Determine whether the results below appear to have statistical significance, and also determine whether the results have practical significance. In a study of a weight loss program, 6 subjects lost an average of 50 lbs. It is found that there is about a 39% chance of getting such results with a diet that has no effect . Does the weight loss program have statistical significance? A- No, the program is not statistically significant because the results are unlikely to occur by chance B- Yes, the program is statistically significant because the results are unlikely to occur by chance . C- No, the program is not statistically significant because the results are likely to occur by chance. D- Yes, the program is statistically significant because the results are likely to occur by chance .

A fitness course claims that it can improve an individual's physical ability. To test the effect of a physical fitness course on one's physical ability, the number of sit-ups that a person could do in one minute, both before and after the course, was recorded. Ten individuals are randomly selected to participate in the course. The results are displayed in the following table. Can it be concluded, from the data, that participation in the physical fitness course resulted in significant improvement? Let d=(number of sit-ups that can be done after taking the course)−(number of sit-ups that can be done prior to taking the course)d=(number of sit-ups that can be done after taking the course)−(number of sit-ups that can be done prior to taking the course). Use a significance level of α=0.05 for the test. Assume that the numbers of sit-ups are normally distributed for the population both before and after taking the fitness course. Sit-ups before 42 42 23 32 30 42 25 47 35 38 Sit-ups after…

Determine whether the results appear to have statistical significance, and also determine whether the results appear to have practical significance. In a study of a birth sex selection method used to increase the likelihood of a baby being born female, 1916 users of the method gave birth to 941 males and 975 females. There is about a 23% chance of getting that many babies born female if the method had no effect. Because there is a 23% chance of getting that many babies born female if the method had no effect, the method couples would likely use a procedure that raises the likelihood of a baby born female from the approximately 50% rate expected by chance to the % produced by this method. (Round to the nearest integer as needed.) So, this method has statistical significance. does not have practical significance. should be used to make conclusions. has practical significance.

A manufacturer of laptop computers claims that only 1% of their computers are defective. In a sample of 600 computers, it was found that 3% were defective. If the proportion of defectives were really only 1%, there would be than 1 chance in 1000 of getting such a large proportion of defective laptops in the sample. Is there statistically significant  evidence against the manufacturer's claim? Why or Why not?