1. The objective of a study was to find out whether there was any relationship between level of education(high school, four year college, and graduate work) and attitude toward pre-screening for breast cancer (i.e., going for mammograms) sum of square degrees of freedommean square Fbetween group 1815.068 2 907.534 ?within group 51912.079 509 101.988 total 53727.147 511 Given the above data, what is the best answer?Select one:a. Reject the null hypothesis and conclude that higher level of education leads to a more positive attitude toward seeking pre-screening for breast cancer.b. Fail to reject the null and conclude that high school, four year college, and graduates have a similar attitude toward prescreening for breast cancer.c. Reject the null and conclude there is a relationship between level of education and seeking prescreening for breast cancer.d. Fail to reject the null and conclude that there is no relationship between level of education and attitude toward prescreening for breast cancer.2.Given the following information, calculate mean square between.level of education sample size mean on attitude toward doing mammogramshigh school 100 70four year college 200 75graduate 200 80Select one:a. MS between = 2300b. MS between = 6900c. MS between = 5750d. MS between = 3500Check3.The following data has been collected by a researcher on a random sample of 500 middle school students:Parental socio-economic status (upper middle class, middle class, lower middle class)Standardized scores on reading in 2009Standardized scores on reading in 2008student genderWhat statistical method would you recommend to answer the following questions:Question one: Is there any relationship between socio-economic status and gain in standardized reading scores from 2009 to 2010?Question two: For the upper middle class, was there a gain in reading scores from 2009 to 2010?Question three: Did girls show more gain in reading scores than boys?Select one:a. One-way anova for A, one-sample test of the mean for B, and one-way anova for C.b. independent sample test for A, dependent sample test for B, and one-sample test of the mean for C.c. Two sample test of the mean repeated three times ford. One-way anova for A, paired sample test for B, and two-sample test for C.4.Dr. Sullivan has a grant from the National Science Foundation to examine the effect of three methods for lowering the symptoms of schizophrenia among subjects in the 30-40 year age range. He randomly assigns 90 subjects who have volunteered to participate in the study to one of the three programs (medication only, medication plus living in a group home, medication, plus living in a group home, plus group counseling). What is the best way to state the null hypothesis for this study? Symptoms of schizophrenia are measured at baseline and after six months in the program. Both scores are in terms of percentages.Select one:a. alpha 1 = alpha 2 = alpha 3 = 0b. alpha^1 = alpha^2 = alpha^3 = 0c. mue 1 = mue 2 = mue 3 = mue grandd. xbar 1 = xbar 2 = x bar 3 = xbar grandCheckCheck5.The following output was generated as part of a statistical analysis for examining the relationship between level of education (high school, college, and graduate) and the knowledge of breast cancer (range 0-100). Leven's test resultsF value df1 df2 sig level0.866 2 432 0.421What is the best way to interpret the above table?Select one:a. We can conclude that the variance for the knowledge of breast cancer is not significantly different in the three populations from which the samples were drawn.b. We conclude that the assumption of equality of variance is tenable and S1^2 = S2^2 = S3^2.c. Fail to reject the null hypotheis and conclude that there is no relationship between level of education and knowledge of breast cancer.d. We fail to reject the null that mue 1 = mue2 = mue 3 and there is no need to carry post-hoc methods lik Tukey.6.In an analysis conducted on the relationship between the number of years lived in the US (1-5, 5-10, 10-25, and >25 years) and knowledge of breast cancer the following data was reported:F (MSB/MSW) = 3.274, P = 0.021, R^2 = 2.3What is the best way to interpret the above data?Select one:a. We fail to reject the null hypothesis that there is no relationship between the number of years lived in the US and knowledge of breast cancer. The reason behind this conclusion is that there multiple confounding factors that could be related to knowlege of breast cancer.b. We fail to reject the null hypothesis that there is no relationship between years live in the US and knowledge of breast cancer. However, only 2.3% of the variance in the knowledge of breast cancer can be explained by years lived in the US.c. We reject the assumption of equality of the variance in the four populations. We need to see the sample size to see if ANOVA could be conducted.d. There is a statistically significant but not practically significant relationship between years lived in the US and knowledge of breast cancer.7.One-way ANOVA was conducted to examine the relationship between ethnic background and the extent to which religious attitude prohibited prevention practices for breast cancer.The following data was reported:F = MSB/MSW = 5.453, P = 0.001Results obtained from Tukey post-hocsethnic backgrounds compared P value resulting from TukdyAfrican American Vs. Arab 0.448African American vs. Persian 0.626African American vs. South East Asian 0.973Arab vs. Persian 0.001Arab vs. South East Asian 0.448Persian vs. South East Asian 0.535What is the best way to interpret the above results?Select one:a. We reject the null and conclude that there is a relationship between ethnic background and theextent to which religeous attitude prohibits practice preventions for breast cancer.b. The null hypothesis is rejected. The only groups that are different are Persians and Arabs. But, we do not know which group is more prohibited by religion becasue we do not have the means.c. We fail to reject the null hypothesis and conclude that there is no statisticaly signfiant differnce between the mean of the four ethnic backgrounds on the extent to which religious attitude prohibits prevention practices for breast cancer.d. Since five out of six post-hocs are insignificant, we fail to rejct the null that there is no relationship between ethnic background and the extent to which religious practices effect prevention practices for breast cancer.8.CheckCheckA researcher conducts one-way anova to find out