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Importance of Normal Distribution Curve and Its Applications in Psychology One such possible distribution or distribution pattern is the normal distribution. A normal distribution of variable values or data is a reasonable assumption on how data or variable values may be distributed in a population. In the normal distribution, the frequency count is distributed symmetrically to the left and right sides of the mean.

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The Normal Distribution and Probability On computing and comparing median for my town, Galion, this was $ 33,841 with that of Ohio, $45,395. It is clear that median is an effective measure as it divides the distribution into lower and upper halves. Given that an average of the data is likely to be affected and thus altered or influenced by extreme incomes in this case, it will be therefore not good to use mean as the measure of choice.

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Significance of Normal Distribution Gauss is a a German mathematician and astronomer. In 1807, Gauss proposed a principle of calculating an appropriate error distribution, which is now called normal or Gaussian distribution. In a normal distribution, the model's characteristics are exactly determined and regardless of biases from the population with which it is taken, approximate statistics will show on the sampling distributions.

2 Pages(500 words)Essay

StatisticsA variable that touches every value while changing its position is called a continuous variable. The examples include temperature, height, weight and time etc. On the contrary, discrete variable does not touch every value

2 Pages(500 words)Essay

T & M wk3Previously IQ score is calculated by using a particular method and that is the ratio of the person’s mental age (MA) and the person’s chronological age (CA) then this ratio is multiplied by 100. It means:
But in modern days this formula is not at all used. Instead of

4 Pages(1000 words)Essay

Stats122. For each of the following z-scores, sketch a normal distribution and draw a vertical line at the location of the z-score. Then,

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Normal DistributionThis is important when interpreting data because the best results can be attained through a sampling process that has very few outliers. Ideally, the number of participants, or variables, in a study should be totally random in order to attain validity. If a study

2 Pages(500 words)Essay

Homework: Week 6, Chapter 6The mean u will be 3.49, with the sample distribution of the offered means being almost a normal distribution. According to the presented

1 Pages(250 words)Essay

Distribution and GraphsOn either side of the peak is a tail, and the values are fewer. For normally distributed data, the tails are almost uniform in length.
By joining the same high school class study group, the indication

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Data AnalysisThe interquartile range is given as Q1=161 and Q3 is 227.5. It is worth noting that there are no outliers within the data hence range remains 110. The non-existence of outliers in the box and whisker plot represents a normal

2 Pages(500 words)Essay

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