The data shown below represent the repair cost for a low-impact collision in a simple random sample of mini- and micro-vehicles. Complete parts (a) through (d) below.$3175 $1094 $747 $671$790$1700 $3378 $2028 $2623 $1302Click the icon to view the table of critical correlation coefficient values for normal probability plots.Since the correlation between the expected z-scores and the observed data,.the critical value itreasonable to conclude that the data come from alpopulation that is normally distributed.(Round to three decimal places as needed.) Using the browser's print will lead to an undesirable print-out. Use the Print item from the "Question Help" menu to get abetapa size.Critical ValueSample Size, n Critical Value0.880160.94160.888170.94470.898180.94680.906190.94990.912200.951100.9180.952110.9230.954120.9280.956130.9320.957140.9350.959150.9390.960212223242530

Solution: Let X be the repair cost. The given data for X is 3175, 1094, 747, 671, 790, 1700, 3378,…

Answered: The data shown below represent the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The systolic blood pressure of individuals is thought to be related to both age and weight. Let the systolic blood pressure, age, and weight be represented by the variables x1, x2, and x3, respectively. Suppose that Minitab was used to generate the following descriptive statistics, correlations, and regression analysis for a random sample of 15 individuals. Descriptive Statistics Variable N Mean Median TrMean StDev SE Mean x1 15 158.42 158.72 158.42 3.127 0.807388 x2 15 65.95 66.45 65.95 1.091 0.281695 x3 15 187.23 186.63 187.23 4.171 1.076948 Variable Minimum Maximum Q1 Q3 x1 124 174 135.828 166.400 x2 41 80 47.088 77.579 x3 124 244 142.885 223.525 Correlations (Pearson) x1 x2 x2 0.829 x3 0.860 0.661 Regression Analysis The regression equation is x1 = 0.837 + 1.120x2 + 0.928x3 Predictor Coef StDev T P…
Which of the following is a measure of variability? - Mean - Median - Variance - Dependent variables
A survey has been conducted recently to study the hourly wages of part-time employees at the Food Delivery services sector. The result was organized into the following frequency distribution. Hourly Wages Number of Part-time Employees $40 − less than $50 12 $50 − less than $60 26 $60 − less than $70 35 $70 − less than $80 17 $80 − less than $90 8 $90 − less than $100 2 (i) Calculate the mean, mode and standard deviation of the hourly wages. (ii) Calculate the coefficient of variation. (iii) If the median is equal to 64, calculate Pearson’s 2nd coefficient of skewness and interpret your answer briefly. (iv) The government wants to carry out similar survey next year. If the error of a point estimate of the mean is not more than $1.5, use the 97% confidence level to determine the sample size required to achieve this error.
The Table 1 shows the LDL cholesterol level in a sample of ten heart patients. Table 1: Total LDL cholesterol level 132 162 133 145 148 139 147 160 150 153 Calculate: (a) measures of central tendency. (b) range and semi inter-quartile range. (c) variance and determine the shape of skewness.
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Within-group variability reflects a. random, individual differences b. error variance c. pooled variance d. the effect of the independent variable
An immunologist wants to compare two rabies vaccines. People who had previously received the vaccine were divided into two groups. The first group received a booster dose of type I vaccine and the second group received a booster dose of type II vaccine. Two weeks later the antibody level was measured. The average number of antibodies in each group appears in the following table: Do these data indicate that there is a difference in the effectiveness of the two vaccines used for booster doses? Assume a normal distribution and equal population variances. What type of hypothesis test will allow us to reach a conclusion in the situation posed above? A. Variance test B. Unilateral for difference in proportions C. Bilateral for average difference D. Unilateral for change in effectiveness
Part I A bakery sells homemade bread by the loaf and sales are uniformly distributed between 200 and 600 loaves per day. a. Find the probability of selling 240 loaves on a given day. b. Find the probability of selling between 250 and 260 loaves per day Part II The golf balls produced by TruGolf have a mean distance of 250 meters and a variance of 625 meters. c. How large a sample of TruGolf balls should be taken if they want to estimate with 90% confidence the mean distance to within 8 meters? d A random sample of 40 balls from TruGolf are selected. Find the Bound of Error when the confidence level is 95% for TruGolf
The following table shows the distribution of scores on a final elementary statistics examination for a large section of students. 0.12 The cumulative relative frequency for the class 60-70 (i.e. what percentage of students scored 70 or lower) is 0.06 0.57 Classes for Exam Scores 90 and over 80-90 70 - 80 60-70 50 - 60 40 - 50 Under 40 0.43 Number of Students 5 12 40 18 13 6 6
Box plots (Excel)– Analyze each of these cycle time data but on the same chart: C7, C8, C9. That means one chart showing three different box plots, with a single conclusion that addresses all three. Interpret outside value, mean score, N spread, Fence, upper lower and upper outer fences, adjacent, and outside and far out value. C7 C8 C9 19.98211 20.7142 20.21992 20.01223 20.65907 20.00799 20.02408 20.6437 20.02974 19.94534 20.45958 19.94026 19.86814 20.63716 19.796 20.18784 20.65365 20.01327 19.92074 20.54906 20.01064 20.0778 20.5228 20.07752 19.88045 20.47224 19.95005 20.08633 20.61675 20.13076 19.99881 20.62622 20.06755 20.04184 20.42231 20.13078 19.7936 20.61609 19.88701 19.93159 20.52705 19.87559 20.19998 20.58901 19.88053 20.18833 20.49057 19.9302 20.12368 20.68086 19.9738 19.91343 20.57999 19.8936 20.1602 20.34386 20.02487 20.09396 20.62949 20.09329 20.11419 20.66649 20.00717 19.9063 20.71718 20.04545 20.12964 20.43237 19.95537…
Give a brief example of both a theoretical distribution of data.
when computing descriptive statistics, we are interested only both describing our data and also in presenting the means and standard deviations of all dependent variables. True or false When writing your participant section, you include all measures of central tendency (mean, median, mode) and all measures of variablility (variance, range, standard deviation). True or false

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