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A study of the effect of television commercials on 12-year-old children measured their attention span, in seconds. The commercials were for clothes, food, and toys.
Clothes Food Toys
27 44 6122 49 6446 37 5735 56 4828 47 6331 42 5317 34 4831 43 5820 57 47 47 51 44 51 54
Complete the ANOVA table. Use 0.05 significance level. (Round the SS and MS values to 1 decimal place and F value to 2 decimal places. Leave no cells blank-be certain to enter "0" wherever required. Round the df values to the nearest whole numbers.)
Find the values of mean and standard deviation. (Round the mean and standard deviation values to 3 decimal places.)
Is there a difference in the mean attention span of the children for the various commercials?
Are there significant differences between pairs of means?
Define the null and alternate hypotheses for the statistical test to find out if there is evidence that average weight of Smoky Bear moving van is more than 12,000 lb.
A thorough examination reveals that there is nothing wrong with the filling machine. From a statistical standpoint, was there a type error made? If yes, which type? Explain.
Retired professional tennis players Martina Navratilova, Monica Seles, John McEnroe, and Jimmy Connors are all left-handed.
1) The diameters of bolts produced by a certain machine are normally distributed with a mean of 0.30 inches and a standard deviation of 0.01 inches.
What is the baseline risk of invasive breast cancer, assuming that the placebo group is representative of the relevant population of women?
The production manager for Beer etc. produces 2 kinds of beer: light and dark.
If the respondents answer truthfully, what is P(0.52 ≤P^≤ 0.60)? This is the probability that the statistic P^ estimates the parameter 0.56 within plus or minus 0.04.
explain why the standard error of the mean decreases with increasing sample size. provide a mathematical explanation in
Use a one-sided, left-tailed hypothesis test to show that there is evidence to suggest the mean width of littlenecks has decreased.
To obtain the probability that the mean wage of 75 randomly selected workers will exceed $43,000
Shown below is computer ouput for a regression analysis relating Y (demand in units) and X (unit price).
Find P(3) when p=0.40 Assume the geometric distribution applies. Use the given probability of success p to find the indicated probability.
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