Question

5.) To test the hypotheses that there is no significant correlation vs there is significant correlation...

5.) To test the hypotheses that there is no significant correlation vs there is significant correlation between two variables X and Y (two sided test) a sample of size 15 is taken with alpha=10%. Find the critical value for this test.

6.) Researchers wanted to calculate the correlation between weight (X) and blood pressure (Y). Data from 8 individuals were collected and following information were calculated. ∑X=317 ∑ X = 317 , ∑Y=1943 ∑ Y = 1943 , ∑X.Y=101276 ∑ X . Y = 101276 , ∑X2=17027 ∑ X 2 = 17027 , ∑Y2=637733 ∑ Y 2 = 637733. Find Pearson correlation coefficient.

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
1. To test the hypotheses that there is no significant correlation vs there is significant correlation...
1. To test the hypotheses that there is no significant correlation vs there is significant correlation between two variables X and Y a sample of size 15 is taken. Find the test value when correlation coefficient is 0.885 2. To test the hypotheses that there is no significant correlation vs there is significant correlation between two variables X and Y (two sided test) a sample of size 15 is taken with alpha=10%. Find the degrees of freedom for this test....
Age and Vocabulary Researchers claim that there is significant positive linear correlation between population age and...
Age and Vocabulary Researchers claim that there is significant positive linear correlation between population age and vocabulary based on a sample of nine children with correlation coefficient r = 0.841. Test this claim at the 95% confidence level. Select one for each blank. (a) Hypotheses: H0: [r, rho, x, mu] [=, >=, <=, >, >] 0 Ha: [r, rho, x, mu] [=, >=, <=, >, <] 0 (b) Type of test: [Two sided, Right sided, Left sided]       (c)...
Use the rank correlation coefficient to test for a correlation between the two variables. Ten trucks...
Use the rank correlation coefficient to test for a correlation between the two variables. Ten trucks were ranked according to their comfort levels and their prices. Find the rank correlation coefficient and test the claim of correlation between comfort and price. Use a significance level of 0.05. rs= ? critical values = ?
A hypothesis test using a Pearson’s correlation coefficient is an example of what? A nonparametric statistic...
A hypothesis test using a Pearson’s correlation coefficient is an example of what? A nonparametric statistic A descriptive statistic An inferential statistic A power statistic 1 points    QUESTION 48 What would the scatter plot show for data that produce a Pearson correlation of r = +0.88? Points clustered close to a line that slopes down to the right Points clustered close to a line that slopes up to the right Points widely scattered around a line that slopes up...
Activity 2: Hypothesis test from start to finish Is there evidence of a negative correlation between...
Activity 2: Hypothesis test from start to finish Is there evidence of a negative correlation between systolic blood pressure and heart rate? In a sample of 200 patients, we found a sample correlation of -0.057. State the hypotheses of interest. H0: rho=0    rho<0 What is the notation and value of the sample statistic? r Use StatKey to generate a randomization distribution for these hypotheses. Use the data set ‘ICU Admissions’ available on StatKey. What is the p-value? 0.211 Which two...
Project I Checking Your Progress – Correlation Two “judges” have been asked to rate independently the...
Project I Checking Your Progress – Correlation Two “judges” have been asked to rate independently the pictures of eight individuals in terms of attractiveness on a scale of 1 to 10. Here are the ratings: Picture Judge A Judge B 144 222 342 412 575 656 767 888 Find the correlation between the ratings, and test it for significance. Name: _____________________________________ Judge A mean: Judge B mean: Sum of squares for Judge A ratings: Sum of squares for Judge B...
You have estimated the correlation between exposure to noise (independent variable) and hearing loss (dependent variable)...
You have estimated the correlation between exposure to noise (independent variable) and hearing loss (dependent variable) among factory workers. Both exposure and outcome measures were collected as continuous variables. The statistical analysis showed a Pearson r of 0.4 and the correlation between the two variables was highly significant at p < 0.001. Question: Can one argue that the relationship between the investigated exposure and outcome is causal? why and How likely is the possibility that the results were a mere chance finding? Why?...
Use the rank correlation coefficient to test for a correlation between the two variables. Ten luxury...
Use the rank correlation coefficient to test for a correlation between the two variables. Ten luxury cars were ranked according to their comfort levels and their prices. Make: A B C D E F G H I J K Comfort: 5 8 9 10 4 3 2 1 7 6 Price: 1 7 3 5 4 2 10 9 6 8 Find the rank correlation coefficient and test the claim of correlation between comfort and price. Use a significance level...
A skin care company has data on the monthly rainfall and the sales of sun screen...
A skin care company has data on the monthly rainfall and the sales of sun screen lotion for the 3 months of June, July, and August for the last 20 years. It has calculated the correlation for the 60 pairs of values. The correlation, r, is –0.310 1. The critical value for testing correlation for this data at a significance level of 0.05 (rounded to 3 decimal places) is: 2. What is the appropriate conclusion for a hypothesis test at...
A company medical director failed to find significant evidence that the mean blood pressure of a...
A company medical director failed to find significant evidence that the mean blood pressure of a population of executives differed from the national mean µ = 128. The medical director now wonders if the test used would detect an important difference if one were present. For a random sample of size 72 from a normal population of executive blood pressures with standard deviation σ = 15, the z statistic is z = (¯x − 128)/(15/ √ 72) The two-sided test...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT