Exam 3: Descriptive Statistics: Numerical
Exam 1: Data and Statistics72 Questions
Exam 2: Descriptive Statistics: Tabulargraphical76 Questions
Exam 3: Descriptive Statistics: Numerical154 Questions
Exam 4: Introduction to Probability93 Questions
Exam 5: Discrete Probability Distributions81 Questions
Exam 6: Continuous Probability Distributions114 Questions
Exam 7: Sampling and Sampling Distributions103 Questions
Exam 8: Interval Estimation78 Questions
Exam 9: Hypothesis Tests94 Questions
Exam 10: Inference About Means and Proportions With Two Populations61 Questions
Exam 11: Inferences About Population Variances60 Questions
Exam 12: Comparing Multiple Proportions, Test of Independence and Goodness of Fit45 Questions
Exam 13: Experimental Design and Analysis of Variance67 Questions
Exam 14: Simple Linear Regression119 Questions
Exam 15: Multiple Regression113 Questions
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The heights (in inches) of 25 individuals were recorded and the following statistics were calculated mean = 70
Range = 20
Mode = 73
Variance = 784
Median = 74
The coefficient of variation equals
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A numerical value used as a summary measure for a sample, such as sample mean, is known as a
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The grade point average of the students at UTC is 2.80 with a standard deviation of 0.84.The grade point average of students at UTK is 2.4 with a standard deviation of 0.84.Which university shows a more dispersed grade distribution?
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Which difficulty of range as a measure of variability is overcome by interquartile range?
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A mean computed in such a way that each data value is given a weight reflecting its importance is referred to as a
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The value of the sum of the deviations from the mean, i.e., must always be
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The difference between the largest and the smallest data values is the
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When the data are skewed to the right, the measure of Skewness will be
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The measure of variability easiest to compute, but seldom used as the only measure, is the
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The following is a frequency distribution of grades of a sample of statistics examinations. Grade Frequency 50-59 7 60-69 10 70-79 22 80-89 15 90-99 6 Compute the following measures:
a.
The mean
b.
The variance
c.
The standard deviation
d.
The coefficient of variation
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Which of the following symbols represents the mean of the sample?
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The following data shows the number of students enrolled in various professors' statistics classes. Professor Enrollment A 256 B 167 C 159 D 164 E 170 F 156 For the above sample, compute the following measures.
a.
The variance
b.
The standard deviation
c.
If we consider professor A's enrollment as an outlier, compute the variance and the standard deviations, excluding Professor A's class. (Round to two decimal places.)
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Descriptive statistics for the closing stock prices of two companies for several trading periods are shown below.
Baba, Inc Mean 4.00 Standard Error 0.11 Median 3.92 Mode 4.19 Standard Deviation 1.12 Sample Variance 1.25 Kurtosis -1.15 Skewness 0.08 Range 3.95 Minimum 2.03 Maximum 5.98 Sum 436.32 Count 109 Maman, Inc Mean 15.91 Standard Error 0.29 Median 16.59 Mode 15.58 Standard Deviation 3.21 Sample Variance 10.31 Kurtosis 3.52 Skewness -2.09 Range 13.45 Minimum 5.55 Maximum 18.99 Sum 1972.61 Count 124
a.
Which company's stock price has a more dispersed distribution? Explain. Show your complete work and support your answer.
b.
Compare the Skewness' of the two and explain what is indicated.
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