The difference of two numbers is the larger number is more than times the smaller number what

here is a difference in incomes between these two education levels. You may chose your level of significance and you levels of education you want to test. Please provide an explanation for why you chose these two levels, and the alpha level.

e difference between reported height and actual height was calculated. You're testing the claim that the mean difference is greater than 0.6. From the sample, the mean difference was 0.7, with a standard deviation of 0.74. Calculate the test statistic, rounded to two decimal places Incorrect

ard free energy G° by 18 kJ/mole, with A* having the higher G°. Use the table below to find how many more molecules will be in state A* compared with state A at equilibrium. If an enzyme lowered the activation energy of the reaction by 11.7 kJ/mole, how would the ratio of A to A* change? Table: RELATIONSHIP BETWEEN THE STANDARD FREE- ENERGY CHANGE, ∆G°, AND THE EQUILIBRIUM CONSTANT Hint: ∆G° represents the free-energy difference under standard conditions (where all components are present at a concentration of 1 mole/litter). From this table, we see that if there is a favourable free-energy change of –17.8 kJ/mole for the transition Y→ X, there will be 1000 times more molecules of X than of Y at equilibrium (K = 1000).

5%.Then the maximum of difference between M and N, is

help me understand how these two work. I think they both worth by donating hydrogen ions. If a reduction reagent can be used in a reaction, can electrolysis always be substituted in its place because it works by the same mechanism? Also, what is the difference in properties of different reduction reagents. For example magnesium vs zinc, they are both electropositive elemental metals. So will they always react the same but just at different rates?

ber and the smaller number is .

there was no Age and/or Sex entered) has been created. It is called Newmarket_Cleaned.csv. Data file: Newmarket_Cleaned.csv (Links to an external site.) . Direct HTTP link: https://unh.box.com/shared/static/p8x4xlbean3rlslmfskfu74fe89yjui8.csv Please use it for this problem. Consider the “Model 4” developed in class, which contained Age, Age^2, and Sex as independent variables. First re-create this model with the cleaned dataset (you will need to create the Age^2 column; you can verify your model summary against the one from class), and then proceed with this problem. Make the necessary changes to the model to incorporate Year as a categorical explanatory variable (you may need to change how R interprets the variable, before running this model). Does the year of the race seem to be related to mean finishing time, after taking into account the other variables in Model 4? Use the 0.05 significance level. Explain your work/logic, and key output to support your answer. Using the updated model, after accounting for age and sex, what is the expected difference in finishing times for runners from 2008 versus runners from 2004? Using the updated model, after accounting for age and sex, what is the expected difference in finishing times for runners from 2014 versus 2011? In the above, the directions are to treat Year as a categorical variable. Explain how the regression model would be different if it instead were treated as a numeric variable. What are the assumptions being made about the effect of Year in the two different approaches?

of the difference in minutes spent on site, what would be your unit of analysis (i.e. when conducting a t-test, we calculate means and variances of two samples. What does each data point represent in the samples?)? *

Hash( const string & key, const int h_size ) { unsigned int value = 0; for ( int i=0; i View More

Computer-Science