Not exact matches
If compensation for
variable annuities is higher
than other investments, an advisor better be able to justify the
difference.
The most striking
differences were in the pitch of the introductory notes that preface the birds» songs, with Western Lowland thrushes producing higher, more
variable introductory notes
than their relatives elsewhere.
The performance
differences, however, while statistically significant, are much smaller
than those found in the NAEP analysis, which supports the view that control
variables used in the NAEP models are biased against private schools.
Variables that measure student
differences based on participation in government programs are problematic, however, especially when comparing different school sectors, since government - run public schools are much more likely to participate in such programs
than are privately run schools, even if both types of schools have similar student populations.
Without controlling for other
variables, black students are 2.6 percentage points more likely to be in special education
than whites, though the
difference is not statistically significant.
This is in part because there are many other influences on student gains other
than individual teachers, and in part because teachers» value - added ratings are affected by
differences in the students who are assigned to them, even when statistical models try to control for student demographic
variables.
William (2007) points out that the most important
difference between the most effective and least effective classrooms is the teacher, but goes on to say that the most important
variable appears to be what these teachers do in classrooms rather
than what they know.
Packed with its traditional points of
difference — a continuously
variable transmission, horizontally - opposed engine, all - wheel drive — the latest Liberty is focused more
than ever on safety with an impressive array of standard safety equipment on offer.
So the variance of either the sum or the
difference between two
variables can be smaller
than the variance of either.
The statistical analyses (Table FE3) indicated that: (1) there are statistically significant
differences in carbon dioxide emission factors across both coal rank and State of origin; (2) coal rank and State of origin each explain approximately 80 percent of the variation in carbon dioxide emission factors; and (3) State of origin combined with coal rank is a slightly more powerful explanatory
variable than either coal rank or State of origin alone.
They are now quite complex and factor in things like;
variable output by the sun, variations in the earth's orbit around the sun, greenhouse gases AND dust from volcanoes, greenhouse gases from decay in wetlands and from agriculture (rice paddies are artificial wetlands),
differences in the reflectivity («albedo») of different surfaces (grass reflects more sunlight
than forest, and ice much more
than open water etc.)... and there are many more.
The main
difference is that a
variable policy's cash value is invested in a number of mutual fund - like sub-accounts rather
than a savings account.
Even with these requirements in mind, it is very difficult to identify average rates or typical costs for ATV insurance because of additional
variables other
than state and regional
differences.
* For a
variable life insurance policies, if you withdraw a greater amount of cash value
than the total amount you've paid in premiums, you pay taxes on the
difference.
Finally audio quality is slightly higher on Bluetooth systems
than on Wi - Fi systems (all other
variables the same) simply because of the nature of the transmission; practically speaking this is a non-consideration; however, as under casual listening conditions the
difference would be indiscernible to most.
It should be noted that sales of second - hand GPUs are more common in EU countries
than in the US, probably due to
differences in electricity costs and other
variables that affect profitability of mining.
Similarly, the size of between - group
differences in depressive symptoms may vary between studies that used groups matched on sociodemographic
variables and studies that did not control for these between - group
differences, because the lack of control for demographic
variables may cause unsystematic bias rather
than a general overestimation or underestimation of between - group
differences in depressive symptoms.
Cecilia Saulters - Tubbs found that district attorneys were less likely to file charges against female drug offenders
than against male offenders, while Donna Bishop and Charles Frazier found, similarly, that boys were treated more punitively
than girls for delinquency offenses and that girls were less likely
than boys to receive a sentence involving incarceration.10 Such studies suggest that the system treats girls as less criminally dangerous
than boys.11 Other research, however, notes that once legal
variables are controlled, girls are treated similarly to boys in the early stages of court processing but more harshly in the later stages.12 Earlier studies pointing toward more «chivalrous» treatment of girls may thus have failed to consider
differences in the underlying seriousness of the offenses involved.
This contextual emphasis further reinforces the findings on cultural
differences in cognitive styles (for instance, Nisbett, 2003; Choi, Nisbett, & Norenzayan, 1999) that East Asians tend to attribute cause of events to external or contextual
variables rather
than internal
variables as compared to the western counterparts.
There were no significant
differences in any of the study
variables between participants who remained or had dropped out of the study at Time 6 (− 1.44 ≤ ts ≤ 1.38, ns), but more males
than females had dropped out of the study (χ2 (1) = 13.32, p < 0.01).
No significant
differences with an effect size larger
than Cohen's d = 0.10 emerged when respondents were compared with those who actively declined participation and those who ignored the study, and the combination of the latter two groups (non-participants) based on
variables derived from their postal addresses.
Controlling for this
variable reduces the possibility that
differences in relationship satisfaction are due to self - esteem, rather
than due to the influence of pregnancy.
Chi square analyses and t - tests were conducted to examine potential
differences in the demographic, predictor, and outcome
variables as a function of accelerometer wear adherence (wearing the accelerometer for less
than 4 versus 4 or more days).
There are more similarities
than differences in the effects of parenting and child
variables in different ethnic groups.