. Using the Pearson correlation coefficient, a study on addiction found a positive correlation between time of cravings and time of relapse (r = .51) in a sample of 20 people with a drug addiction. Using a two-tailed test at a .05 level of significance, test whether the correlation is significantly different than 0. Follow the prompts. Step 1. State the hypotheses. A B C D Step 2. Find the critical values. df = _______ CV = +/- (do not include +/-) DO NOT USE eTEXT TABLE C.5 - CVs ARE WRONG. Use table attached to homework instead. _________ Step 4. Make a decision about the null hypothesis. a. Reject H0 b. Retain H0

You are a consumer psychologist interested in holiday spending. A national census reports that the American family spent an average of u = $81 for Halloween candy and costumes last year. A sample of N = 16 families this year produced a mean of $85 with s = 20. Using at-test single sample, what is your df?

You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 66 20 75 32 44 31 44 36 19 23 65 29 61 22 58 25 71 27   Ho: ρ = 0Ha: ρ > 0 Find the Linear Correlation Coefficient    r =  Find the p-value   p-value =

Which of the following is consistent with what r2 represents as a measure of effect size? the portion of variability in a sample attributable to a treatment effect relative to the total variability in the sample   the portion of variability in a sample attributable to a treatment effect after correcting for sample size   the statistical significance of a treatment effect   the statistical significance of a treatment effect correcting for the alpha level

You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 64 32 55 30 72 36 34 30 31 18 16 29 21 22 32 18 46 24 46 31   Ho: ρ = 0Ha: ρ > 0 Find the Linear Correlation Coefficient    r =  Find the p-value   p-value =    The p-value is Greater than αα Less than (or equal to) αα   The p-value leads to a decision to Do Not Reject Ho Reject Ho Accept Ho   The conclusion is  There is a significant linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths. There is…

You wish to determine if there is a negative linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 22 20 53 25 19 30 35 23 71 26 36 21 48 25 19 28   Ho: ρ = 0Ha: ρ < 0 Find the Linear Correlation Coefficient    r =  Find the p-value   p-value =    The p-value is Greater than αα Less than (or equal to) αα   The p-value leads to a decision to Accept Ho Do Not Reject Ho Reject Ho   The conclusion is  There is a significant linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths.…

A taxi cab company takes a random sample of 50 of its taxis and notes their miles per gallon (mpg) on a test run. The computer output is shown below. Mean St Dev Min Q1 Q2 Q3 Max 19.78 3.09 13.30 17.80 20.00 21.83 26.00 50% of the taxis have MPG lower than what value? Group of answer choices A. 20 MPG B. (21.83 - 17.80) MPG C. 19.78 MPG D. (26-13.30)/2 MPG

The following table shows the results of a survey focused on alcohol use among teen girls.   Is there a significant relationship between race and trying alcohol among teen girls?   Assume race is the independent variable.  Add appropriate percentages to the table.    a. Write one sentence describing the pattern you see, using specific percentages.   b. State the null and research hypotheses   c. Calculate the appropriate test statistic.   d. What is the critical value at which p<.05?   e. What do you conclude?

The old variety of a plant has 70% pink flowers. A new variety is developed. In a random sample of 93 plants from the new variety, 59 had pink flowers. Test the claim that the percent of plants with pink flowers for the new variety is different than 70%. Use a 0.10 level of significance.   Question 6 options:   DO NOT Reject H0 Using a 0.10 level of significance there is not evidence to say the proportion of pink flowers is different than 0.70   Reject H0 Using a 0.10 level of significance there is evidence to say the proportion of pink flowers is not different than 0.70

4. Can you please help me with theese questions