Table below contains the percentage of woman receiving prenatal care in 2009 for a random sample of countries ('Pregnant woman receiving,' 2013). Estimate the mean percentage of woman receiving prenatal care in all countries in 2009 using a 93% confidence interval. percentage of woman receiving prenatal care in percent 80.6

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Table below contains the percentage of woman receiving prenatal care in 2009 for a random sample of countries ('Pregnant woman receiving,' 2013). Estimate the mean percentage of woman receiving prenatal care in all countries in 2009 using a 93% confidence interval.

percentage of woman receiving prenatal care in percent
80.6
93
81.9
95.8
97.95
97.9
92.41
96.24
79.23
88.4
95.8
91.8
96.23
93.2
79.23
95
92.47
99.1
80.34
79.23
87.7
97.3
91.5
93.8
86.3
98.2
100
93.4
99
93.63
99
92.1
93.68
100
92.2
79.23
79.23
87.76
94.51
94.3

P: Parameter

     What is the correct parameter symbol for this problem?

               

     What is the wording of the parameter in the context of this problem?

            

A: Assumptions

  • Since     information was collected from each object, what conditions do we need to check?  Check all that apply.

    

  • np≥10np≥10
  • σσ is known
  • N≥20nN≥20n
  • n≥30n≥30 or normal population
  • n(1−pˆ)≥10n(1-p̂)≥10
  • n(pˆ)≥10n(p̂)≥10
  • outliers in the data
  • n(1−p)≥10n(1-p)≥10
  • no outliers in the data
  • σσ is unknown



     Check those assumptions:

          1. Is the value of σσ known?    

 

          2. Given the following modified boxplot (If using a screenreader, use technology to generate a boxplot, then answer the question below):

7580859095100percentage of woman receiving prenatal care in percent79.2387.7393.396.235100[Graphs generated by this script: setBorder(15); initPicture(75,100,-3,6);axes(5,100,1,null,null,1,'off');text([85.385,-3],"percentage of woman receiving prenatal care in percent");line([79.23,2],[79.23,4]); rect([87.73,2],[96.235,4]); line([93.3,2],[93.3,4]);line([100,2],[100,4]); line([79.23,3],[87.73,3]); line([96.235,3],[100,3]);fontsize*=.8;fontfill='blue';text([79.23,4],'79.23','above');text([87.73,4],'87.73','above');text([93.3,4],'93.3','above');text([96.235,4],'96.235','above');text([100,4],'100','above');fontfill='black';fontsize*=1.25;]

How can we identify outliers on a modified boxplot?    

Are there any outliers?        

          3. nn=  which is     

              Is it reasonable to assume the population is normally distributed?        

N: Name the procedure

     The conditions are met to use a        .

I: Interval and point estimate

     The symbol and value of the point estimate are as follows:

     (Round answer to 3)

                =  percent

     The interval estimate for            is as follows:

     (Round endpoints to 3 decimal places and use units exactly as stated in the problem)

     ( ,  )


C: Conclusion 

  • We are  % confident that         is between  percent and  percent
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