Question

Please solve it with steps

1. Statistical Parameters: it all the time. The data set presented in Table 1 represents a sample of stream flows in a perennial stream for a 45-day period, These stream flows were measured using a flow meter that has a precision of t0.1 Cfs. Find the following statistical parameters for the sample data given in Table 1. A perennial stream is a stream that has water flowing in a. Central Tendency i. Mean the average value of the random variable. ii. Median the value of the random variable that is in the middle of the sample set. Mode frequently ili. the value of the random variable that occurs most b. Dispersion i. Variance squared an average measure of the deviation about the mean ii. Standard deviation an average measure of the deviation about the mean. c. Asymmetry i. Skew a measure of the symmetry or asymmetry of the sample data about the mean. Graphical Representation of Data: Given the data presented in Table 1, develop the following 2. Histogram- use an interval of 2 Cfs Box Plot- are there any outliers? a. b. Discrete vs, Continuous Random Variable: You will notice that there is most likely no mode for the sample data set presented in Table 1. The reason there are not multiple instances of exactly the same value of the random variable is due to the continuous nature of the random variable. Continuous random variables are random variables whose value can take on infinitely many values-the value of which is typically governed by the precision of the device used to measure the random variable. A discrete random variable, on the other hand, is a random variable that can only take on a finite value. The number of people in a car is an example of a discrete random variable. 3. Find the mean, median and mode of the stream flows if we use a flow meter whose precision is +5 Cfs. For example, for the stream flow for March 1, 2018 would be 855 Cfs and the stream flow for March 22, 2018 would be 1375 Cfs a.

Answer 1

Histogram

boxplot

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Form above graph we can see there is not outlier present in data