What is the attenuation constant in soft tissue?

If imaging depth is halved, which of these is true?

What is the final intensity if an initial intensity of 50mw/cm^2 goes through 6dB of attenuation

What is the attenuation coefficient of a 8 MHz probe

Shown below is a portion of a computer output for a regression analysis relating y (demand) and x (unit price).ANOVA   dfSSRegression  15048.818Residual463132.661Total478181.479    CoefficientsStandard ErrorIntercept80.3903.102x –2.1370.248​a.Perform a t test and determine whether demand and unit price are related. Let α = 0.05.b.Perform an F test and determine whether demand and unit price are related. Let α = 0.05.c.Compute the coefficient of determination and fully interpret its meaning. d.Compute the correlation coefficient and explain the relationship between demand and unit price.​

Shown below is a portion of a computer output for a regression analysis relating Y (dependent variable) and X (independent variable).ANOVA   dfSSRegression  1115.064Residual13  82.936Total      CoefficientsStandard ErrorIntercept15.5321.457x –1.1060.261​a.Perform a t test using the p-value approach and determine whether x and y are related. Let α = 0.05.b.Using the p-value approach, perform an F test and determine whether x and y are related.c.Compute the coefficient of determination and fully interpret its meaning. ​

The price of a particular brand of jeans has a mean of $37.99 and a standard deviation of $7. A sample of 49 pairs of jeans is selected. Use Excel to answer the following questions:a.What is the probability that the sample of jeans will have a mean price less than $40?b.What is the probability that the sample of jeans will have a mean price between $38 and $39?c.What is the probability that the sample of jeans will have a mean price within $3 of the population mean? ​

Using α = 0.04, a confidence interval for a population proportion is determined to be 0.65–0.75. If the level of significance is decreased, the interval for the population proportion _____.

Given below are seven observations collected in a regression study on two variables, x (independent variable) and y (dependent variable). xy  212  39  68  77  86  75  92 ​a.Develop the least squares estimated regression equation.b.At 95% confidence, perform a t test and determine whether the slope is significantly different from zero. c.Perform an F test to determine whether the model is significant. Let α = 0.05.d.Compute the coefficient of determination.​

In order to estimate the difference between the yearly incomes of marketing managers in the East and West of the United States, the following information was gathered: EastWest n1 = 40n2 = 45  = 72 (in $1000s) = 78 (in $1000s) s1 = 6 (in $1000s)s2 = 8 (in $1000s)​a.Develop an interval estimate for the difference between the average yearly incomes of the marketing managers in the East and West. Use α = 0.05. b.At 95% confidence, use the p-value approach and test to determine if the average yearly income of marketing managers in the East is significantly different from the West. ​