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God Told Me To (1976)
IMDB rating: 6.40
Plot: A rash of mass murders in NYC has the detective stumped. When asked why, all the perpetrators say “God told me to,” then kill themselves.
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God Told Me To
Directors: Cohen Larry
Actors: Lo Bianco Tony,Levene Sam,Drivas Robert,Kellin Mike,Lynch Richard,Williams Sammy,Roerick William,Rawlins Lester,Bellaver Harry,Patterson George,Steele Walter,Crime,Horror,Sci-Fi,Mystery,Thriller,
Help with Psychology and Statistics and I need desperate help!?
I got this table and I am not sure if it is correct but I need to know how to do the following questions?
NameSexAgeEthnicityAnxiety
John M42American10
AnnF46American8
PhillipM48American9
KeyshaF28African0
JosephM24American5
MollyF55American0
CarrieF24African6
What score on the pretreatment Revised Children’s Manifest Anxiety Scales (RCMAS) would correspond to an extremely high score? For example, would you expect less than 5 percent of the population to score this high?
What score on the pretreatment RCMAS would correspond to an extremely low score? For example, would you expect less than five percent of the population to score this low?
Can someone tell me how to find the Z scores on the scale I used? I would appreciate all the advice and help and if someone can suggest another another way to do this please let me know! God Bless and Thanks so much
you can’t do what your trying to do because you have too many qualitative variables…we need to use only quantitative. First things first..Z score is a projection of an individual piece of data and its position against the rest of the data through the measurement of standard deviation. Z= X – (population mean)/ standard deviation
didi o | Feb 07, 2010
Normally you would write that you are unable to draw any conclusions because of such a small sample size. Usually you wouldn’t percede with less the 10 data points unless the teacher specifide otherwise, because with such a small data amount you can not expect it to reflect anything on to the population.
If your talking about the population within the study. I would seperate them into groups of scores, 10s with 10s, 2s with 2s. And then calculate the percentage for each group. 0 as low, 10 as high.
But I still think this problem should be thrown out for its lack of solid data.
Auzel | Feb 07, 2010
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