the University of Denver Infant Study Center to participate in one of a number of experiments between 1988 and 1991. Parents reported the birth month and the age at which their child was first able to creep or crat a đistance of 4 feet within 1 minute. The resulting data were grouped by month of birth: January, May, and September: Crawling age Birth month Mean St. dev. January 29.84 7.08 32 May 28.58 8.07 27 September 33.83 6.93 38 Crawling age is given in weeks. Assume the data represent three independent simple random samples, one from each of the three populations consisting of babies born in that particular month, and that the populatio of crawling ages have Normal đistributions. A partial ANOVA table is given below. Source Sum of squares DF Mean square F Groups 505.26 Error 53.45 Total What are the degrees of freedom for the groups term? O a. 94 Ob.3 OC 96 Qd2

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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.