You wish to test the following claim (Ha) at a significance level of a = 0.10.H₂:μ₁ = μ₂H₁: M₁ M₂You obtain the following two samples of data.Sample #197.595.3 84.6 95.979.9 90.3 85.9 81.688.4 92.1 82.194.369.3 94.8 74.583.482.1 81.8 92.884.192.1 98.793.9 92.878.5 69.388 8285.2 76.3 92.885.1 92.4 93.1 90.3100.585.2 87.3What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic =What is the p-value for this sample? For this calculation, use the degrees of freedom reported from thetechnology you are using. (Report answer accurate to four decimal places.)p-value =The p-value is...Sample #2100.892.8 56.6 107.139.363.8 53.37293.487.2 95.497.576.19172 84.657.5 58.4 102.6100.855.6 59.3 95.458.481.699.9 75.1 76.686.6 49.172.6 67.654.5 107.163.1102.66782.6 76.6O less than (or equal to) aO greater than aThis test statistic leads to a decision to...O reject the nullO accept the nullO fail to reject the null

Given: n1 = 38 n2 = 39 α = 0.10 Formula Used: Test-statistic t = X1 - X2sp1n1+1n2 sp =…

Answered: You wish to test the following claim…

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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Use the following sample data to answer the next questions. At the same time each day, a researcher records the temperature in each of three greenhouses. The table shows the temperatures in degrees Fahrenheit recorded for one week. Answer the ANOVA hypothesis steps below. (α= 0.025) Greenhouse 1 Greenhouse 2 Greenhouse 3 73 71 67 72 69 84 73 70 85 66 77 73 86 75 85 71 65 80 72 73 75 70 71 84 H0: Ha: F value: F-critical value: p-value: Conclusion: (Example answer: Reject or Fail to reject)
"1ÄUZ☺ 8:17 K/s You Just now 1. Consider the data below. This data represents the number of miles per gallon that 30 selected four-wheel drive sports utility vehicles obtained in city driving 12 17 16 | 14 16 18 16 18 17 16 17 15 15 16 16 15 16 19 10 14 15 11 15 15 19 13 16 |18 16 20 i) Calculate mean (Using Direct and Indirect method), median and mode of ungrouped data.
A study was done to look at the relationship between number of lovers college students have had in their lifetimes and their GPAs. The results of the survey are shown below. Lovers 0 3 1 2 5 1 8 GPA 3.3 2.9 3.4 3.3 2.5 2.8 0.7 1. The p-value is: _____ (Round to four decimal places) 2. Use a level of significance of α=0.05 to state the conclusion of the hypothesis test in the context of the study (pick one). a. There is statistically significant evidence to conclude that there is a correlation between the number of lovers students have had in their lifetimes and their GPA. Thus, the regression line is useful. b. There is statistically significant evidence to conclude that a student who has had more lovers will have a lower GPA than a student who has had fewer lovers. c. There is statistically insignificant evidence to conclude that a student who has had more lovers will have a lower GPA than a student who has had fewer lovers. d. There is statistically insignificant…
Q.1 Q.1 Two samples A and B were taken from a large concrete mix and tested for the compressive strength of concrete (in MPa), find the mean, median and mode of cach of the two samples. The results of tested specimens from each sample were as follows: 国 Compressive Strength 15 18 21 24 27 30 (MPa) Sample A Frequency 2 2 4 1 Sample B Frequency 3 2 2 1 Option 1 13
The price X (dollars per pound) and consumption y (in pounds per capita) of beef were samples for 10 randomly selected years. The following data should be used to answer the question that follows. n = 10 Ex = 36.19 Ix² = 134.17 2.9 < x s 6.2 Ey = 774.7 Iy² = 60739.23 Exy = 2832.21 Using this data, a student calculated SSy = 28.43 SSx = 3.2 SSy= 717. Calculate the %3D %3D value of the standard error or regression, Se , and enter you answer accurate to the nearest hundredth (2 decimal places).
