6) True/False: The standard deviation of all possible sample means is called the standard error. 7) True/False: If a sample of a specific size are selected form a population and the means are computed, this distribution of the means is called the standard error of means. 8) True/False: You are told that a data set has a mean=median=mode, therefore you can use the Empirical Rule to estimate approximal what the cut off scores are for the 34% of the data. 9) True/False: You are NOT told that a data set has a mean=median=mode, thus you know nothing about the shape of the data therefore you can use the Chebyshev's Theorem to estimate approximal what the cut off scores are for the 37.5% of the data. 10) True/False: If the data is normally distributed or Bell shaped, we can say that if a score (raw score) is within 2 standard deviations of the mean the score is "usually,, or "likely,,. 11) True/False: When the distribution of the original variable is not normal, a sample size of 30 or more is needed (large n) to use a normal distribution to approximate the distribution of the sample means. The larger th sample, the better the approximation will be. 12) True/False: The formula x - x is used to gain information about an individual data value when the Z = S variable is normally distributed. Part II For all of the following problems use ONLY the Z table provided on pages 10 and 11 or (Table E in text book) grading Rubric!!! Remember for Part II you must include a statement! 1) If z =.86 what is the area to the right of the Z score. d) Berviez Answer (2 points)