If a data set has an even number of observations, the median a. can not be determined b. is the average value of the two middle items c. must be equal to the mean d. is the average value of the two middle items when all items are arranged in
The central tendency of a set of measurements, i.e., the tendency of the data to cluster or to center about certain numerical values.
When studying the simultaneous responses to two categorical questions, we should set up a a. contingency table. b. frequency distribution table. c. cumulative percentage distribution table. d.
To approximate the number of classes when developing a frequency table for measurement data, simply divide the size of the population by the sample size or use ten classes, whichever is the smaller.
To find the median, you must place all the data in numerical order. The median is the value of the middle item. In this case, there is an even number of measurements, 50.
Statistics Questions: calculate probability; relative frequency table; range, median, mean, and mode
321670 Statistics Questions: calculate probability; relative frequency table; range, median, mean, and mode Statistics Questions: calculate probability; relative frequency table; range, median, mean, and mode See attached file. 1.
Here the homes states are purely a nominal variable are no numerical values are associated with it. Average like mean / median is suitable when the values are ordinal or numeric in nature.
The number of books read by the 23 participants is as follows: 10 9 6 2 5 3 9 1 6 3 10 4 7 6 3 5 6 2 6 5 3 7 2 Number of books read Frequency 1-2 3-4 5-6 7-8 9-10 Answers a. Complete the frequency table.
Construct a probability distribution table for the number of orders received per day. b. Graph the probability distribution using a relative frequency histogram. c.
Quantitative methods: 50 Multiple Choice Questions : Random Numbers, Monte Carlo Process, Mutually Exclusive Events, Probability Distribution, Joint Probability, Perfect Information, Continuous Random variable, States of Nature, Decision Science, Opportunity Loss, complement, outcome of an experiment, repeated independent trials, options, decision tree, time series, seasonal components, smoothing methods, forecast errors, simulation, relative frequency
A random variable that may assume only a finite number or an infinite sequence of values is said to be discrete; one that may assume any value in some interval on the real number line is said to be continuous. 22.