1. A researcher wants to know whether one fertilizer (Brand 1) causes plants to grow faster...

  

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1. A researcher wants to know whether one fertilizer (Brand 1) causes plants to grow faster than another brand of fertilizer (Brand 2). Starting with seeds, he grows plants in identical conditions and randomly assigns fertilizer "Brand 1" to 7 plants and fertilizer "Brand 2" to 6 plants. The data for this experiment are as follows where the outcome measurement is the height of the plant after 3 weeks of growth. Group Statistics type N height 2 height Equal variances assumed Equal variances not assumed Levene's Test for Equality of Variances 76 Mean 53.0714 Std. Deviation Std. Error Mean 1.90938 .72168 54.2500 1.70968 .69797 Independent Samples Test Hest for Equality of Means 95% Confidence Interval of the F sig t Sig (2-talled) 075 790 -1.163 11 269 Mean Difference -1.17857 StError Difference 1.01329 Difference Lower Upper -3.40881 1.05166 -1.174 10.963 265 -1.17857 1.00398 -3.38922 1.03208 a. What test was performed? b. Is the homogeneity of variance assumption met? c. Report results in APA style d. Are the results significant? e. What do the results mean? (i.e. last part of interpretation) 1. A researcher wants to know whether one fertilizer (Brand 1) causes plants to grow faster than another brand of fertilizer (Brand 2). Starting with seeds, he grows plants in identical conditions and randomly assigns fertilizer "Brand 1" to 7 plants and fertilizer "Brand 2" to 6 plants. The data for this experiment are as follows where the outcome measurement is the height of the plant after 3 weeks of growth. Group Statistics type N height 2 height Equal variances assumed Equal variances not assumed Levene's Test for Equality of Variances 76 Mean 53.0714 Std. Deviation Std. Error Mean 1.90938 .72168 54.2500 1.70968 .69797 Independent Samples Test Hest for Equality of Means 95% Confidence Interval of the F sig t Sig (2-talled) 075 790 -1.163 11 269 Mean Difference -1.17857 StError Difference 1.01329 Difference Lower Upper -3.40881 1.05166 -1.174 10.963 265 -1.17857 1.00398 -3.38922 1.03208 a. What test was performed? b. Is the homogeneity of variance assumption met? c. Report results in APA style d. Are the results significant? e. What do the results mean? (i.e. last part of interpretation)