Suppose #₁ and ₂ are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. The data follows: m = 6, x= 113.1, s₁=5.01, n = 6, y = 129.3, and s₂ = 5.38. Calculate a 95% CI for t difference between true average stopping distances for cars equipped with system 1 and cars equipped with system 2. (Round your answers to two decimal places.) USE SALT Does the interval suggest that precise information about the value of this difference is available? O Because the interval is so narrow, it appears that precise information is not available. O Because the interval is so wide, it appears that precise information available. O Because the interval is so wide, it appears that precise information is not available. O Because the interval is so narrow, it appears that precise information is available.

Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4

Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to 2012. a. Let x represent time in years starting with x=0 for the year 1997. Let y represent the number of seals in thousands. Use logistic regression to fit a model to these data. b. Use the model to predict the seal population for the year 2020. c. To the nearest whole number, what is the limiting value of this model?

Find the average rates of change of f(x)=x2+2x (a) from x1=3 to x2=2 and (b) from x1=2 to x2=0.

A photoconductor film is manufactured at a nominal thickness of 25 mils. The product engineer wishes to increase the mean speed of the film, and believes that this can be achieved by reducing the thickness of the film to 20 mils. Eight samples of each film thickness are manufactured in a pilot production process, and the film speed (in microjoules per square inch) is measured. For the 25-mil film, the sample data result is = 1.15 and 81 = 0.11, while for the 20-mil film, the data yield 2 = 1.06 and 82 = 0.09. Note that an increase in film speed vould lower the value of the observation in microjoules per square inch. (a) Do the data support the claim that reducing the film thickness increases the mean speed of the film? Use a = 0.10 and assume that the two population variances are equal and the underlying population of film speed is normally distributed. What is the P-value for this test? Round your answer to three decimal places (e.g. 98.765). The data the claim that reducing the film…

Three male patients, pink, green and blue, came into a medical clinic with symptoms of lethargy (feeling tired) and chest congestion. A blood sample was taken for each patient to measure the hematocrit levels and to determine the hemoglobin saturation curves for each patient. The results are shown below with the saturation curve on the left and the hematocrit on the right. What should the oximeter readings be for Patients Pink, Green and Blue if arterial PO₂ was 80 mm Hg [Select) ? Which patient(s) has a significant reduction in total oxygen carrying capacity [Select] #? NO, Saturation of hemoglobin 100 80 60 40 20 Pink, 40 40 PO, (mm) 30 Bue 100 Pink Green Blue

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. Vehicle   1       2      3       4       5      6      7      8      9     10 Wet      107  101  109  112  105  106  111  108   98  116 Dry        72    69    74     73    72    72     74    74    67   79 Estimation for Paired Difference Mean StDev SE Mean 95% CI forμ_difference 34.700 2.452 0.775 (32.946, 36.454) a. Interpret the 95% CI.b. What assumption is needed for this CI to be valid?

Suppose an oceanographer monitors the daily salinity of a particular ocean in relation to the temperature of the water. The oceanographer plots the data with temperature, in degrees Celsius (°C), along the horizontal axis and salinity, in parts per thousand (ppt), along the vertical axis.   Select the true statement about the data point identified by the arrow. An ocean temperature of 21 °C causes the salinity to be 29 ppt. The predicted salinity is 29 ppt when the ocean temperature for the day is 21 °C. An ocean temperature of 29 °C corresponds to a salinity level of 21 ppt. The observed salinity is 29 ppt when the ocean temperature for the day is 21 °C. There is no relationship between the temperature of the ocean on a given day and salinity.

In the area of Russia récords were kept on the relationship between the rain Fall in inches and the yield of wheat (bushels per acre ).the data for a 9 year period is as follow. Rain fall x 13.1,11.4,16.0,15.1,21.4,12.9,9.6,18.2,18.6. yield y : 48.5,44.2,56.8,80.4,47.2,29.9,74.0,74.0,76.8 the equation of the line of least squares is given  as ^y= -9.12+4.38x. How many bushels of wheat peen acre can be predicted if it’s is expected that there will be 30 inches of rain?

The line of best fit through a set of data is ŷ = - 6.227 – 1.507x According to this equation, what is the predicted value of the dependent variable when the independent variable has value 10? Round to 1 decimal place.