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- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Introduction_to_Statistics_in_the_Psychological_Sciences_(Cote_Gordon_Randell_and_Marvin)/zz%3A_Back_Matter/21%3A_Detailed_Licensing
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Introduction_to_Statistics_in_the_Psychological_Sciences_(Cote_Gordon_Randell_and_Marvin)/00%3A_Front_Matter/04%3A_LicensingA detailed breakdown of this resource's licensing can be found in Back Matter/Detailed Licensing.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Introduction_to_Statistics_in_the_Psychological_Sciences_(Cote_Gordon_Randell_and_Marvin)/02%3A_Hypothesis_Testing/2.02%3A_Chapter_8-_Introduction_to_t_TestsOnce we have our margin of error calculated, we add it to our point estimate for the mean to get an upper bound to the confidence interval and subtract it from the point estimate for the mean to get a...Once we have our margin of error calculated, we add it to our point estimate for the mean to get an upper bound to the confidence interval and subtract it from the point estimate for the mean to get a lower bound for the confidence interval:
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Introduction_to_Statistics_in_the_Psychological_Sciences_(Cote_Gordon_Randell_and_Marvin)/zz%3A_Back_Matter/10%3A_Index
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Introduction_to_Statistics_in_the_Psychological_Sciences_(Cote_Gordon_Randell_and_Marvin)/03%3A_Additional_Hypothesis_Tests
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Introduction_to_Statistics_in_the_Psychological_Sciences_(Cote_Gordon_Randell_and_Marvin)/02%3A_Hypothesis_Testing
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Introduction_to_Statistics_in_the_Psychological_Sciences_(Cote_Gordon_Randell_and_Marvin)/01%3A_Fundamentals_of_Statistics/1.03%3A_Chapter_3-_Measures_of_Central_Tendency_and_SpreadThe mean is the point on which a distribution would balance, the median is the value that minimizes the sum of absolute deviations, and the mean is the value that minimizes the sum of the squared devi...The mean is the point on which a distribution would balance, the median is the value that minimizes the sum of absolute deviations, and the mean is the value that minimizes the sum of the squared deviations. This pattern holds true for any skew: the mode will remain at the highest point in the distribution, the median will be pulled slightly out into the skewed tail (the longer end of the distribution), and the mean will be pulled the farthest out.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Introduction_to_Statistics_in_the_Psychological_Sciences_(Cote_Gordon_Randell_and_Marvin)/01%3A_Fundamentals_of_Statistics
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Introduction_to_Statistics_in_the_Psychological_Sciences_(Cote_Gordon_Randell_and_Marvin)/zz%3A_Back_Matter/20%3A_GlossaryExample and Directions Words (or words that have the same definition) The definition is case sensitive (Optional) Image to display with the definition [Not displayed in Glossary, only in pop-up on pag...Example and Directions Words (or words that have the same definition) The definition is case sensitive (Optional) Image to display with the definition [Not displayed in Glossary, only in pop-up on pages] (Optional) Caption for Image (Optional) External or Internal Link (Optional) Source for Definition "Genetic, Hereditary, DNA ...") (Eg. "Relating to genes or heredity") The infamous double helix CC-BY-SA; Delmar Larsen Glossary Entries Definition Image Sample Word 1 Sample Definition 1
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Introduction_to_Statistics_in_the_Psychological_Sciences_(Cote_Gordon_Randell_and_Marvin)/03%3A_Additional_Hypothesis_Tests/3.03%3A_Chapter_13-_Linear_RegressionThe formula for the slope is very similar to the formula for a Pearson correlation coefficient; the only difference is that we are dividing by the variance of X instead of the product of the standard ...The formula for the slope is very similar to the formula for a Pearson correlation coefficient; the only difference is that we are dividing by the variance of X instead of the product of the standard deviations of X and Y. Next, you use the variance of X and the covariance of X and Y to calculate the slope of the line, b. (The formula for calculating b was provided earlier.) After that, you use the means and the slope to find the intercept, a, which is given alongside b.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Introduction_to_Statistics_in_the_Psychological_Sciences_(Cote_Gordon_Randell_and_Marvin)/01%3A_Fundamentals_of_Statistics/1.05%3A_Chapter_5-_ProbabilityThus, the area in the body of z = 1.62 is equal to the area in the body for z = −1.62, though now—as illustrated in the middle distribution at the top of Table 5.1—the body will be the shaded area to ...Thus, the area in the body of z = 1.62 is equal to the area in the body for z = −1.62, though now—as illustrated in the middle distribution at the top of Table 5.1—the body will be the shaded area to the right of z. (When in doubt, drawing out your distribution and shading the area you need to find will always help.) Because the total area under the normal curve is always equal to 1.00, the area in the tail (Column C) is simply the area in the body (Column B) subtracted from 1.00 (1.00 − .9474 …
