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Can a pretest on mathematics skills predict success in a statistics course? The 82 students in an introductory statistics class took a pretest at the beginning of the semester. The least-square regression line for predicting the score y on the final exam from the pretest score x was y^ = 15.3 + .72x (note: y caret). The standard error of B1 was 0.38.
We wish to test the null hypothesis that there is no linear relationship between the pretest score and the score on the final exam against the two-sided alternative.
a. State the statistical hypotheses.b. Assuming all assumptions are valid, compute the test statistic.c. What are the degrees of freedom for this test?d. What is the p-value?e. Do you reject or fail to reject the null hypothesis?f. Write a proper conclusion.
For the following scores, find the (A) mean, (B) median, (C) sum of squared deviation (d) variance, and (e) standard deviation:
A truck without thelp from the truck driver (2hours per truck with the truck drivers help) Assuming M/M1:FCFS/8/8 model: What is the probability of 0,1 or 2 trucks in need of repair at any one time?
Find a 95% confidence interval for the percentage of girls and women in Taiwan who had antibodies at that time.
if you wish to estimate a population mean and have estimate be between - of the true value and you wish to have a
question a normally distributed population has a mean of 40 and a standard deviation of 12. what does the central
What do you notice about the two histogrum and (therefore) about the estimates of probability of getting above 0?
What is the probability that there are at least 40 "Bright" people among 1000 randomly chosen people? I) What is the probability that there are no more than 5% of "Bright" people among 1500 randomly chosen people?
Suppose the length of a typical televised football game, including all commercial timeouts, is normally distributed with a mean of 2.45 hours and standard deviation 0.37 hour.
A random sample of 15 paired observations has a correlation of -.46. Can we conclude that the correlation in the population is less than zero? Use the .05 significance level.
In a recent study of 86 working adults, the mean number of hours per week spent talking on the phone was 21.6. The sd= 5.7 hours.
Set-up/solve the problem graphically. (How many ceiling fans and how many floor fans should be made?)
The number of weeds that remain living after a specific chemical has been applied averages 1.3 per square yard and follows a Poisson distribution. Based on this, what is the probability that a 3 square yard section will contain less than 4 weeds?
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