Declare your null and research hypothesis State your Independent and Dependent Variable (with measurement and levels) State the statistical test you are going to use and why Should state the conclusions about assumptions State your alpha level Report your test statistic value, your degrees of freedom (DOF) and your p-value Report if you reject or FAIL TO REJECT your null and why Report your conclusion in a statistical manner (recommendation if applicable) Jittery is exploring the effects of caffeine on college students. Though caffeine is widely used to defer sleep and increase the available time per day to perform homework or improve attention in class, too much caffeine may have negative effects. Dr. Jittery believes fine motor control may be a good measure of the hypothesized negative effect, and creates a maze-tracing task that will allow her to collect data on how accurately subjects can move a pointer through the maze. 16 students are used. 8 students are given no espresso and another 8 students are given 6 shots of espresso. A counter will be kept to measure the number of times the subject bumps the pointer into a wall of the maze. Can we conclude that too much caffeine will affect the accuracy of the maze tracing? The following is collected: no espresso 6 cups of espresso 4 8 5 10 0 9 4 8 2 8 4 11 1 10 4 9
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.
- Declare your null and research hypothesis
- State your Independent and Dependent Variable
- (with measurement and levels)
- State the statistical test you are going to use and why
- Should state the conclusions about assumptions
- State your alpha level
- Report your test statistic value, your degrees of freedom (DOF) and your p-value
- Report if you reject or FAIL TO REJECT your null and why
- Report your conclusion in a statistical manner (recommendation if applicable)
- Jittery is exploring the effects of caffeine on college students. Though caffeine is widely used to defer sleep and increase the available time per day to perform homework or improve attention in class, too much caffeine may have negative effects. Dr. Jittery believes fine motor control may be a good measure of the hypothesized negative effect, and creates a maze-tracing task that will allow her to collect data on how accurately subjects can move a pointer through the maze. 16 students are used. 8 students are given no espresso and another 8 students are given 6 shots of espresso. A counter will be kept to measure the number of times the subject bumps the pointer into a wall of the maze. Can we conclude that too much caffeine will affect the accuracy of the maze tracing? The following is collected:
no espresso 6 cups of espresso
4 8
5 10
0 9
4 8
2 8
4 11
1 10
4 9
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