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
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
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
(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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