Question

In: Statistics and Probability

(a) Using R and R Commander, run the Correlation test between the variables attpublicschools and attteachingprof....

  1. (a) Using R and R Commander, run the Correlation test between the variables attpublicschools and attteachingprof. Copy appropriate output and paste it below this question. Is the correlation significant at 5% alpha level?                                                                                   [6 Points]

I have done the correlation test. (see below for data) How do I know if the correlation significant at 5% alpha level? Is 5% alpha the same as 95% confidence interval?

Pearson's product-moment correlation

data: attpublicschools and attteachingprof

t = 3.724, df = 22, p-value = 0.001179

alternative hypothesis: true correlation is not equal to 0

95 percent confidence interval:

0.2915420 0.8196169

sample estimates:

      cor

0.6218095

Solutions

Expert Solution

we have given output of the correlation test : t statistics , p value .

correlation test :

To test :

Ho : ρ = 0 VS H1 : ρ ≠ 0

( it is two sided test )

where ρ population correlation coefficient .

Test statistics : t =

t = 3.724,

df = 22 ( degree of freedom )

p-value = 0.001179

α = 95 % ie 0.05 ( level of significance)

Decision : We reject Ho if p value is less than α value using p value approach here p value is less than α value we reject Ho at given level of significance

Conclusion : There is sufficient evidence to conclude that population correlation is different than zero .

we can say it is significant at given level of significance .

### 95 percent confidence interval:

[ 0.2915420 , 0.8196169 ]

conclusion from the confidence interval : result is significant if interval does not include null value

here confidence interval is free from null value we can say that it is significant .

### here result is same from testing of hypothesis and confidence interval .


Related Solutions

Using R and R Commander, perform a Chi-squared test of independence with marstatus in the Columns...
Using R and R Commander, perform a Chi-squared test of independence with marstatus in the Columns and gender in the Rows. Click on Statistics tab and select the first three options under Hypothesis Tests. Copy the output and paste it below this question. Is the Chi-squared test significant at the 5% alpha level? Are the results reliable? Please see data below. Can you explain? Frequency table:         marstatus gender   Divorced Married Single Female        2       6      9 Male          1       0      6...
What are the differences between results that demonstrate a correlation between two variables and results where a regression is run using two variables?
What are the differences between results that demonstrate a correlation between two variables and results where a regression is run using two variables? Think about your future clinical role and provide a clinical example of variables that you may want a correlation analysis run and explain. Think about your future clinical role and provide a clinical example of variables that you may want a regression analysis run and explain.
Using R and R Commander, perform an Independent samples t-test on the variable attpublicschools selecting gender...
Using R and R Commander, perform an Independent samples t-test on the variable attpublicschools selecting gender as grouping variable. Click on Options tab and select Yes under Assume equal variances? Copy the output and paste it below this question. Is the t-test significant at 5% alpha level? Can you explain it to me? Here is my data: Two Sample t-test data: attpublicschools by gender t = -0.29221, df = 22, p-value = 0.7729 alternative hypothesis: true difference in means is...
Use the data values in the table below to calculate the correlation, r, between the variables...
Use the data values in the table below to calculate the correlation, r, between the variables x and y. x y 4 12.32 5 13.1 6 16.68 7 20.26 8 22.44 9 22.72 10 23.4 11 26.98 12 28.66 Give your answer to rounded three decimal places.
Using excel compute correlation coefficients, correlation matrix and test the significance of the correlation coefficients between...
Using excel compute correlation coefficients, correlation matrix and test the significance of the correlation coefficients between sales with price,  sales with advertisments using alpha 0.05 Sales Price Adver 19.98 14.10 15.19 19.98 18.65 15.19 19.98 18.65 13.87 19.98 18.65 12.83 19.98 18.65 13.16 19.98 18.65 15.19 19.98 18.65 13.92 20.10 18.73 14.42 20.12 18.75 13.83 20.13 18.75 14.50 20.14 18.75 13.87 20.12 18.75 13.64 20.12 13.87 14.31 20.13 14.27 13.85 20.14 18.76 14.20 20.14 18.77 13.64 20.13 13.87 14.33 20.13 14.14...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance (b) size (c) strength (d) direction 2. 10 pairs of sample data were obtained from a study which looked at household income and the number of people in the household who smoked (cigarettes). The value of the linear correlation coefficient r was computed and a result of - 0.989 was obtained. All of the following (below) are conclusions that can be drawn from the...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance (b) size (c) strength (d) direction 2. 10 pairs of sample data were obtained from a study which looked at household income and the number of people in the household who smoked (cigarettes). The value of the linear correlation coefficient r was computed and a result of - 0.989 was obtained. All of the following (below) are conclusions that can be drawn from the...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance (b) size (c) strength (d) direction 2. 10 pairs of sample data were obtained from a study which looked at household income and the number of people in the household who smoked (cigarettes). The value of the linear correlation coefficient r was computed and a result of - 0.989 was obtained. All of the following (below) are conclusions that can be drawn from the...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance (b) size (c) strength (d) direction 2. 10 pairs of sample data were obtained from a study which looked at household income and the number of people in the household who smoked (cigarettes). The value of the linear correlation coefficient r was computed and a result of - 0.989 was obtained. All of the following (below) are conclusions that can be drawn from the...
1. If there is no correlation between two variables, what is the value of the correlation...
1. If there is no correlation between two variables, what is the value of the correlation coefficient? to. -1 b. 0 c. 1 d. -0 2. In a scatter diagram, on which axis is the dependent variable always recorded? to. x axis b. y axis 3. What is the dependent and independent variable? • time • quantities produced
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT