An article in the Journal of Agricultural Engineering Research (Vol. 52, 1992, pp. 53-76) describes an experiment to investigate the effect ofdrying temperature of wheat grain on the baking quality of bread. Three temperature levels were used, and the response variable measuredwas the volume of the loaf of bread produced. The data are as follows:Volume (CC)1245 1235 1285 1245||12351235 1240 12001220 12101225 1200 1170 1155 1095Temperature (°C)707580Calculate the test statistic f, (2 decimal places).fo = Blank 1Blank 1Add your answer

Answered: An article in the Journal of…

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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1.16 Income and education in US counties: The scatterplot below shows the relationship between per capita income (in thousands of dollars) and percent of population with a bachelor's degree in 3,143 counties in the US in 2010. a) What is the explanatory variable? Per Capita Income (in $1000s) Percent with a Bachelor's Degree b) What is the response variable? Percent with a Bachelor's Degree Per Capita Income (in $1000s) c) Describe the relationship between the variables. no relationship strong positive weak positive strong negative weak negative d) Can we conclude that having a bachelor's degree increases one's income? Yes No
The following data were collected in an experiment designed to investigate the impact of different positions of the mother on fetal heart rate. Fetal heart rate is measured by ultrasound in beats per minute. The study included 20 women who were assigned to one position and had the fetal heart rate measured in that position. Each woman was between 28-32 weeks gestation. The data are shown below. Back Side Sitting Standing 140 141 144 147 144 143 145 145 146 145 147 148 141 144 148 149 139 136 144 145 Is there a significant difference in mean fetal heart rates by position? Run the test at a 5% level of significance. Write out the appropriate null hypothesis and the alternative hypothesis calculate and report the appropriate test statistic. Please show your work. decide to either fail to reject null hypothesis or reject null hypothesis in favor of the alternative hypothesis and describe the result and the statistical…
The following data are from an experiment on carnations. The explanatory variable is the amount of inorganic bromine (micrograms per milliliter) in a plot of standard size. The response variable is the average number of flowers per carnation plant for the 30 plants grown in the plot. Which of the following statements is true? Bromine Average No. 3 4 3.2 2.9 6 3.7 C. 7 2.2 8 10 12 15 16 1.8 2.3 1.7 0.8 0.3 Select one: a. The value of r is positive and the scatterplot shows that the average number of flowers per carnation increases as the amount of bromine increases. b. The value of r is negative and the scatterplot shows that the average number of flowers per carnation decreases as the amount of bromine increases. The value of r is positive and the scatterplot shows that the average number of flowers per carnation decreases as the amount of bromine increases. d. The value of r is negative and the scatterplot shows that the average number of flowers per carnation increases as the amount…
The concentration level of Zinc in milligrams in two types of soil was found to be as follows Soil A: 2.1 4.0 6.3 5.4 4.8 3.7 6.1 3.3 Soil B: 0.6 3.1 2.5 4.0 6.2 1.6 2.2 1.9 5.4 To check the claim that the medians of concentration level in the two soils were unequal, we conducted an appropriate test at and we found that the test statistics is equal to a. 57 b. 65 c. 47 d. None Decision a. we reject the claim b. we fail to reject the claim c. we can’t decide d. None
4. An article in the Journal of Environmental Engineering (1989, Vol. 115(3), pp. 608-619) reported the results of a study on the occurrence of sodium and chloride in surface streams in central Rhode Island. The following data are chloride concentration y (in milligrams per liter) and roadway area in the watershed x (in percentage). y 4.4 6.6 9.7 10.6 10.8 10.9 0.19 0.15 0.57 0.70 0.67 0.63 y 11.8 12.1 14.3 14.7 15.0 17.3 0.47 0.70 0.60 0.78 0.81 0.78 y 19.2 23.1 27.4 27.7 31.8 39.5 0.69 1.30 1.05 1.06 1.74 1.62 4.1. Draw a scatter diagram of the data. Does a simple linear regression model seem appropriate here? 4.2. Fit the simple linear regression model using the method of least squares.
Data was collected for a sample of organic snacks. The amount of sugar (in mg) in each snack is summarized in the histogram below. Frequency 14 12 10 n = 8 6 100 102 104 106 108 110 112 114 amount of sugar (mg) What is the sample size for this data set?
is my ans correct
The Fish and Game Department stocked a lake with fish in the following proportions: 30% catfish, 15% bass, 40% bluegill, and 15% pike. Five years later it sampled the lake to see if the distribution of fish had changed. It found that the 500 fish in the sample were distributed as follows. Catfish Bass Bluegill Pike 122 75 222 81 In the 5-year interval, did the distribution of fish change at the 0.05 level Find the value of the chi-square statistic for the sample. Estimate the P-value of the sample test statistic. P-value > 0.100 0.050 < P-value < 0.100 0.025 < P-value < 0.050 0.010 < P-value < 0.025 0.005 < P-value < 0.010 P-value < 0.005 Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis that the population fits the specified distribution of categories? Since the P-value > α, we fail to reject the null hypothesis. Since the P-value > α, we reject the null hypothesis. Since the…
Find the 4 yearly moving averages from the following data (1) by centering the averages and (i) by centering the totals : Year: 1989 | 1990 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 Prodn. (in tonnes) : 75 85 98 90 95 108 124 140 150 160
The accompanying data were read from a plot (and are a subset of the complete data set) given in an article. The data represent the mean response times for a group of individuals with closed-head injury (CHI) and a matched control group without head injury on 10 different tasks. Each observation was based on a different study, and used different subjects, so it is reasonable to assume that the observations are independent. Study 1 y= 2 3 4 5 6 7 8 9 10 Mean Response Time CHI Control 250 360 475 525 610 740 880 920 1010 1200 304 492 432 659 683 922 1044 1421 1329 1481 1815 (a) Fit a linear regression model that would allow you to predict the mean response time for those suffering a closed-head injury from the mean response time on the same task for individuals with no head injury. (Round your answers to four decimal places.) (b) Do the sample data support the hypothesis that there is a useful linear relationship between the mean response time for individuals with no head injury and the…
1. (Prob. 11-12, p. 438) An article in the Journal of Environmental Engineering (1989, Vol. 115(3), pp. 608–619) reported the results of a study on the occurrence of sodium and chloride in surface streams in central Rhode Island. The following data are chloride concentration y (in milligrams per liter) and roadway area in the watershed x (in percentage). y 4.4 6.6 9.7 10.6 10.8 10.9 0.19 0.15 0.57 0.70 0.67 0.63 y 11.8 12.1 14.3 14.7 15.0 17.3 0.47 0.70 0.60 0.78 0.81 0.78 y 19.2 23.1 27.4 27.7 31.8 39.5 0.69 1.30 1.05 1.06 1.74 1.62 a. Draw a scatter diagram of the data. Does a simple linear regression model seem appropriate here? b. Fit the simple linear regression model using the method of least squares. Find an estimate of o?. C. Estimate the mean chloride concentration for a watershed that has 1% roadway area. d. Find the fitted value corresponding to x = 0.47 and the associated residual.
A special education teacher did research on whether or not there is a relationship between the number of students in his class and the number incidents of “acting out” behaviors exhibited by the autistic students in the classroom. He collects data for a year and aggregates them by month. He obtained the statistics below, r= -.863 R2=.74 b= -1.212294 a= 131.176598 10.) How does the presence of more students affect the incidents in the class? a) as students are added the incidences increase b) as students are added the incidences decrease c) the number of students does not affect acting out d) the number of students caused more incidents How much of the variability of acting out is explained by the number of students in the class?___________

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