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The number of calories and number of grams of sugar per serving were measured for 36 breakfast cereals. The data are in the file Cereal, containing columns Cereal Name, Number of Calories, Amount of Sugar and Amount of Fiber, in that order. We are interested in trying to predict the number of calories using the sugar content (in grams). a) Test the hypothesis that sugar content has a linear relationship with calories. Report and interpret the p-value for the test. b) Find and interpret a 95% confidence interval for the slope of this regression model.
mr. hauseman has 17 students in his class three of which are freshman and the others are sophomores and juniors. he is
In general, determine the standard score a measure of?
30 in Canada, and 6 in the United State. At level of significance 0.05, test whether the distribution of sales has changed from last year.
a company employers 800 men under the age 55. suppose that 30 carry a marker of the male chromosome that indicates an
billys bank is the only bank in a small town in arkansas. on a typical friday an average of 10 customers per hour
If statistically significant, do you believe the difference is large enough to be significant? If so, to whom, and explain why? Is normality assumption fulfilled? Describe.
Pilot sample of 30 items indicates a sample standard deviation of 900. Determine the required sample size if the confidence level is 90%.
At the .10 significance level, can we conclude that there is a difference in the length of time the two types of treatment lasted?
Suppose a product must go through a sequential assembly line made up of ?ve operations. The time it takes to complete each operation is normally distributed with a mean of 180 seconds and standard deviation of 5 seconds.
a draw a scatter plot of arm span x versus height y and the regression line.b obtain the correlation coefficient r the
Compare value of test statistics F obtained in part(2) with value of t 2 , square of test statistic for testing H 0 : β 1 =0 that was needed in test null hypothesis that true slope is 0. Interpret the results of this test.
The null hypothesis is to be tested at 95% confidence. Determine the critical values for this test.
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