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Suppose X of the company's absent employees has a Poisson probability ditribution with an average number of 3.4, find
1. Mean2. Standard Deviatin3. Probability of at least 3 absentees.
Statistics practice questions answers in a correct order and if possible copy all the graphs in excel. How large a sample size (trading days) is needed to estimate the population mean number of shares traded per day to within 100 million with 95% co..
State the null and alternative hypotheses. Using the test statistic, degrees of freedom and p-value, what can you conclude about the null hypothesis? What is the 95% confidence interval of the difference? Interpret the 95% confidence interval using t..
12 mature citrus trees of one variety and 15 of another gave means and standard deviations of their heights as 13.8 and 12.9 ft (means), and 1.2 and 1.5 ft (standard deviations).
An educational study uses a simple pre-post design to assess the efficacy of a computer tutor for solving inequalities. Twelve pilot students participate. Each student is given a pre-test, then participates in six sessions using the tutor, then i..
What is the mean value of a geometric random variable? What is the mean value of N, the number of tosses of a fair coin until the fourth head occurs?
The hypothesis test produces a z-score of z = 2.37. Assuming that the researcher is using a two-tailed test, what decision should be made?
The linear correlation coefficient, r, measures the strength of the linear relationship the variables in a set of ordered pairs (x,y). What is the maximum and minimum values for r?
Given the following sample information, test the hypothesis that the treatment means are equal at the .05 significance level. Complete an ANOVA table. State your decision regarding the null hypothesis.
A standard deviation of five minuts. Assuming the call times are normally distributed, what percentage of calls are longer than 35 minutes.
Critically illustrate out the properties of a normal distribution. Explain why there are an infinite number of normal distributions.
Use simple exponential smoothing with α = 0.33 to forecast battery sales for February through May. Assume that the forecast for January was for 22 set of tires.
How much evidence is there that the mean composite satisfaction rating exceeds 42?
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