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In a local university,40% of the students live in the dormitories. A random sample of 80 students is selected for a particular study. What is the probability that the sample proportion (the proportion living in the dormitories) is between 0.30 and 0.50?
Is this an ideal data collection method? Can the results be considered reliable? Can the gathered data be representative of the population?
Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the price of the car.
Easy-Fly Airline took a random sample of 25 flights to determine if the mean time it takes for luggage to reach the travelers departing from a flight is less than 15 minutes. The sample mean was found to be 13.8 minutes with a standard deviation o..
The ANOVA summary table below is the result of a regression of sales on year of sales. Is the relationship statistically significant at .05? Comment.
Discuss how scale impacts the interpretation of a graph and name the lowest number of a statistically significant sample size and state the statistically appropriate percentage total of displays
Test hypothesis that average price of gasoline in western states is higher than national average for Continental USA and the District of Columbia, i.e., higher than $3.74.
Use the sales data given below determine: a) The least square trend line.
When the level of confidence and sample size remain the same, a confidence interval for a population proportion π will be __________ when p(1-p) is larger than when p(1-p) is smaller.
These can have a large impact on tenure and promotion decisions at many institutions. One particular instructor had ratings in 3 courses in one semester as given by the table below for the statement "The instructor is an excellent teacher.
Suppose the waiting time at a restaurant is normally distributed with a mean of 12 minutes and a standard deviation of 6 minutes.
Suppose that, for a t test, your computed value for t is +3.28. The critical value of t is +2.048. Explain what this means. Do you reject the null hypothesis or not?
Are all the events in this distribution mutually exclusive? Describe in detail.
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