Review 5
... From Table A-2 we see that the critical value for the one-tailed test at significance level 0.01 is 2.33. Because the critical value is smaller than the test statistics we reject the nullhypothesis. From Table A-2 we see that the P-value is smaller than 0.0001 (Indeed, it can be computed that the P- ...
... From Table A-2 we see that the critical value for the one-tailed test at significance level 0.01 is 2.33. Because the critical value is smaller than the test statistics we reject the nullhypothesis. From Table A-2 we see that the P-value is smaller than 0.0001 (Indeed, it can be computed that the P- ...
Sampling distributions
... The z for means is similar, but X is replace by X̄ , and σ is replaced by σ X̄ , thusly: z = (X̄ - µ)/σ X̄ . Now we can use the Unit Normal Table to determine p for means, just like we did to determine p for individual scores. Practice exercises & examples . . . More on standard error of the mean A ...
... The z for means is similar, but X is replace by X̄ , and σ is replaced by σ X̄ , thusly: z = (X̄ - µ)/σ X̄ . Now we can use the Unit Normal Table to determine p for means, just like we did to determine p for individual scores. Practice exercises & examples . . . More on standard error of the mean A ...
9.1 Sampling Distribution
... Parameter: a number that describes the population. Most often, this is not known. Statistic: a number that can be computed from a sample. Oftentimes used to estimate the population parameter. • Sampling variability: the value of a statistic varies in repeated random sampling (think of the pennies) ...
... Parameter: a number that describes the population. Most often, this is not known. Statistic: a number that can be computed from a sample. Oftentimes used to estimate the population parameter. • Sampling variability: the value of a statistic varies in repeated random sampling (think of the pennies) ...
How to calculate variance and standard deviation
... To illustrate the variability of a group of scores, in statistics, we use "variance" or "standard deviation". We define the deviation of a single score as its distance from the mean: Variance is symbolized by 2. Standard Deviation is . N is the number of scores. ...
... To illustrate the variability of a group of scores, in statistics, we use "variance" or "standard deviation". We define the deviation of a single score as its distance from the mean: Variance is symbolized by 2. Standard Deviation is . N is the number of scores. ...