Using the .01 significance level, did the different techniques have different effects? What type of test should you use to analyze this data? Single sample t test Dependent samples t test Independent samples t test Correlation/Regression One-way ANOVA Two-way (Factorial) ANOVA Chi-square
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
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To study the effectiveness of possible treatments for insomnia, a sleep researcher conducted a study in which four participants were instructed to count sheep (the Sheep Condition), four were told to concentrate on their breathing (the Breathing Condition), and four were not given any special instructions (the Control Condition). The average number of minutes taken for participants to fall asleep over the next seven days were:
Sheep condition: 39, 33, 42, 38
Breathing condition: 33, 25, 31, 27
Control condition: 44, 41, 38, 41
Using the .01 significance level, did the different techniques have different effects?
What type of test should you use to analyze this data?
Single sample t test
Dependent samples t test
Independent samples t test
Correlation/Regression One-way ANOVA
Two-way (Factorial) ANOVA
Chi-square
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