The sample data are summarized as follows: Muscat Dhofar n,=260 n=150 Mean cost =170 RO Mean cost Y: =125 RO y. =3050 ": -2525 o1 =745 0;=680 C,=12 RO C,=10 RO A previous study showed the number of kidney stone incidents in the Muscat to be 325 out of 100,000 population and the number in the Dhofar to be 320 out of 100,000. The population of the Muscat was 775,878, and the population of the Dhofar was 249,729, according to the 2010 census. a) Obtain the estimates of N, and N, , the numbers of kidney stone patients expected to be found in the Muscat and Dhofar regions. b) Obtain the average annual cost of hospitalization of the kidney patients of the two region combined with 95% confidence interval and interpret the results. c) Obtain the total annual hospitalization cost for kidney patients in the two region combined and place a bound on the error of estimation d) Is there any significant difference between average cost of hospitalization of the two regions? e) What information is needed to obtain the total hospitalization cost for kidney patients for entire Oman? f) Find the appropriate sample size n and stratum sample size n, and n, for estimating the population mean with a bound on the error of estimation equal to 50 RO, considering i) Optimum allocation, ii) Neyman allocation and, iii) proportional allocation.
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
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