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The weights of the 100 boys in the Boy Scout Troop 829 are normally distributed with a mean of 170 pounds and a standard deviation of 5 pounds.
a. What is the probability that a boy picked at random weighs less than 165 pounds?
b. How many boys would you expect to weigh between 161 and 173 pounds?
c. Find the 96th percentile.
d. Find the cutoff values which represents the middle 80% of their weight.
Using the first two digits of the measurement as your stem, construct a stem and leaf display of the data above.
h-p is said to be the leading seller of pc's in the U.S WITH 27% share of the pc market. if a researcher selects 130 recent pc purchases
Sixty-four students in an introductory college economics class were asked how many credits they had earned in college, and how certain they were about their choice of major.
Perform an exponential smoothing forecast with α=0.3 with the following data. Use the demand for the month of January for the initial forecast.
In a one-way ANOVA analysis of 3 treatments, with the total number of 9 observations, with an equal number of observations in each treatment, mean-square-error (MSE) was found to be 24.905.
Determine x-bar and s for this data set. You may suppose the values for bulb life are normally distributed. Use traditional method to make your decision.
Assume that a sample is drawn and z(α/2) = 1.65 and σ = 35. Answer the following questions. (A) If the Maximum Error of Estimate is 0.04 for this sample, what would be the sample size?
Under what circumatances do you use a one-sided confidence interval instead of a 2 sided confidence interval?
For the sheet-metal stamping machine in certain factory, the time between failures, X1 has a mean between the failures, of 56 hours and a variance of 16 hours.
The standard deviation in cash bonuses is $15,618 and the standard deviation in annual pay is $28,077. The estimated slope of best fitting line relating x and y is?
In the real world, a given null hypothesis is false; but the collected data lead to the null hypothesis being accepted. That is, the data lead to a failure to reject the null hypothesis.
Examine the residual files and produce appropriate residual plots to examine the assumptions. Are the Level-1 residuals normally distributed? Are the level-2 residuals multivariate normal? How do you know?
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