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1. Provide an example of an application of the normal distribution.
2. Explain why standard normal distribution can be used to find the probabilities for all normal distributions?
3. I need an example of binomial experiment.
Below are the sample times in minutes. At the .05 significance level, can we conclude that there is a difference in their mean times?
For the binomial sample information summarized below, indicate whether the sample size is large enough to use the large sample approximation to construct a confidence interval for p.
In a poll of 1,004 adults, 93% indicated that restaurants and bars should refuse service to patrons who have had too much to drink. Construct the 90% confidence interval for the proportion of all adults who feel the identical way.
In a survey of the 3000 boy scouts in the National Capital Area Council (NCAC), it is found that they have a mean weight of 135 lbs with a standard deviation of 15 lbs. How many of the boy scouts have weights between 120 lbs and 150 lbs.?
The average monthly gasoline purchase for a family with 2 cars is 90 gallons. This statistic has a normal distribution with a standard deviation of 10 gallons. A family is chosen at random.
Compute the 95% confidence interval for the proportion of adults who are planning to buy a new car in the next 6 months.
Determine 95% confidence interval evaluate for average number of years served by all Supreme Court justices?
Kind of examination produced significant main effects on both mean mark and time taken to complete the examination.
Her mean waiting time was 7.4 minutes. Assume that the standard deviation has been historically known to be 2.2 minutes. At the .05 significance level, test the claim that the mean waiting time is less than 10 minutes.
What is the null and alternative hypothesis? What is your final conclusion?
For the following data, determine whether or not right-hemisphere damage results in significantly reduced performance on the spatial skills task. Test with alpha set at .05 with one tail. The data are as follows:
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