A researcher plans to do a study to see whether people who eat an all carbohydrate meal have different scores on a mood scale than people who eat an all protein meal. Thus, the manipulated independent variable is the type of meal (1 = carbohydrate, 2 = protein). What analysis would be the best choice to analyze the data?

Read through this scenario and look at the data that was collected.  State the null and all possible research hypotheses.  Review the results below (I used SPSS) and answer the questions that follow. Scenario:  A researcher wants to see if gender and / or income affects the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help.  The independent variables are gender, income, and the interaction of gender and income.  The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affects the total amount of help offered.  Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA.  His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect.  The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables…

A research study was conducted about gender differences in Sexting. The researcher believe that the proportion of girls involved in sexting is less than the proportion of boys involved. The data collected in the spring of 2010 among a random sample of middle and high school students in a large school district in the southern United States is summarized in table. Is the proportion of girls sending sexts less than the proportion of boys sexting? The test at 1% level of significance.   Females Males Sent sexts x1= 156  x2= 183 Total number surveyed  n1= 2169 n2= 2231 Let M and F Be the subscripts for males and females. Then pM and pF are the desired population proportions.  What is the question/claim to be tested in symbols the hypothesis is  Ho: Ha: which hypothesis matches the claim  test objective is to reject or support  level of significance a=.01 type of test (left, right, two-tailed) the applicable test to be applied is           (2-sampZTEST/2-sampTTEST, 2-propZTEST)…

Katie is studying aggression among adolescent girls. She believes that there is a relationship between the level of interaction a girl has with her mother and the level of aggression. She has identified 5 girls who fall into each of 4 interaction level and has measured their aggression scores. Her data are given below. Complete table below by filling in boxes with correct value. Show calculation. No Low Moderate High interaction interaction interaction interaction A, A A1 A2 A3 A4 4 16 4 16 4 16 25 36 4 16 4 16 36 25 3 4 16 36 4 16 25 3. 5 25 25 4 16 3 9 Σ Α82 n2=5; n3=5; n4=5; N= O; X = D; X;=4.80; X 3=4.00; X 4=3.40 Σ Α-26 Σ Α-138 Σ Α Σ Α-118 Σ A-20 Σ Α-17 ΣΑ ; ΣΑΟ397; ni- tot