Q1 An engineering student wants to study the impact of temperature and humidity on yield. The following data was recorded by the student. S.N Temperature Humidity Yield 1 40 57 112 2 45 54 118 3 50 54 128 4 55 60 121 60 66 126 65 59 136 7 70 61 144 8 75 58 142 80 59 149 10 85 56 165
The following data represent the results from the specific gravity test performed in a soil laboratory including twenty samples of sand. * :The value of Root Mean Square is Specific Gravity 2.30-2.39 Number of Samples 1 2.40-2.49 2.50-2.59 3 2.60-2.69 2.70-2.79 6. 7 2.80-2.89 1 3.6-3.8 2.97-3.0 2.4-2.5 2.85-2.95 2.75-2.84 1.5-2.0 2.6-2.7 2.32-2.39
T-TEST FOR INDEPENDENT MEANS 1. Two types of instruments for measuring the amount of sulfur monoxide in the atmosphere are being compared in an air pollution experiment. It is desired to determine whether the types of instruments yield measurement having the same variability. The following readings were recorded for the instrument. Sulfur Monoxide Instrument A Instrument B 0.86 0.87 0.82 0.74 0.75 0.63 0.61 0.55 0.89 0.76 0.64 0.70 0.81 0.69 0.68 0.57 0.65 0.53 Assuming the population of measurements to be approximately normally distributed, test the null hypothesis using two tailed test at 0.05 level of significance.
A random sample of 42 earthquakes that have occurred between January 2015 and September 2017 was selected and for each earthquake the magnitude of the earthquake and the number of people killed was recorded. The data appear in the scatterplot below. 400 350 300 250 200 150 100 50 0 3 -50 4 5 6 7 8 9 10 -100 -150 Magnitude of Earthquake 8 Consider the scatterplot above question 2. Use this scatterplot to describe completely the relationship between the magnitude of the earthquake and the number of people killed. Positive and linear Negative, moderate, linear O Negative, strong, linear Positive, moderate, linear Number of People Killed ---
You wish to test the following claim (Ha) at a significance level of a = 0.01. H₂:μ₁ = μ₂ Ha:μι > με You obtain the following two samples of data. Sample #1 Sample #2 60 50.1 91.5 89.8 56 44.8 85.6 93.4 58.4 83.8 106.9 73.9 44.8 78.1 70.8 37.7 63.5 82.7 71.7 34.7 90.6 67.7 66.8 61.6 65 65.9 77.6 61.1 111.7 106.9 51.8 88.3 69 80.5 78.1 62.6 99.7 64.5 67.2 52.6 71.2 75.3 76.2 96.8 70.8 49.2 46.1 111.7 51.8 The p-value is... mlm What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = 66.2 63.3 60 63.1 61.3 75 62.3 63.3 69.4 57.9 71.2 68.4 74.7 70.6 65.1 68.5 75.8 78.4 73.1 58.6 59.1 66 71.5 67.2 67.3 69 70.9 68.9 73.1 64.4 66.9 71.2 65.6 68.7 60.7 65.3 76.3 74.7 70.1 65.6 59.6 68.2 67.2 69.7 68.9 65.4 66.2 65.6 65.1 62.5 0.7 60.4 68.9 76.8 65.6 76.3 64.7 55.6 71.7 69.7 64.2 72.9 What is the p-value for this sample? For this calculation, use the degrees of freedom reported from the technology you are using. (Report answer accurate to…
Use the following sample to evaluate H0: μ = 65, at significance level α = 0.05. 53 75 68 53 57 12 4 10 45 94 23 73 9 41 79 92 90 46 49 71 State the correct test and your conclusion. T-test. Reject Ho. T-test. Fail to reject Ho. Z-test. Fail to reject Ho. Z-test. Reject Ho.
The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment I II 10 7 N = 16 8 4 G = 120 7 9 ∑X² = 1036 9 3 13 7 7 6 6 10 12 2 M = 9.000 M = 6.000 T = 72 T = 48 SS = 44 SS = 56 Use an independent-measures t test with α = .05 to determine whether there is a significant mean difference between the two treatments. (Use three decimal places; subtract MIIII from MII.) t-critical = ± t = t Distribution Degrees of Freedom = 21 -3.0-2.0-1.00.01.02.03.0t Conclusion: Fail to reject the null hypothesis; there are significant differences between the two treatments. Reject the null hypothesis; there are significant differences between the two treatments. Fail to reject the null hypothesis; there are no significant differences between the two treatments. Reject the null hypothesis; there are…

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