Beware the dangers of google google is a great tool, but it is necessary to be skeptical and evaluate the provided results. for example, upon google searching "standard error of the difference between two means" the first hit is a link to a web page from keane university where the equation for the standard error of the difference between two means is given as se w21-u2 however, the text book gives the equation below as the standard error for the difference between two means as se--= why are these two formulas different? how can you tell? which one is correct? se is the equation for the standard error of two population means, while is the equation for the standard error of two sample means. is the equation for the standard error of two sample means, while is the equation for the standard error of two population means. the population parameter equation is only correct to use when the data set encompasses the entire population the sample statistic equation is correct to use when the data set is from a subset of the entire population greek letters are usually used in the equations for population parameters, while latin letters are usually used in the equations for sample statistics latin letters are usually used in the equations for population parameters, while greek letters are usually used in the equao for sample statistics the distribution of body size of chiggers (as measured by weight) is known to be log-normal (that is, size is normally distributed if log transformed). the log-transformed mean weight of 11 female and 9 male chiggers are listed in the table below female male log-transformed mean weight (mg) 29.18 19.51 standard deviation .97 4.76 solve for the standard error of the difference between two means. round your answer to 3 decimal places. question9 to examine the potential effects on the transmission of dengue, bian et al. (2010) infected mosquitoes from both the wb1 (laboratory created) strain and the original wild strain with dengue. fourteen days later, the mosquitoes were allowed to feed on an artificial food solution for 90 minute. viral titers in the food solution were then measured in plague feeding units per ml. the results are given below. mosquitoes were tested in groups, and so each data value is an average for the group, measured in plaque feeding units per ml. the data have already been log-transformed using log(+1), to better visualize the differences wb1: n1-9 r1-40.5 wild: n2-12 r2-3 h0: the distribution of viral titers is the same between the two strains ha, the distribution of viral titers is not equal the data has been ranked from smallest to largest and the rank sum (r1. r2) for each data set are listed above. carry out a mann-whitney u-test on the wb1 data and solve for u1. answer to one decimal place match the transformation name with appropriate formula. arcsine transformation antilog transformation reciprocal transformation square transformation square-root transformation a. b. p" = arcsin [vp] d. e.