Davirnoilc

2022-11-20

What is the relationship between effect size and sample size ?

- when the effect size is small large sample are needed

- when the effect size is large,large samples are needed

- regardless of effect size,large sample are generally necessary

- effect size and sample size are dependent on level power

- when the effect size is small large sample are needed

- when the effect size is large,large samples are needed

- regardless of effect size,large sample are generally necessary

- effect size and sample size are dependent on level power

Brooklyn Mcintyre

Beginner2022-11-21Added 18 answers

Put: $X=\mathrm{log}\left(\frac{\alpha}{\alpha +\beta}\right)=\mathrm{log}\left(\frac{1}{1+\frac{\beta}{\alpha}}\right)$

Then working in terms of X will ensure that the logarithm is always well defined. You then need to define another independent variable Y such that a linarization of Y in terms of small changes in $\alpha $ and $\beta $ does not become almost linearly dependent on the way the change in X depends on small changes in $\alpha $ and $\beta $. Since X depends on the ratio of $\alpha $ and $\beta $, you can choose Y to be a function of the product of $\alpha $ and $\beta $, so:

$Y=\alpha \beta $

might work well, at least you'll have elminated two potential problems with Newton-Raphson.

Then working in terms of X will ensure that the logarithm is always well defined. You then need to define another independent variable Y such that a linarization of Y in terms of small changes in $\alpha $ and $\beta $ does not become almost linearly dependent on the way the change in X depends on small changes in $\alpha $ and $\beta $. Since X depends on the ratio of $\alpha $ and $\beta $, you can choose Y to be a function of the product of $\alpha $ and $\beta $, so:

$Y=\alpha \beta $

might work well, at least you'll have elminated two potential problems with Newton-Raphson.

What is the range of the function $y={x}^{2}$?

The domain and range of $y=\mathrm{sin}x$ is

A)$R,[0,\mathrm{\infty}]$

B)$R,[-1,1]$

C)$R,[-\mathrm{\infty},\mathrm{\infty}]$

D)$R,[1,\mathrm{\infty}]$Mean of the squares of the deviations from mean is called the:

Variance

Standard deviation

Quartile deviation

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State the main limitations of statistics.

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Tell whether the statement is true or false : A data always has a mode.

In most cases,_____variables are not considered to be equal unless they are exactly the same.

A local newspaper in a large city wants to assess support for the construction of a highway bypass around the central business district to reduce downtown traffic. They survey a random sample of 1152 residents and find that 543 of them support the bypass. Construct and interpret a 95% confidence interval to estimate the proportion of residents who support construction of the bypass.

$3+3x3-3+3=?$What is the right answer and how?

Define lateral displacement.