1. (Based on the data from textbook problem 1, page 54) The data in Table 3.3 are a subset of the data obtained by Kaneto, Kosaka, and Nakao (1967). The experiment investigated the effect of vagal nerve stimulation on insulin secretion. The subjects were mongrel dogs with varying body weights. Table 3.3 gives the amount of immunoreactive insulin in pancreatic venous plasma just before stimulation of the left vagus nerve (X) and the amount measured 5 min after stimulation (Y) for seven dogs. Test the hypothesis of no effect against the alternative that stimulation of the vagus nerve increases the blood level of immunoreactive insulin. Table 3.3 Blood Levels of Immunoreac- tive Insulin (U/ml) Dog i 1 2 3 4 5 6 7 X₁ 350 200 240 290 90 370 240 Y₁ 480 130 250 310 280 1450 280 Source: A. Kaneto, K. Kosaka, and K. Nakao (1967).

14) - Part A javascript:WebForm_DoCallback('__Page',H_6. Chapter 7 Q Search t A regression model relating x, number of salespersons at a branch office, to`y, annual sales at the office (in thousands of dollars) provided the following regression output. Where Ttotal = 26, ANOVA df SS MS F Significance F Regression 7,191.1 Residual Total 9,555.8 Coefficients Standard Error t Stat P-value Intercept 71.0 11.707 Number of 57.0 5.893 Salespersons a. Write the estimated regression equation (to whole number). b. Compute the F statistic and test the significance of the relationship at a 0.05 level of significance. (to 2 decimals) F-value Но , we - Select your answer - p-value is - Select your answer - c. Compute the t statistic and test the significance of the relationship at a 0.05 level of significance. (to 2 decimals) t Stat V, we , we- Select your answer - v Ho: B, = p-value is Select your answer- d. Predict the annual sales at the Memphis branch office. This branch employs 11 salespersons.…

Conduct a paired t-test on ‘Run_Pulse’ and ‘Rest_Pulse’ for male participants only. Use the alpha level .10 (which needs you to change the default of the function 't.test()'). Report your results following the APA writing template below: The data were collected from a sample of FILL IN BLANK (sample size) male participants' pulse rates, for both the running and resting conditions. The pulse rates when running have a mean of  (FILL IN BLANK)seconds (SD= FILL IN  ), and the pulse rates when resting has a mean of (FILL IN BLANK) seconds (SD = FILL IN ). Thus, on average, the pulse rates  (decreased, increased?) from the resting condition to the running condition. The paired t-test was conducted to determine if this difference in the means was statistically significantly different from 0. The results indicate that this difference  (is, is not?) statistically different (t = , df = , p  (=? <? Choose one and then input the value), confidence interval = FILL IN(, )). Thus, we  (reject,…

Consider two independent random samples x_(1),x_(2),dots,x_(n) and Y_(1),Y_(2),dots,Y_(n) taken from \Gamma (k,\lambda _(1)) and \Gamma (k,\lambda _(2)), re- spectively, where \lambda _(1) and \lambda _(2) are the scale parameters for the dis- tributions. Assume that k is known. Show that the lower and upper limits of the confidence interval of (\lambda _(1))\ (\lambda _(2)) interval can be expressed as functions of the quantiles of the F distribution.

Researches are interested in whether or not the average fuel economy for compact cars is thesame as sedan cars. A sample of 36 compact cars and 25 sedan cars is taken.The sample of compacts returns a mean of ̄X = 38 miles per gallon and sample variance of s^2 = 25.The sample of sedans returns a sample mean ̄Y = 36 with a sample variance of s^2 = 49.Let μ 1 be the population mean of compacts and μ 2 for sedans. a. Create a 95% confidence interval for μ 1 .b. Now create a 95% confidence interval for μ 1 μ 2 .c. Say the interval from part b. contains 0. What can you say about the difference in the averagefuel economy of compact cars versus economy cars

Show all work/steps! You must use JMP to analyze data.

Suppose IQ scores were obtained for 20 randomly selected sets of siblings. The 20 pairs of measurements yield (bar x) x=99.3​, (bar y) y=99.5​, r=0.943​, ​P-value=​0.000, and (^ over y) y=−5.29+1.06x​, where x represents the IQ score of the younger child. Find the best-predicted value of (^ over y) y given that the younger child has an IQ of108​?Use a significance level of 0.05.   The critical values of the Pearson correlation coefficient r. Critical Values of the Pearson Correlation Coefficient r n α=0.05 α=0.01 ​NOTE: To test H0​: ρ=0 against H1​: ρ≠​0, reject H0 if the absolute value of r is greater than the critical value in the table. 4 0.950 0.990 5 0.878 0.959 6 0.811 0.917 7 0.754 0.875 8 0.707 0.834 9 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576 0.708 13 0.553 0.684 14 0.532 0.661 15 0.514 0.641 16 0.497 0.623 17 0.482 0.606 18 0.468 0.590…

Explain The J-statistic under homoskedasticity?

Assume that variables xx and yy have a significant correlation, and that the line of best fit has been calculated as ˆy=1.4x+3.6y^=1.4x+3.6. One observation is (9,16.3)(9,16.3).What is the predicted value of yy for the value x=9x=9? What is the residual for the value x=9x=9? What is the best interpretation for the residual? The value 16.316.3 is below the average value for yy when x=9x=9 The value 99 is above the average value for yy when y=16.3y=16.3 The value 16.316.3 is above the average value for yy when x=9x=9. The value 16.316.3 is below the average value for xx when y=16.3

A sample is selected from a population with population mean = 50 After a treatment is administered to the individuals in the sample, the mean is found to be M = 55 and the variance is s ^ 2 = 64 a. If the sample has n = 36 scores, then conduct the four steps of hypothesis testing to evaluate the significance of the treatment effect and calculate Cohen's d to measure the size of the treatment effectUse a two-tailed test with alpha fevel = .05