For #22 - #27: The following are measurements of the heat-producing capacity (in millions of calories per ton) of random samples of five specimens each of coal from two mines: Mine 1: 8380 8210 8360 7840 7910 Mine 2: 7540 7720 7750 8100 7690 Below are the EXCEL outputs of the data at 95% confidence level: t-Test: Paired Two Sample for Means t-Test: Two-Sample Assuming Equal Vari MINE 1 MINE 2 MINE 1 MINE 2 Mean 8140 7760 Mean 8140 7760 Variance Observations Pooled Variance Variance 63450 42650 63450 42650 50 Observations Pearson Correlation -0.69059 53050 Hypothesized Mear df Hypothesized Mea df 4 81 t Stat 2.014279 t Stat 2.608621 P(T<=t) one-tail t Critical one-tail 0.015599 P(T<=t) one-tail t Critical one-tail 0.05712 2.131847 1.859548 P(T<=t) two-tail t Critical two-tail P(T<=t) two-tail R t Critical two-tail 2.306004 0.11424 0.031197 А. 2.776445 2. Which of the two excel output above is the correct result of the data. A. Choice A B. Choice B C. Both D. None
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.
Trending now
This is a popular solution!
Step by step
Solved in 2 steps