Calculate the 95% confidence interval for these set of data: 3.2, 3.3, 3.4, 3.3, 3.4 and 3.5 ppm a. 3.35 ±0.22 ppm Degrees of Freedom 80% 90% 95% 99% 99.9% b. 3.35 ±0.17 ppm 3.08 12.7 4.30 6.31 63.7 637 1.89 2.92 9.92 31.6 c. 3.35 ± 0.25 ppm 3 1.64 2.35 2.13 3.18 5.84 12.9 4 1.53 2.78 4.60 8.61 d. 3.35 ±0.11 ppm 5 1.48 2.02 2.57 4.03 6.87 1.44 1.94 245 5.96 e. 3.35 ±0.33 ppm 3.71 3.50 7 1.42 1.90 2.36 5.41 Please fill in the space with one of the follow ing characters ( a or b or e or d or e)
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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