its female counterpart (represented by the number 2). However‚ the male output is more skewed in its distribution where the symmetry of the female output has more equal and distinct meaning when viewing the kurtosis of the graph and hover around the mean of about 100. Although the Male output is more diverse‚ its concentration of variables is more spread out. I think we should take note that the amounts of female subjects were far lesser than the male so the raw visually data seems bias and in favor
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H. (1953). Sexual behavior in the human female. New York: W. B. Saunders. Plonsky‚ M Riley‚ E. P.‚ Lochry‚ E. A.‚ & Shapiro‚ N. R. (1979). Lack of response inhibition in rats prenatally exposed to alcohol. Psychopharmacology‚ 62‚ 47-52. Figure 2. Mean number of trials to learn a passive avoidance task as a function of age and maternal ethanol consumption in rats. Data based on Riley‚ Lockrey and Shapiro (1979).
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would finallybe able to afford to buy better clothes and would even be able to afford some designer labelslike Gucci or Channel. Furthermore‚ I would no longer be seen riding my motorcycle‚ as Iwould be driving a fancy car. To maintain this image would mean that I would not be able tosocialize with some of my friends at the teh tarik stall. I would now have to dine at the bestclubs in town and rub shoulders with only very special people.With more money‚ I would definitely be able to go on holidays
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vs power (n=4) athletes. A total of 13 subjects‚ including 8 males and 5 females‚ were included in the study. The subjects were divided into sporting types‚ such as endurance and power. Data collected from the Wingate test included peak power (W)‚ mean power (W)‚ time to peak (S)‚ minimum power (W) and fatigue index (%). When the peak power and fatigue index were considered together for endurance athletes‚ a significant relationship existed‚ but when peak power and fatigue index were considered together
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Charismatic Condition Mean 4.204081633 Standard Error 0.097501055 Median 4.2 Mode 4.8 Standard Deviation 0.682507382 Sample Variance 0.465816327 Kurtosis 5.335286065 Skewness -1.916441174 Range 3.5 Minimum 1.5 Maximum 5 Sum 206 Count 49 Confidence Level(95.0%) 0.196039006 In both the Charismatic and the punitive condition data sets there were 49 people surveyed. We know this because we were able to use descriptive statistics to show the count and that shows the number of people
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Steps in Writing an Autobiography When writing an autobiography‚ focus on FOUR major things: (1) who you are in life (how would you describe your personality)‚ (2) what life means to you‚ (3) what major life events or critical issues have had an impact on your life‚ and (4) what your outlook on the future is. The first things you do when writing an autobiography is start off with a lot of facts about your life; for example‚ when and where you were born‚ where
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the values of the data extend much farther to the left than to the right of the peak. The following histogram shows the number days from conception to birth for babies born at Smalltown Hospital. If the data you are analyzing are not skewed‚ use the mean as the measure of central tendency. In cases of great skewness‚ use the median as the measure of central tendency to avoid distortion by extreme values. You can usually assess skewness by simply eyeballing a histogram. To be precise about measuring
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does it mean for one to imagine? To first understand and comprehend‚ one must acknowledge the paramount‚ preeminent definition that corresponds with this minuscule seven letter word. In any English dictionary‚ the definition of the word “imagine” can be epitomized as “a mental image of something not present to the senses. Individualistically‚ the word “imagine” has an entirely different definition- it means‚ symbolizes and represents life and reality. You may be wondering “How can that mean life and
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167cm Median: about 170 cm 3rd quartile: Q3 About 174cm Estimated from the graph. 7. What is the inter-quartile range? Inter-quartile range: IQR=Q3-Q1=174-166=7cm 2015/6/2 !2 GAC010 AE2 Louis ID 8. Box plot 160 165 170 175 180 9. Find the mean and standard deviation (sd) ! (X − µ )2 = 6.5 !σ = 20 2015/6/2 !3 GAC010 AE2 Louis ID 10. Calculate the Pearson measure of Skewness (modal version)‚ and the Quartile measure of skewness. Are they good indicators of skew in the data? Give reasons
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At present computers are usually used in many walks of our life. What they mean for us? They have many applications in science‚ technology. Since they were invented in 1948 they have became necessary in our life. Even so computers have also some disadvantages.Using computers offers many pros. Firstly‚ owning to computers we can keep accounts‚ write personal letters and do our homework. It is much easier and more aesthetic to write something in computer and print it than type or pen. Also‚ computer
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