Which of the following provides an estimate of the effect the variables of interest have on one another regardless of sample size? a) power b) alpha c) effect size d) p value

The type of household for the U.S. population and for a random sample of 411 households from a community in Montana are shown below. Type of Household Percent of U.S.Households Observed Numberof Households inthe Community Married with children 26% 92 Married, no children 29% 121 Single parent 9% 31 One person 25% 102 Other (e.g., roommates, siblings) 11% 65 A) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to two decimal places. Round the test statistic to three decimal places.)   B)Find or estimate the P-value of the sample test statistic. (Round your answer to three decimal places.)

Consider the following population data; 0, -4, 2, -8, 10 a) Calculate the population variance. b) Calculate the population standard deviation

With a topic of z-scores, Which score indicates the highest relative position? A) A score of 2.6 on a test with mean=5.0 and s=1.6 B) A score of 650 on a test with mean=800 and s=200 C) A score of 48 on a test with mean=57 and s=6 D) A score of 16 on a test with mean=18 and s=1.5

Johnson and Leone describe an experiment to investigate the warping of copper plates. The two factors studied were temperature and the copper content of the plates. The response variable was a measure of the amount of warping. The data are as follows: Temperature (°C) 50 75 100 Copper Content (%) 40 60 80 100 17 20 12 9 16 12 21 17 21 16 24 21 18 13 18 21 ZZFEHERRE 23 22 27 17 27 31 30 23 29 31 12 25 23 23 28 22 125 Source: Applied Statistics and Probability for Engineers, 6th Edition, Douglas, C. Montgomery & George, C. Runger. 1. Draw and interpret the interaction plot. ii. Is there any significant interaction between the factors? Use a = 0.05. ii. Can your interpretation in (i) be validated in (ii)? Twelve plants are randomly

Can you explain 2.35

2. A researcher had rats engage in a lever-press task for either a small, medium, or larger reward. The number of lever presses was the dependent variable. The data were as follows: Reward Size Small Medium Large 1 4 6 4 3 5 1 4 4 2 5 T = 13 SS = 2.75 T= 6 T= 20 SS = 9 SS = 2 EX2 = 165 a. Do the data indicate that reward size had a significant impact on lever-pressing? Use the hypothesis testing steps & p = .05. Compute any necessary post-hoc tests. b. Compute eta-squared to measure the effect size.

The following table contains the number of grams of water and the number of grams of carbohydrate for a 100g sample from a random selection of raw foods. Use the data to answer the following questions. Water 83.93 80.76 87.66 85.20 72.85 84.61 83.81Carbs 15.25 16.55 11.10 13.01 24.27 14.13 15.11 a) Use your calculator to find the equation of the regression line in which the x is the number of grams of water, and y is the number of grams of carbohydrates. Use correct notation, and round the slope and y-intercept to three decimal places. b) What is the best-predicted value of the number of grams of carbohydrates in a sample that contains 75g of water? Explain how you predicted the value and why that prediction is the best-predictedvalue. Give your answer in terms of the original problem. What is the best-predicted value of the number of grams of carbohydrates in a sample that contains 50g of water? Explain how you predicted the value and why that prediction is the best-predicted value.…

Part 4. 1. Examine the data set below that represents a sample. A.) the average of the sample; B.) the median of the enéchantion; C.) the mode of the sample; D. ) the minimum and maximum values; J.) the extent; F.) the first, second and third quartiles; G.) the interquartile interval; H.) the standard deviation of the sample; I.) The variance of the sample.