A sample of Thirty-Five 14 year old adolescent with antisocial tendencies have scores on the emotion recognition scale=13.10 S=4.63 population mean = 16 alpha level =.05 what's the summary and APÁ report Hypothetical QuestionDo adolescents with antisocial tendencies have selective impairments and are unableto recognize facial expression emotions.Hypothetical StatementAdolescents with antisocial tendencies have selective impairments and are unable torecognize facial expression emotionsData - Study OneA sample of thirty-five 14-year old adolescents, with antisocial tendencies have scoreson the emotion recognition scale= 13.10, s= 4.63, population mean = 16alpha level = .05%3DState Null HypothesisDo recognize their facial expressionState Alternative HypothesisN = 16 df 15 Mean 13.10Estimated standard error 1.1575Critical T boundaries 2.042T StatisticEstimated Cohen's dlevelPercentage variancelevelConfidence Interval at 95%Summary and APA report

Name: A sample of Thirty-Five 14 year old adolescent with antisocial tendenc
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Description: A sample of Thirty-Five 14 year old adolescent with antisocial tendencies have scores on the emotion recognition scale=13.10 S=4.63 population mean = 16 alpha level =.05 what's the summary and APÁ report Hypothetical QuestionDo adolescents with antis

The hypothesis test is, H0: µ=16 (The adolescents are able to recognize the facial expression.) H1:…

Answered: Hypothetical Question Do adolescents…

MATLAB: An Introduction with Applications

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A sample of Thirty-Five 14 year old adolescent with antisocial tendencies have scores on the emotion recognition scale=13.10 S=4.63 population mean = 16 alpha level =.05 what's the summary and APÁ report

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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