At the Olympic level of competition, even the smallest factors can make a difference between winning and losing. Previous research has found that Olympic marksmen shoot much better when they fire between heartbeats rather than during heartbeats (Pelton, 1983). The tiny vibration of a heartbeat appears to be enough to influence accuracy. A student at the University of Texas attempts to replicate the study with a group of collegiate marksmen. A group of collegiate marksmen (n= 6) fire a series of rounds while the student records heartbeats. For each shooter, a score is recorded for shots fired between and during heartbeats. Do the data support the earlier finding? Use alpha = .05. During Heartbeats 93 Shooter Between Heartbeats А 98 B 90 94 95 96 92 91 E 95 97 F 91 97 State the hypotheses, critical values with df and alpha = .05, use SPSS and attach the SPSS output (which you've pasted into a word document to save the trees!) AND highlight the test-statistic and any other pertinent information. Finally, answer the question stated above in bold-italics, AND state your conclusion using the 3-sentence APA format discussed in class. %3D
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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