Age (years) Observed Number in the Village Percent of Canadian Population Under 5 5 to 14 7.2% 52 13.6% 82 15 to 64 67.1% 278 65 and older 12.1% 43 Use a 5% level of significance to test the daim that the age distribution of the general Canadian population fits the age distribution of the residents of Red Lake Vitag (a) What is the level of significance? State the null and alternate hypotheses. O Ho: The distributions are different. H: The distributions are different. O Ho: The distributions are different. H: The distributions are the same. O Ho: The distributions are the same. H: The distributions are the same. O Ho: The distributions are the same. Ha: The distributions are different. (b) Find the value of the chi-square statistic for the sample. (Round your answer to three decimal places.) Are all the expected frequencies greater than 57 Yes ONo What sampliing distribution will you use? uniform O Student's t binomial
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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