Can you explain number 2 A and B
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.
Can you explain number 2 A and B I'm not sure how to explain them.
Answer a:
The slope of the regression equation is referred to as how much the value of y changes with the unit change in x. Consider x represents row and y represents the scores.
The slope of the regression equation is utilized to measure the linear relationship between the independent and dependent variables. The slope of the regression equation is denoted as b. In this case, the estimated value of b is -1.1171. The negative sign of slope b indicates that the line is downward sloping i.e. there is a negative relationship between x and y variables. It can be interpreted as for each additional unit of x, the value of y decreases by 1.1171 units. Therefore, the slope elucidates that on average, the scores decrease -1.1171 as the row increases.
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