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In a survey of students at a local college it was decided to give part-time students twice the chance of selection because of the smaller numbers involved and the diversity of their study patterns. How would you double the chance of selection of part-time students and how would you allow for this in any subsequent analysis?
a box contains 10 blue and 5 red markers. find the probability of obtaining at least two red markers if four markers
What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line?
The population of SAT scores forms a normal distribution with a mean of µ=500 and a standard deviation of o =100. If the average SAT score is calculated for a sample of n=25 students,
A transportation company wants to estimate the average length of time goods are in transit across the country. A random sample of 20 shipments gives x = 2.6 days and s = 0.4 day. Give a 99% con?dence interval for the average transit time.
according to runzheimer international a typical business traveler spends an average of 281 per day in chicago. this
If there is a negative dependent variable of -0.55, and independent variables Y1 of +0.75 and Y2 of -3.0, how do I interpret the relationships according to the signs?
a rapid test for the presence in the blood of antibodies to hiv the virus that causes aids gives a positive result with
Compute the marginal frequencies. (List the totals for the age groups and localities). What percent of the urban dwellers are over 50? What percent of the Over-50 residents live in rural areas?
Refer to Exercise 7.118 and the OC data for 31 females. Variables that measure concentrations such as this often have distributions that are skewed to the right. For this reason it is common to work with the logarithms of the measured values. Here..
How much would you expect the price of an antique grandfather clock to increase if its age increased by 1 year?
Assess the model fit for the multiple linear regression model using appropriate statistics and graphics.
Employees of a local university have been classified according to gender and job type.
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