1. A researcher used a sample of n =16 adults between the ages of 40 and 45. For each person, the researcher recorded the difference between the ratings obtained while smiling and the rating obtained while frowning. On average the cartoons were rated as funnier when the participants were smiling, with an average difference of MD = 1.6, with SS = 135. Are the cartoons rated as significantly funnier when the participants are smiling ? Use a one-tailed test with α = .05. The null hypothesis in words is: Group of answer choices There is no significant difference between the two conditions: smiling and frowning There is a significant difference between the two conditions: smiling and frowning The cartoons were not rated as significantly funnier when the participants were smiling than when the participants were frowning. The cartoons were rated as significantly funnier when the participants were smiling than when the participants were frowning. 2. The alternative hypothesis in symbols is: Group of answer choices H1: µ1= µ2 H1: µ1> µ2 H1: µD= 0 H1: µD≠ 0 H1: µD> 0 H1: MD = 1.6 H1: MD ≠ 1.6 H1: µD≤ 0 3. The critical t-value is 4. The t-statistic is 5. Your decision is Group of answer choices Reject the null hypothesis because the t-statistic is greater than the critical t-value Reject the null hypothesis because the t-statistic is not greater than the critical t-value Fail to reject the null hypothesis because the t-statistic is greater than the critical t-value Fail to reject the null hypothesis because the t-statistic is not greater than the critical t-value 6. Compute r2 to measure the size of the treatment effect. r2 is 7.Report the results in APA. Include r2 as a measure of the effect size.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
1. A researcher used a sample of n =16 adults between the ages of 40 and 45. For each person, the researcher recorded the difference between the ratings obtained while smiling and the rating obtained while frowning. On average the cartoons were rated as funnier when the participants were smiling, with an average difference of MD = 1.6, with SS = 135.
Are the cartoons rated as significantly funnier when the participants are smiling ? Use a one-tailed test with α = .05.
The null hypothesis in words is:
The alternative hypothesis in symbols is:
Your decision is
Compute r2 to measure the size of the treatment effect.
r2 is
7.Report the results in APA. Include r2 as a measure of the effect size.
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