D. A group of research students wants to determine whether there is a correlation between the number of theft cases X and the number of vandalism cases Y that took place in their school. Given the following data, what conclusion can be derived from the study? Month Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar X (number of theft cases) 15 30 12 9. 10 11 28 Y (number of vandalism cases) 15 15 21 4 12 2) 20 6 6 3.

D. A group of research students wants to determine whether there is a correlation between the number of theft cases X and the number of vandalism cases Y that took place in their school. Given the following data, what conclusion can be derived from the study? Month Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar X (number of theft cases) 15 30 12 9. 10 11 28 Y (number of vandalism cases) 15 15 21 4 12 2) 20 6 6 3.

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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time in studying, the higher is their academic performance. O b. There isa strong negative correlation between the number of hours spent by the learners in studying and their academic performance. As a learner spends more time in studying, the lower is their academic performance. O c. There is a perfect correlation between the number of hours spent by the learners in studying and their academic performance. As a learner spends more time in studying, the higher is their academic performance. O d. There is no correlation between the number of hours spent by the learners in studying and their academic performance. From the study "Increasing Mathematics Achievement through Contextualized and Localized Materials in Distance Learning", which of the following statement/s are true about its dependent and independent variables? I. Mathematics achievement is the dependent variable
A hospital found that a lower outside temperature indicates a higher number of patient visits. What can we determine from this information? There is no correlation between outside temperature and number of patient visits. There is a correlation between outside temperature and number of patient visits. However, there is no causation. This is because there is an increase in the number of patient visits with a decrease in the temperature outside. There is a correlation between outside temperature and number of patient visits. There may or may not be causation. Further studies would have to be done to determine this.
Data was collected at a tennis court. It showed that being older implies that a player will stay for a shorter length of time. What is likely true? O There is no correlation between age and length of stay. O There is a correlation between age and length of stay. There may or may not be causation. Further studies would have to be done to determine this. O There is a correlation between age and length of stay. However, there is no causation. This is because there is a decrease in the length of stay with an increase in age.
Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights Correlation Results of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of a = 0.05. Correlation coeff, r: 0.969467 Critical r: +0.2680855 P-value (two tailed): 0.000 ..... Determine the null and alternative hypotheses. Ho: P (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. r= (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) A. There are two critical values at r= + В. There is one critical value at r= Is there sufficient evidence to support the…
A study was done asking people how much money they spend per month on their natural gas bill and how much money per month they spend on their electric bill. The correlation r was found to be 0.94 and the p- value for correlation was 0.0003. Then a person with a high natural gas bill will also have a high electric bill. O true false
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Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of a = 0.05. Correlation Results Correlation coeff, r: 0.969937 Critical r: + 0.2680855 P-value (two tailed): 0.000 B. There is one critical value at r= Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? Choose the correct answer below and, if necessary, fill in the answer box within your choice. (Round to three decimal places as needed.) A. Yes, because the absolute value of the test statistic exceeds the…
Using data from the 2008 General Social Survey (GSS), political psychologists were interested in whether speaking a language other than English (1=yes, 2=no) and political views (1=extremely liberal, 7=extremely conservative) would predict attitudes toward the number of immigrants there should be in the United States (1=should be increased a lot, 5=should be reduced a lot). Review the SPSS output and answer the questions below. Describe the correlations between each predictor variable and the outcome variable. Indicate the direction, strength, and pattern of each relationship. Also, indicate whether they were significant.
at the 0.05 significance level, does the data below show significant correlation. x is 3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18, y is 19.07, 25.46, 26.95,34.34,24.73,28.82,35.71,43.6,35.19,41.48,49.07,53.46,52.05,53.64,51.43,63.92. yes, significant correlation or no.
Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of α=0.05. Correlation Results Correlation coeff, r: 0.963947 Critical r: ±0.2680855 P-value (two tailed): 0.000 Determine the null and alternative hypotheses. H0: ρ is: = 0 H1: ρ is: ≠ 0 Given all the information provided: Identify the correlation coefficient, r. r= _____ (round to three decimal places)
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