Please do the 5 steps of the hypothesis, which are. Picture and Homework are attached. Analysis was done in 2008 and is for U.S. Adults. Do the 5 steps of the hypothesis, and provide an interpretation from the example

below.

All information is attached!!!

Follow format. Answer all questions besides do not answer the question "How would you explain these findings?".

Instead, do the 5 steps of the hypothesis and provide an interpretation.

Disregard step number 4 as the analysis is already done and attached for reference. However, please provide a table name for the output attached. Ex. Table 1. Median Male Earnings by Percent Graduated from High School,

U.S. States, 2008.

5 steps

?Null Hypothesis- There is no relationship between percent graduated from high

school in a state and median male earnings.

?Nondirectional - There is a relationship between...

?Directional - There is a positive relationship between ...

? Set Alpha = .05 as this is the maximum risk in the social sciences for a Type 1

error

? Select test statistic- signif for Pearson's r (b/c two scale-continuous variables)

? Run test - SPSS output. Disregard as SPSS output is attached to order. However, please provide a table name for the output attached. Ex. Table 1. Median Male Earnings by Percent Graduated from High School,

U.S. States, 2008

?Make decision - reject or fail to reject? Signif or not?

Make sure to please provide interpretation and follow format. Analysis was done in 2008 and is for U.S. Adults, so please start off that way with your interpretation.

Ex. In 2008, there was a statistically significant, yet

weak, positive relationship between percent of the

population in a U.S. state that graduated from high

school and median male earnings, r=.299, n = 51,

p=.03). As the percentage of high school graduates

increases so does median male earnings.

Approximately 8.9% of the variation in median male

earnings across states can be explained by the

differences in high school graduation rates (r2=.089)

How strong is the relationship?

? Compare Pearson coefficient to Table 5.2

? .8 to 1.0 - very strong

? .6 to .8 - strong

? .4 to .6 - moderate

? .2 to .4 - weak

? .0 to .2 - weak or no relationship

Correlations HOURS PER AGE OF DAY RESPONDENT WATCHING TV AGE OF RESPONDENT Pearson Correlation 1 151" Sig. (2-tailed) 000 N 2013 1316 HOURS PER DAY Pearson Correlation .151* WATCHING TV Sig. (2-tailed) 000 N 1316 1324 ** Correlation is significant at the 0.01 level (2-tailed).Scatter Plot of HOURS PER DAY WATCHING TV by AGE OF RESPONDENT R2 Linear = 0.023 25 20 15 HOURS PER DAY WATCHING TV O 10 5 y=1.86+0.02x 100 20 40 60 80 AGE OF RESPONDENTChapter S . Assessing Association through Bivariate Analysis 131 7. Is there a relationship between a person's age (AGE) and the number of hours spent per day watching TV (TVHOURS)? Use the GSS08 data to test this relationship. Make a prediction: What is the mean number of hours people spend watching television? Would you expect the correlation between age and television viewing to be. . . Negative Nonexistent Positive Now perform the analysis with SPSS and find: Correlation Significance level Is the relationship statistically significant? Yes No Do people tend to watch more or less TV as they age? More Less How would you explain these findings