In order to use thet distribution, you will first need to determine the degrees of freedom (df) for a = 0.05. The degrees of freedom (df) is critical value of t is The Your sample of 12-year-old children with antisocial tendencies has an average score of 12.55 with a standard deviation of 3.28. Calculate the t statistic. To do this, you will first have to calculate the estimated standard error. The estimated standard error is_▼ . The t statistic is . (Hint: For the most precise results, retain four significant figures from your calculation of the standard error to calculate the t statistic.) The t statistic lie in the critical region. Therefore, you reject the null hypothesis. Based on the results of this test, there enough evidence to conclude that children with antisocial tendencies have greater difficulty recognizing sadness than do children without antisocial tendencies.

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In order to use the t distribution, you will first need to determine the degrees of freedom (df) for a = 0.05. The degrees of freedom (df) is
The
critical value of t is
Your sample of 12-year-old children with antisocial tendencies has an average score of 12.55 with a standard deviation of 3.28.
Calculate the t statistic. To do this, you will first have to calculate the estimated standard error. The estimated standard error is
. (Hint: For the most precise results, retain four significant figures from your calculation of the standard error to calculate the t statistic.)
Z . The t statistic is
The t statistic
lie in the critical region. Therefore, you
reject the null hypothesis.
Based on the results of this test, there
enough evidence to conclude that children with antisocial tendencies have greater difficulty
recognizing sadness than do children without antisocial tendencies.
Transcribed Image Text:In order to use the t distribution, you will first need to determine the degrees of freedom (df) for a = 0.05. The degrees of freedom (df) is The critical value of t is Your sample of 12-year-old children with antisocial tendencies has an average score of 12.55 with a standard deviation of 3.28. Calculate the t statistic. To do this, you will first have to calculate the estimated standard error. The estimated standard error is . (Hint: For the most precise results, retain four significant figures from your calculation of the standard error to calculate the t statistic.) Z . The t statistic is The t statistic lie in the critical region. Therefore, you reject the null hypothesis. Based on the results of this test, there enough evidence to conclude that children with antisocial tendencies have greater difficulty recognizing sadness than do children without antisocial tendencies.
Antisocial personality disorder (ASPD) is characterized by deceitfulness, reckless disregard for the well-being of others, a diminished capacity for
remorse, superficial charm, thrill seeking, and poor behavioral control. ASPD is not normally diagnosed in children or adolescents, but antisocial
tendencies can sometimes be recognized in childhood or early adolescence. James Blair and his colleagues have studied the ability of children with
antisocial tendencies to recognize facial expressions that depict sadness, happiness, anger, disgust, fear, and surprise. They have found that children
with antisocial tendencies have selective impairments, with significantly more difficulty recognizing fearful and sad expressions.
Suppose you have a sample of 40 12-year-old children with antisocial tendencies and you are particularly interested in the emotion of sadness. The
average 12-year-old has a score on the emotion recognition scale of 11.80. (The higher the score on this scale, the more strongly an emotion has to
be displayed to be correctly identified. Therefore, higher scores indicate greater difficulty recognizing the emotion). Assume that scores on the
emotion recognition scale are normally distributed.
You believe that children with antisocial tendencies will have a harder time recognizing the emotion of sadness (in other words, they will have higher
scores on the emotion recognition test).
What is your null hypothesis stated using symbols?
Ho: Hantinocial = Hgeneral population
What is your alternative hypothesis stated using symbols?
H1: Hantisocial + Pgeneral population
This is a one-
tailed test. Given what you know, you will evaluate this hypothesis using a
statistic.
Using the Distributions tool, locate the critical region for a = 0.05.
Transcribed Image Text:Antisocial personality disorder (ASPD) is characterized by deceitfulness, reckless disregard for the well-being of others, a diminished capacity for remorse, superficial charm, thrill seeking, and poor behavioral control. ASPD is not normally diagnosed in children or adolescents, but antisocial tendencies can sometimes be recognized in childhood or early adolescence. James Blair and his colleagues have studied the ability of children with antisocial tendencies to recognize facial expressions that depict sadness, happiness, anger, disgust, fear, and surprise. They have found that children with antisocial tendencies have selective impairments, with significantly more difficulty recognizing fearful and sad expressions. Suppose you have a sample of 40 12-year-old children with antisocial tendencies and you are particularly interested in the emotion of sadness. The average 12-year-old has a score on the emotion recognition scale of 11.80. (The higher the score on this scale, the more strongly an emotion has to be displayed to be correctly identified. Therefore, higher scores indicate greater difficulty recognizing the emotion). Assume that scores on the emotion recognition scale are normally distributed. You believe that children with antisocial tendencies will have a harder time recognizing the emotion of sadness (in other words, they will have higher scores on the emotion recognition test). What is your null hypothesis stated using symbols? Ho: Hantinocial = Hgeneral population What is your alternative hypothesis stated using symbols? H1: Hantisocial + Pgeneral population This is a one- tailed test. Given what you know, you will evaluate this hypothesis using a statistic. Using the Distributions tool, locate the critical region for a = 0.05.
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