NORMALITY. No purchase commitment of MW, or by which MW is bound, is materially in excess of the normal, ordinary and usual requirements of the Business or, in the opinion of the Stockholders, is at an excessive price.
NORMALITY. No purchase commitment of TBS, or by which TBS is bound, is materially in excess of the normal, ordinary and usual requirements of the Business or, in the opinion of the Stockholders, is at an excessive price.
NORMALITY. No purchase commitment of WGB, or by which WGB is bound, is materially in excess of the normal, ordinary and usual requirements of the Business or is at an excessive price.
NORMALITY. At least 10 successes (np ≥ 10) and 10 failures (n(1 − p) ≥ 10). Sta102 / BME102 (Xxxxx Xxxxxx) Lec 13 October 15, 2014 9 / 33 Sta102 / BME102 (Xxxxx Xxxxxx) Lec 13 October 15, 2014 10 / 33 Back to experimental design... Confidence intervals for a proportion Single population proportion Calculating the Confidence Interval Confidence intervals for a proportion Single population proportion The GSS found that 571 out of 670 (85%) of Americans answered the question on experimental design correctly. Estimate (using a 95% confidence interval) the proportion of all Americans who have a good intuition about experimental design? 670 Given: n = 670, pˆ = 571 = 0.85. Are CLT conditions met?
NORMALITY. No purchase commitment of BRITCO, or by which BRITCO is bound, is materially in excess of the normal, ordinary and usual requirements of the Business or, in the opinion of the Stockholders, is at an excessive price.
NORMALITY. At least 10 successes (np ≥ 10) and 10 failures (n(1 − p) ≥ 10). Sta102 / BME102 (Xxxxx Xxxxxx) Lec 14 March 4, 2015 9 / 32 Calculating the Confidence Interval Confidence intervals for a proportion Single population proportion . −standard error of the sample proportion is SE = . What isthe We are given that n = 670, pˆ = 0.85, we also just learned that the p(1 p) n 95% confidence interval for this proportion? CI = point estimate ± margin of error = point estimate ± critical value × SE The GSS found that 571 out of 670 (85%) of Americans answered the question on experimental design correctly. Estimate (using a 95% confidence interval) the proportion of all Americans who have the correct intuition about experimental design? 670 Given: n = 670, pˆ = 571 = 0.85. Are CLT conditions met?
NORMALITY. Before running the fixed-effects regression as described above, it was necessary to test the normality and correlation for each of the 12 variables in order to satisfy assumptions for the regression. The Xxxxxxx-Xxxx test was utilized to test from normal population. In this analysis, a W-value greater than 0.70 was set as the marker for normality. Given this marker, the majority of variables met the normality qualification; however, the variables of citizen petition, ideology, and public lands did not reflect a normal distribution. This can most likely be attributed to large sweeping measures that took place within a year interval. For example, from 2001-2003, the Xxxx administration created measures that severely limited individual’s ability to petition species’ listings, dramatically reducing the number or petitions for each state during these years (Melious 2001). For ideology, many states experience significant shifts in ideology during election years. Finally, public lands did not frequently reflect a normal distribution, due to the nature of acquiring federal land, which is typically in large parcels all at once and then very little movement for years (“Land Resources and Information” 2017). Correlation tests between variables were needed to avoid multicollinearity in the final analysis. To do this, the Xxxxxxx method tested correlation between all variables and is the most widely used to measure the degree of the relationship between continuous variables. To use Xxxxxxx, both variables should be normally distributed, thus this step followed the previous normality tests. The test outputs a correlation, shown with the variable r, in which values are ranked from - 1 to 1. The closer an r-value is to 0, the least related the two variables being tested are. In this analysis, variables related with r > 0.70 were considered correlated. The majority of correlations were not above r= 0.20. Table 1 below shows2 general summary statistics for the variables studied. Only the variables ideology and urbanization were above this value (r = 0.72), most likely due to the polarization in political values associated with urban and rural communities (Xxxxxx et. al 2018). Negative relationships were found with GDP and public land percentage (r = -0.14) and urbanization and public land percentage (r = -0.16). Perhaps most interesting was the relationship between environmental support and public land percentage (r = 0.39), as both variables were used similarly as indicato...
NORMALITY. Except as set forth in SCHEDULE 3.12, no purchase commitment of CMS, or by which CMS is bound, is in excess of the normal, ordinary and usual requirements of the Business or, in the opinion of the Stockholders, is at an excessive price.
NORMALITY. No purchase commitment of either of DBPC or MDC, or by which either of DBPC or MDC is bound, is in excess of the normal, ordinary and usual requirements of their respective Business or is at an excessive price.
NORMALITY. No purchase commitment of Company, or by which Company is bound, is in excess of the normal, ordinary and usual requirements of the Business or is at an excessive price.
