Let X = height of the students in inches Let Y = Foot length of the students in centimeters Complete manual solutions for ANOVA with 8-step procedure using the critical value approach and stating the p-value with interpretation at the 0.01 level of significance. For hypothesis testing of the significance of the linear relationship, show the 8-step procedure t-test (ρ = 0) using the critical value approach and stating the p-value with interpretation at the 0.01 level of significance.

PEF is a measure of patient's abiltity to expel air from lungs. PEF for children free of asthma is 306. investigator wants to know whether children with chronic bronchitis have restricted PEF. sample of 40 children with chronic bronchitis are studied, their mean PEF is 279, standard deviation 71. Is there stastical evidence of lower mean PEF in children with chronic bronchities? Run appropriate test at alpha = 0.05

The admissions office at Memorial Hospital recently stated that the mean age of its patients was μ= 43 years with σ = 21.2 years. A random sample of 29 ages obtained from the admissions office records had a mean of 49.9 years. A hospital administrator doesn’t believe that a mean of 43 years is correct. Calculate the critical value AND answer does the evidence support the hospital’s claim (H_o) or the administrator’s claim (H_a) at the α = 0.05 level?

Recently, a simple random sample of 572 adult males showed that 124 of them smoke. It has been established that in 2008. 20.4% of adults smoke. Use a 0.05 significance level to test the claim that the rate of smoking by adult males is now the same as in 2008. What is the value of the critical z tabular value?

The NTSB wants to estimate the difference between the average stopping distance for a car traveling 40 MPH on wet versus dry pavement.  Ten vehicles were used for the study where each vehicle was driven at 40 MPH and came to a sudden stop on both wet pavement and dry pavement.  The stopping distance was measured (feet) for each pavement condition and the data is shown below followed by Minitab output with the CI. Estimation for Paired Difference Mean StDev SE Mean 95% CI forμ_difference 34.700 2.452 0.775 (32.946, 36.454) b. What assumption is needed for this CI to be valid?

An excess of high values for the cases distributed on a graph results in a positive skew in the data?

Listed below are the overhead widths​ (cm) of seals measured from photographs and weights​ (kg) of the seals. Find the regression​ equation, letting the overhead width be the predictor​ (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is1.8​cm, using the regression equation. Can the prediction be​ correct? If​ not, what is​ wrong? Use a significance level of 0.05. Overhead_Width_(cm)    Weight_(kg)7.2    1287.4    1679.8    2619.5    2218.7    2118.3    201 The regression equation is y=enter your response here+enter your response herex. ​(Round the​ y-intercept to the nearest integer as needed. Round the slope to one decimal place as​ needed.) Part 2 The best predicted weight for an overhead width of 1.8 ​cm, based on the regression​ equation, is enter your response here kg. ​(Round to one decimal place as​ needed.) Part 3 Can the prediction be​ correct? If​ not, what is​ wrong?     A. The prediction cannot be correct…