the sample distribution of the sample mean will be same as the population mean, i.e. the mean of the sample distribution will remain same as population mean or 4.5
so, the mean of the sample distribution of the sample mean will be 4.5 cars
only the standard deviation changes for sample distribution, but the mean remains same for sample distribution
so, answer is sample mean = 4.5 cars
The number of cars running a red light during the day at a given intersection possesses...
Question 6 3 pts The number of violent crimes committed in a day possesses a distribution with a mean of 3.5 crimes per day and a standard deviation of 4 crimes per day. A random sample of 100 days was observed, and the mean number of crimes for the sample was calculated. Describe the sampling distribution of the sample mean. shape unknown with mean = 3.5 and standard deviation = 0.4 shape unknown with mean = 3.5 and standard deviation-4...
An automatic camera records the number of cars running a red light at a traffic light. Data shows, on average 20% of light changes record a car running a red light. Assume that the data has a binomial distribution. Create a probability distribution for a car running a red light in 3 light changes.
0.1915 QUESTION 19 Provide an appropriate response. The number of violent crimes committed in a day possesses a distribution with a mean of 2.1 crimes per day and a standard deviation of four crimes per day. A random sample of 80 days was observed, and the sample mean number of crimes for the sample was calculated. The data that was collected in this experiment could be measured with a random variable. continuous discrete
To combat red light running crashes many states have installed red light cameras at dangerous intersections to photograph the license plates of vehicles that run the red light. How effective are photo-red enforcement programs in reducing red-light-running crash incidents at intersections? A state's department of transportation conducted a comprehensive study of its photo-red enforcement program. In one portion of the study, the department provided crash data both before and after installation of red light cameras at several intersections. The data...
Poisson The number of cars arriving at a given intersection follows a distribution with a mean rate of 1 per second. What is the probability that no cars arrive within a 3-second interval? (A) 1/e3 (B) 2/e3 (C)3/e3 (D) 4/e3 (E) None of these
7. (6 points) The number of vehicles passing through a busy intersection between 8:00 a.m. and 10:00 a.m. was observed and recorded on every weekday morning of the last year. The sample mean is found to be * = 675 and the sample standard deviation is 8 = 25. (a) Approximately what proportion of observations are between 625 and 725 cars? (b) Approximately what proportion of observations are greater than 750 cars?
3. LUXURY CARS collects sample data regarding the number of cars rented per day: 10, 6, 20 a) Calculate the mean, median and mode b) Calculate the range, standard deviation and coefficient of variation
l Verizon 9:21 PM 5296 A traffic engineer believes that the number of cars passing through a certain intersection between 2 and 6 pm on weekdays follows a normal distribution with mean 750 and standard deviation 100 A new highway is opened, and it is hypothesized that the number or cars passing through the intersection should decrease as a result. A sample of 15 weekdays is taken, and the mean number of cars passing through the intersection is 710. Decide...
Question 22 4 pts The number of patients admitted per day to a large hospital's ICU follows a skewed right distribution with a mean of 20 and a standard deviation of 8. Suppose a sample of 100 days was collected over the past year and the average number of patients admitted per day was calculated. Does the Central Limit Theorem apply to this problem? No Yes, since np and nq are both at least 15 Yes, since n is at...
10, 3. LUXURY CARS collects sample data regarding the number of cars rented per day: 6, 20 a) Calculate the mean, median and mode b) Calculate the range, standard deviation and coefficient of variation c) Calculate Pearson's coefficient of skewness d) Calculate Q.