The standard deviation of the lengths of hospital stay on the intervention ward is 8.5 days. Complete parts (a) through (c) below. a. For the variable "length of hospital stay," determine the sampling distribution of the sample mean for samples of 62 patients. The standard deviation of the sample mean is o; ] days. (Round to four decimal places as needed.) b. The distribution of the length of hospital stay is right skewed. Does this invalidate your result in part (a)? Explain your answer. O A. No, because if x is normally distributed, then x must be normally distributed. O B. Yes, because the sample sizes are not sufficiently large that x will be approximately normally distributed, regardless of the distribution of x. OC. Yes, because x is only normally distributed if x is normally distributed. O D. No, because the sample sizes are sufficiently large that x will be approximately normally distributed, regardless of the distribution of x. c. Obtain the probability that the sampling error made in estimating the population mean length of stay by the mean lengt of stay of a sample of 62 patients will be at most 2 days. The probability is approximately

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.