The figure to the right shows the results of a survey in which 1013 adults from Country A, 1001 adults from Country B, 1021 adults from Country C, 1018 adults from Country D, and 1010 adults from Country E were asked whether national identity is strongly tied to birthplace. National Identity and Birthplace People from different countries who believe national identity is strongly tied to birthplace Country A 33% Country B 20% Country C 25% Country D 49% Country E 14% Construct a 95% confidence interval for the population proportion of adults who say national identity is strongly tied to birthplace each country list The 95% confidence interval for the proportion of adults from Country A who say national identity is strongly tied to birthplace is ( 0.301,0.359 ). (Round to three decimal places as needed.) The 95% confidence interval for the proportion of adults from Country B who say national identity is strongly tied to birthplace is (0.175, 0.225 ). (Round to three decimal places as needed.) The 95% confidence interval for the proportion of adults from Country C who say national identity is strongly tied to birthplace is (0.223 , 0.277) (Round to three decimal places as needed.) The 95% confidence interval for the proportion of adults from Country D who say national identity is strongly tied to birthplace is (Round to three decimal places as needed.)
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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