Assume that the readings on the thermometers are normally distributed with the mean of 0° and standard deviation of 1.00°C. Assume 2.5% of the thermometers are rejected because they have readings that are too high and another 2.5% are rejected because they have readings that are too low. Draw a sketch and find the two readings that are cutoff values separating the rejected thermometers from the others. Which graphs represent the region in which thermometers are rejected? The cutoff values are ______ degrees. (Use a comma to separate answers as needed. Round to two decimal places as needed)

Suppose a researcher collects data on the bacterial contamination, measured in colony-forming unit per milliliter, for both upstream and downstream sections of 35 rivers. The data is plotted with upstream bacterial contamination on the horizontal axis and downstream bacterial contamination on the vertical axis. The Scioto River is an outlier in the ?y‑direction. What must be true about this river? The upstream bacterial contamination for this river is much higher or lower than the rest of the rivers in the data set. The downstream bacterial contamination for this river is much higher or lower than other rivers in the data set that have similar upstream bacterial contamination. This river is an influential observation. The downstream bacterial contamination for this river is much higher or much lower than the rest of the rivers in the data set. The absolute value of the residual of this river is large.

Assume the readings on thermometers are normally distributed with a mean of0degreesC and a standard deviation of 1.00degreesC .Find the probability that a randomly selected thermometer reads between negative 2.28 and negative 1.25 and draw a sketch of the region.

A sample of human brain volumes ​(cm3​) is given below. Use the given data values to identify the corresponding z scores that are used for a normal quantile​ plot,then identify the coordinates of each point in the normal quantile plot.  a. List the z scores for the normal quantile plot. ​(Round to two decimal places as needed. Use ascending​ order.) b. Identify the coordinates of each point in the normal quantile plot. Use ordered pairs for the form​ (x,y), where x is the sorted human brain volumes in ascending​ order, and y is the corresponding z score. ​(Round to two decimal places as needed. Use ascending​ order.)

I need the shade of the part of the curve corresponding to the calculation on both. On #1 and #2 since it was given thru this app when I submitted it. Thank you

Assume that the readings on the thermometers are normally distributed with a mean of 0° and standard deviation of 1.00°C. Assume 2.1​% of the thermometers are rejected because they have readings that are too high and another 2.1​% are rejected because they have readings that are too low. Draw a sketch and find the two readings that are cutoff values separating the rejected thermometers from the others.

1. The following data was used to determine the concentration of arsenic in a river using atomic absorption spectrometry. Three replicate measurements were recorded for each sample and the absorbance values below are the averages. Conc. As (ppb) Abs. 2.5 0.0297 5.0 0.0588 7.5 0.0782 10.0 0.1039 Unknown 0.0615 a. Graph the data and determine the slope and and intercept. Use Excel-possibly the LINEST function- to determine the standard error about the regression. This is the uncertainty in the absorbance. b. C. d. e. Calculate the concentration of the arsenic in ppb. Do not worry about rounding to the correct number of significant figures until part e of this question. Determine the absolute uncertainty (i.e., standard devation) of the arsenic concentration for the unknown. Write the As concentration and its standard deviation to the correct number of significant figures.

Number 13

Assume the readings on thermometers are normally distributed with a mean of 0°C and a standard deviation of 1.00°C. Find the probability that a randomly selected thermometer reads between −0.81 and −0.01 and draw a sketch of the region

Use the Weibull distribution to model ocean wave heights. Assume that the mean wave height at the observation station is 2.5 meters and the shape parameter equals 2. Determine the standard deviation of wave height.