Naturalistic Program Mean Physical Program 47.02 Median In-Class Program 34.96 51 Mode 43.26 35 Standard Deviation 45 44 33 8.30 44 2.02 2.73 Naturalistic Program 16 14 12 10 In-Class Program 16 Б 14 12 10 [33, (36.42857. (39.85714. (43.28571. (46.71428. (50.14285. (S3.57142. Physical Program (38, (39.285714. 16 14 (40.571428. 12 (41.857142. (43.142857. 10 (44.428571. (45.714285. 32,- (32.85714. (33.71428. (34.57142. (35.42857. (36.28571. (37.14285.
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.
Find any skewness or any outliers using the histograms and table given and list per each set. If no outliers, state none.
A) Naturalistic Histogram
Skewness:
Outliers:
B) Physical Histogram:
Skewness:
Outliers:
C) In-Class Histogram
Skewness:
Outliers:
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