To control for order effects in a repeated measures design, you should use: independent groups. a Latin square. counterbalancing techniques. a reversal design.

Find the median. \( \begin{array}{l}0.88,1.18,0.64,1.62,0.75,0.85 \\ 1.18,1.53,0.91,0.88,1.39,1.07 \\ 0.47,1.39,0.85,1.07,1.72,0.75 \\ 1.12,0.89,0.56\end{array} \)

Find the percentile of the data value. Data set: \( 3,13,10,6,3,3,13,6,3,13,2,13,15,4,9,3,12,10,6,13 \); data value: 6

The regression equation is \( \bar{y}=4.2 \) decimal places if necessary.) For \( x=5.8, \hat{y}=74.66 \) (Round to two decimal places if necessary.) For \( x=11.5, \hat{y}=98.6 \) The prenatal care percent for 11.5 interpolation, while the one for 5.8

A person's blood glucose level and diabetes are dosely related. Let \( x \) be a random variable measured in milligrams of glucose per deciliter ( \( 1 / 10 \) of a liter) of blood. Suppose that after a 12 -hoi fast, the random variable \( x \) will have a distribution that is approximately normal with mean \( \mu=87 \) and standard deviation \( \sigma=23 \). Note: After 50 years of age, both the mean and standard deviation tend to increase. For an adult (under 50 ) after a 12-hour fast, find the following probabilities. (Round your answers to four decimal places.) (a) \( x \) is more than 60 (b) \( x \) is less than 110 (c) \( x \) is between 60 and 110 (d) \( x \) is greater than 125 (borderline diabetes starts at 125 )

The test scores of 40 students are listed below. Find \( \mathrm{P}_{85} \). \( \begin{array}{l}30,35,43,44,47,48,54,55,56,57,59,62,63,65,66,68,69,69,71,72,72,73, \\ 74,76,77,77,78,79,80,81,81,82,83,85,89,92,93,94,97,98\end{array} \)