Question

Discuss and contrast the utility of hospital and neighborhood controls

PPH4801MPHDHM9 Jan/Feb 2018 9 Suppose we took 5000 random samples from the Ca sample containing 100 computed A fornia all-discharge data set, each discharges For each of the 5 000 samples, the sample mean was uted histogram was then created with the 5 000 sample mean values the following statements most likely descrbes this histogram 1 The histogram will look approximately like a normal distribution because the sıze of each sample is large, and the Central Limt Theorem applies samps number of samples is large, and the Central Limt Theorem applies ill look approximately like a normal distribution because the 3 The histogram will appear to be nght skewed 4 The histogram will appear to be left skewed 10 Suppose we compared 2 random samples taken from the Calfornia all-discharge atabase descnbed above Sample A is a random sample with 100 discharges Sample b is a random sample with 2000 discharges What can be sad about the relationship between the sample standard error in Sample A (SEA) relative to the sample standard error of length-of-stay value in Sample B (SEa)? 2 SEA SEB 3 SEA IS exactly equal to SEs 4 Not enough information given to determine relationship between the two standard errors A survey is performed to estimate the proportion of a 18-year old females who have had a recent sexually transmitted disease (STD) defined as an STD in the past year Ina random sample of 300 women, 200 have agreed to particpate Based on these 200 women, a 95% confidence interval for the proportion who had a recently sexually transmitted disease was 0 10 to 0 21 11 Which of the following is true about the proportion who had a recent STD among the 100 who did not agree to participate in the survey 1 The proportion will definitely be in the interval 0 10 to 021 2 The proportion will definitely not be in the interval 0 10 to 0 21 Proportion will be in the interval 0 10 to 0 21 wth 95% confidence 4 No general statement can be made without additional informaton

Answer 1

Q. No 9 . Answer : is '1'

The histogram will look approximately like normal distribution because the size of the each samples is large and central limit theorism is applies samples.

Because, histogram is used to display the statistical information in rectangles form and also it shows the frequency of data items in a numerical intervals of equal size.

Here the from the each 5000 sample 100 discharges are seeing. And central limit theorism is applied for large samples.

So the answer is '1'.

Q. No 10. Answer : is '1'

Because the sample size increases the standard errors may decreases.

Here sample A =100

sample B =2000

As this information shows B is high sample, so that the sample error may decreases.

So SE_{A <} SE_B.

Q. No. 11. Answer : is '3'

Because, proportion will be in the interval 0 10 to 0 21 with 95% confidence interval.

So the answer is '3'.