Determine the relationship between your two measures for this sample (calculate r). Calculate t-statistic e. Report your decision. Then, report your results using standard APA format Height 67.00 64.00 66.00 67.00 62.00 65.00 63.00 62.00 63.00 63.00 63.00 64.00 64.00 63.00 63.00 61.00 61.00 66.00 64.00 70.00 66.00 62.00 65.00 64.00 66.00 67.00 63.00 63.00 68.00 65.00 70.00 74.00 70.00 72.00 68.00 71.00 70.00 69.00 70.00 69.00 67.00 65.00 64.00 70.00 66.00 67.00 75.00 73.00 72.00 76.00 69.00 70.00 70.00 65.00 72.00 72.00 71.00 68.00 72.00 68.00 Weight 165 130 140 150 100 110 145 130 140 135 145 180 170 140 110 110 115 120 145 170 140 150 140 135 155 160 125 135 190 140 175 175 190 175 155 205 170 170 175 190 135 175 150 200 160 135 210 210 185 215 145 175 200 135 180 195 165 160 190 180
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.
Determine the relationship between your two measures for this sample
(calculate r).
Calculate t-statistic
e. Report your decision. Then, report your results using standard APA format
Height
67.00
64.00
66.00
67.00
62.00
65.00
63.00
62.00
63.00
63.00
63.00
64.00
64.00
63.00
63.00
61.00
61.00
66.00
64.00
70.00
66.00
62.00
65.00
64.00
66.00
67.00
63.00
63.00
68.00
65.00
70.00
74.00
70.00
72.00
68.00
71.00
70.00
69.00
70.00
69.00
67.00
65.00
64.00
70.00
66.00
67.00
75.00
73.00
72.00
76.00
69.00
70.00
70.00
65.00
72.00
72.00
71.00
68.00
72.00
68.00
Weight
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110
145
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170
140
110
110
115
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145
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135
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160
125
135
190
140
175
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190
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155
205
170
170
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190
135
175
150
200
160
135
210
210
185
215
145
175
200
135
180
195
165
160
190
180
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