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A company manufactures 7 foot 6 inch aluminum fence, how much the average post that they manufacture weighs (in pounds), so they decide to weigh 25 such posts and record the results. company wants to be 98% confident in the average weight of all their manufactured posts to within 0.5 lbs., what is the maximum standard deviation they can record from their sample before they will have to increase their sample size for greater accuracy?
In each of the following problems, a conclusion to a hypothesis test is presented. Determine whether each statement is permissible.- The value of the test statistic does not lie in the rejection region. Therefore, we accept the null hypothesis.
a debt collection company has been monitoring the amount of time its bill collectors spend on calls that produce
Calculate the z-score for the smallest and largest observations. Is either of these observations unusually large or unusually small?
New Mexico National Bank (NMNB) operates branches in 23 cities and towns throughout the state of New Mexico. The bank offers a complete range of financial.
Perform a visual inspection of the standardised residuals, linking each observation with the relevant assumption. Can the regression model be relied upon
Many of the supplements were associated with a higher risk of death, iron being the most notable: The higher the dose of iron taken, the higher the death risk.
suppose that the lengths are normally distributed. a quality specialist collects a random sample of 16 rods and finds
seventy-eight percent of the light aircraft that disappear while in flight in a certain country are subsequently
To determine whether a metal lathe that produces machine bearing is properly adjusted, a random sample of 36 bearings is collected and the diameter of each is measured.
Determination of Nominal, Ordinal, Interval, Ratio.Temperature is an example of what level of measurement.
suppose we have a set of blood pressures with a mean of 70 diastolic and a sample standard deviation of 10 points. if
Find the mean, variance, and standard deviation of the number of school children (out of the 40 selected) who buy and eat a snack at school
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