that the life expectancy, H1, in Mexico is not equal to the life expectancy, µ,, in Spain anymore? Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to at least three…

An insurance company is looking over accident statistics. They want to model the population of all drivers for the population parameter of the standard deviation and variance of the age of the driver involved in an automobile accident. They have a sample of 100 accidents from around the country. The age of the driver in each of these accidents is provided below. Use Excel to calculate the sample standard deviation and the sample variance. Round your answers to one decimal place. Do not round until you've calculated your final answer "Age of people in accident"48643346436728189044472440202747683248472248217347302918487364454920205066654187873417203176493089672222455023481746382942254720463119214227226621236675744621461969202048238851284918204522313823284939   Standard deviation:  Variance:

In a normal distribution, ____ of the distribution lies within one standard deviation of the mean. 50%. 68%. 95%. 99.7%.

Find the range, the standard deviation, and the variance for the given sample. Round non-integer results to the nearest tenth. 3, 4, 4, 5, 5, 6, 15 range       standard deviation       variance

Find the variance and the standard deviation (correct to two decimal places). 78, 89, 94, 94, 95 variance standard deviation

Find the variance and standard deviation. Round the variance to two decimal places and standard deviation to at least three decimal places.