REVIEW EXERCISES CHAPTER 8 AND 9 PROFESSOR JONAS WIU-RES BY DEBRA JAMES CHAPTER 8 1. High temperature in the United States a meteorologist claims that the average of the highest temperatures in the united states in 98. A random sample of 50 cities is selected‚ and the highest temperatures are recorded. The data are shown. At a=0.05 can the claim be rejected? a=7.7 97‚ 101‚ 99‚ 99‚ 100‚ 94‚ 87‚ 99‚ 108‚ 93‚ 96‚ 88‚ 98‚ 97‚88‚ 105‚ 97‚ 96‚ 98‚ 102‚ 99‚ 94‚ 96‚ 114‚ 99‚ 96‚ 98‚ 97‚ 91‚
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A. What is the mean age of this sample? What is the standard deviation? The mean age is 47.5 years old. The standard deviation is 10.74832 years. http://www.calculator.net/standard-deviation-calculator.html Sample Standard Deviation‚ s: 10.748316881702 Sample Standard Variance‚ s2 115.52631578947 Total Numbers‚ N 20 Sum: 950 Mean (Average): 47.5 Population Standard Deviation‚ σ 10.476163419878 Population Standard Variance‚ σ2 109.75 If it follows the normal distribution The
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provides a measure of central location for the data? a. standard deviation b. mean c. variance d. range Answer: b 2. A numerical value used as a summary measure for a sample‚ such as sample mean‚ is known as a a. population parameter b. sample parameter c. sample statistic d. population mean Answer: c 3. Since the population size is always larger than the sample size‚ then the sample statistic a. can never be larger than the population parameter
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Description of the Average Remington’s Patron9 Table 2 Reported Income by Remington’s Questionnaire Respondents9 Table 3 Importance Ratings when Selecting a Restaurant11 Table 4 Perception Measures of Remington’s Steakhouse Patrons12 Table 5 Relationship Measures of Remington’s Steakhouse Patrons12 Table 6 Patron Perception Verses Importance Ratings13 Table 7 Correlation of Customer Satisfaction and Perception Measures13 Table 8 Regression P-values on Perception Measures14 Table 9 Regression
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Remington’s has large portions‚” on the Remington Data worksheet of the Remington’s Data Set workbook: Mean -3.26 Standard deviation-0.911 Range -3 4 Mean 3.261306533 Standard Error 0.064596309 Median 4 Mode 4 Standard Deviation 0.911243075 Sample Variance 0.830363941 Kurtosis -1.16899198 Skewness -0.663704706 Range 3 Minimum 1 Maximum 4 Sum 649 Count 199 Largest(1) 4 Smallest(1) 1 Confidence Level(95.0%) 0.12738505 Include your calculations in a 1- to 2-page document in which you also do the following:
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Standard deviation is the square root of the variance (Gravetter & Wallnau‚ 2013). It uses the mean of the distribution as a reference point and measures variability by considering the distance of each score from the mean. It is important to know the standard deviation for a given sample because it gives a measure of the standard‚ or average‚ range from the mean‚ and specifies if the scores are grouped closely around the mean or are widely scattered (Gravetter & Wallnau‚ 2013). The standard deviation
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Mean and Standard Deviation The mean‚ indicated by μ (a lower case Greek mu)‚ is the statistician ’s jargon for the average value of a signal. It is found just as you would expect: add all of the samples together‚ and divide by N. It looks like this in mathematical form: In words‚ sum the values in the signal‚ xi‚ by letting the index‚ i‚ run from 0 to N-1. Then finish the calculation by dividing the sum by N. This is identical to the equation: μ =(x0 + x1 + x2 + ... + xN-1)/N. If you are not
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Standard Deviation Abstract QRB/501 Standard Deviation Abstract Standard Deviations Are Not Perverse Purpose: The purpose of this article is to illustrate how using statistical data‚ such as standard deviation‚ can help a cattleman choose the best lot of calf’s at auction. The statistical data used in these decision making processes can also help the cattleman with future analysis of the lots purchased and existing stock. Research Question: How can understanding the standard deviation
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A Study in Determining Confidence Intervals at 95% Charlesatta Johnson PH6014 October 9‚ 2013 Dr. Rodrick Frazier A Study in Determining Confidence Intervals at 95% As hypothesized‚ high cholesterol levels in children can lead to their children being affected with hyperlipidemia. A study is conducted to estimate the mean cholesterol in children between the ages of 2 - 6 years of age. It also attempted to establish a correlation as to the effect family history has on the onset of the disease
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Confidence Intervals Consider the following question: someone takes a sample from a population and finds both the sample mean and the sample standard deviation. What can he learn from this sample mean about the population mean? This is an important problem and is addressed by the Central Limit Theorem. For now‚ let us not bother about what this theorem states but we will look at how it could help us in answering our question. The Central Limit Theorem tells us that if we take very many
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