Size‚ it was determined that the mean household size of the customers is 3.42. The median of the data collected is 3‚ the mode is 2. The standard deviation is rounded to the nearest one hundredth and is 1.74. Upon reviewing the frequency distribution chart and the bar graph‚ it can be determined that although the median household size is 3‚ the largest customer household size is 2. Size | Mean | 3.42 | Median | 3 | Mode | 2 | Standard Deviation | 1.73898868 | Sample Variance | 3.02408163
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width=Largest value -mallest value / Number of classes Relative frequency of a class=Frequency of that class/Sum of all frequencies Cumulative relative frequency=Cumulative frequency of a class/Total observations in the data set Mean = Average ‚ Median ‚ Mode Range = Largest value– Smallest Value Variance and Standard Deviation Variance and Standard Deviation for Grouped Data Smallest value within the two inner fences = 69 Largest value within the two inner fences = 112 Eg‚ Refer
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FOLLOWING STATEMENTS ARE CORRECT? a. A normal distribution is any distribution that is not unusual. (Correct) b. The graph of a normal distribution is bell-shaped. (Correct) c. If a population has a normal distribution‚ the mean and the median are not equal. d. The graph of a normal distribution is symmetric. (Correct) Using the 68-95-99.7 rule: Assume that a set of test scores is normally distributed with a mean of 100 and a standard deviation of 20. Use the 68-95-99
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class notes that you had put up on blackboard. Chapter 3 Summaries: Chapter 3 talks about descriptive statistics with numerical measures. These measures consist of location and variability. The measures of locations are mean‚ median‚ mode‚ weighted mean‚ geometric mean‚ percentiles‚ and quartiles. If these measures are computed for data from a sample it’s called sample statistics. If these measures are computes as population it’s called population parameters. A sample statistic
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variables‚ the greater the dispersion or variability of the scores for the variable in a distribution. (See Exercise 16 for a detailed discussion of mean and standard deviation.) Since the theoretical normal curve is symmetrical and unimodal‚ the mean‚ median‚ and mode are equal in the normal curve (see Figure 18-1). In the normal curve‚ 95% of the scores will be within 1.96 standard deviations of the mean‚ and 99% of scores are within 2.58 standard deviations of the mean. Figure 18-1 demonstrates the
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Section B Q7. (a) When is Median a better method of Central Tendency than Arithmetic Mean? (5marks) (b) Write about the 5 precautions of using Secondary Data? (3 marks) (c) “You should be very careful while designing a questionnaire”. Elaborate on the statement (2 marks) Q8. (a) Write down any 5 methods of making a sample? Explain briefly any two methods? (5marks) (b) Two regression lines of a sample are X+6Y=6 and 3X+2Y=0 Find (I) The correlation coefficient (II) Mean of X and Y
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uses two sets of samples in order to analyse and compare. In order to present an evaluation on the companies‚ a box plot (box & whisker) will be created. A box plot is particularly useful when observing two sets of data as it shows the distribution‚ median‚ maximum and minimum values‚ and the lower and upper quartiles which can be comparable. A box plot will also expose any outliers as they will be displayed outside the whisker bounds. (BUGLEAR 2005). This assignment also contains a time series of
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and $1‚810. What are these ungrouped numbers called? A. Histogram B. Class limits C. Class frequencies D. Raw data 10) The sum of the deviations of each data value from this measure of central location will always be 0 A. Mode B. Mean C. Median D. Standard deviation 11) For any data set‚ which measures of central location have only one value? A. Mode and
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Individual Exercise 3 (10 points) 1. A shoe manufacturer’s data show that the distribution of shoe size is normal with a mean of 11inches and SD 1.5 inches. * A manger of the company claims that 70% of the times shoe size will be between 8 and 12 inches. What do you think? In your deliverables‚ write a few lines about what you think of the manager’s claim and what would you advise him to do. (1 point) * How would you modify the manager’s claim if the distribution of shoe size was not
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distribution and a percentage distribution table. b. Construct a histogram. c. If you had to tell the president of the company how long a customer should expect to wait to have a complaint resolved‚ what would you say? Explain. d. Compute the mean‚ median‚ first quartile‚ and third quartile. e. Compute the range‚ interquartile range‚ variance‚ standard deviation. f. Construct a box plot. Are the
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