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The fundamental asset underlying brand equity is ________, the value of customer relationships that the brand creates.

Alternatively, the company expects to sell 400 units. The minimum price per unit it must charge to achieve the same $2,000 profit goal is $ _______

Mark has long supported a particular brand of footwear and has always bought that brand. Recently, the footwear manufacturer was embroiled in a controversy for using child labor at its manufacturing plants. Mark doubts the news reports and continues to purchase the same brand of footwear. It is most accurate to say that Mark displays ________.

By harvesting its SBU(strategic business units), a company would most likely be ________.

Eighty college students were asked to rate two scientists, one male and one female, on their knowledge about their topic areas. Each student was given two passages to read: one passage was about the numerous bio-domes in the world (“Biology”) and another passage was about enhancing the education of elementary school children (“Education”).Half of the students were told that the Biology passage was written by a female and the Education passage was written by a male. The other half of students were told the Biology passage was written by a male and the Education passage was written by a female. Then students rated the scientist’s knowledge on their topic areas on a scale ranging from 1 (“Does not display a professional level of knowledge”) to 100 (“Displays a thorough knowledge of the topic”).A two-factor ANOVA was conducted, and the mean ratings are listed below for each scientist gender and topic area condition. Assume that any effects (or mean differences) you measure are statistically significant.       Scientist Gender Female Male Topic Area Biology 35 65 Education 65 75  a) State whether the results show main effects and/or an interaction.  b) Significant or not, clearly describe each of these effects and the interaction in Plain English. I am expecting you to interpret the patterns not an omnibus interpretation.

Eighty college students were asked to rate two scientists, one male and one female, on their knowledge about their topic areas. Each student was given two passages to read: one passage was about the numerous bio-domes in the world (“Biology”) and another passage was about enhancing the education of elementary school children (“Education”).Half of the students were told that the Biology passage was written by a female and the Education passage was written by a male. The other half of students were told the Biology passage was written by a male and the Education passage was written by a female. Then students rated the scientist’s knowledge on their topic areas on a scale ranging from 1 (“Does not display a professional level of knowledge”) to 100 (“Displays a thorough knowledge of the topic”).A two-factor ANOVA was conducted, and the mean ratings are listed below for each scientist gender and topic area condition. Assume that any effects (or mean differences) you measure are statistically significant.       Scientist Gender Female Male Topic Area Biology 50 60 Education 60 50  a) State whether the results show main effects and/or an interaction. b) Significant or not, clearly describe each of these effects and the interaction in Plain English. I am expecting you to interpret the patterns not an omnibus interpretation.

Eighty college students were asked to rate two scientists, one male and one female, on their knowledge about their topic areas. Each student was given two passages to read: one passage was about the numerous bio-domes in the world (“Biology”) and another passage was about enhancing the education of elementary school children (“Education”).Half of the students were told that the Biology passage was written by a female and the Education passage was written by a male. The other half of students were told the Biology passage was written by a male and the Education passage was written by a female. Then students rated the scientist’s knowledge on their topic areas on a scale ranging from 1 (“Does not display a professional level of knowledge”) to 100 (“Displays a thorough knowledge of the topic”).A two-factor ANOVA was conducted, and the mean ratings are listed below for each scientist gender and topic area condition. Assume that any effects (or mean differences) you measure are statistically significant.       Scientist Gender Female Male Topic Area Biology 40 80 Education 70 50  a) State whether the results show main effects and/or an interaction. b) Significant or not, clearly describe each of these effects and the interaction in Plain English. I am expecting you to interpret the patterns not an omnibus interpretation.

Eighty college students were asked to rate two scientists, one male and one female, on their knowledge about their topic areas. Each student was given two passages to read: one passage was about the numerous bio-domes in the world (“Biology”) and another passage was about enhancing the education of elementary school children (“Education”).Half of the students were told that the Biology passage was written by a female and the Education passage was written by a male. The other half of students were told the Biology passage was written by a male and the Education passage was written by a female. Then students rated the scientist’s knowledge on their topic areas on a scale ranging from 1 (“Does not display a professional level of knowledge”) to 100 (“Displays a thorough knowledge of the topic”).A two-factor ANOVA was conducted, and the mean ratings are listed below for each scientist gender and topic area condition. Assume that any effects (or mean differences) you measure are statistically significant.       Scientist Gender Female Male Topic Area Biology 50 65 Education 80 70  a) State whether the results show main effects and/or an interaction.  b) Significant or not, clearly describe each of these effects and the interaction in Plain English. I am expecting you to interpret the patterns not an omnibus interpretation.

Eighty college students were asked to rate two scientists, one male and one female, on their knowledge about their topic areas. Each student was given two passages to read: one passage was about the numerous bio-domes in the world (“Biology”) and another passage was about enhancing the education of elementary school children (“Education”).Half of the students were told that the Biology passage was written by a female and the Education passage was written by a male. The other half of students were told the Biology passage was written by a male and the Education passage was written by a female. Then students rated the scientist’s knowledge on their topic areas on a scale ranging from 1 (“Does not display a professional level of knowledge”) to 100 (“Displays a thorough knowledge of the topic”).A two-factor ANOVA was conducted, and the mean ratings are listed below for each scientist gender and topic area condition. Assume that any effects (or mean differences) you measure are statistically significant.       Scientist Gender Female Male Topic Area Biology 50 60 Education 50 60  a) State whether the results show main effects and/or an interaction.  b) Significant or not, clearly describe each of these effects and the interaction in Plain English. I am expecting you to interpret the patterns not an omnibus interpretation.

  Self-Esteem (X) Self-Handicapping(Y) XDeviation YDeviation Person 1 6 9 0 1 Person 2 3 7 -3 -1 Person 3 4 6 -2 -2 Person 4 7 10 1 2 Person 5 8 6 2 -2 Person 6 5 6 -1 -2 Person 7 9 12 3 4 Mean 6 8 Is there a correlation between participant’s score on self-esteem and self-handicapping?  Use α = 0.05, one-tailed, and a critical value of 0.669.  a) Calculate the Pearson’s Correlation and show your work. Numerator and work: [CorrNum] Denominator and work: [CorrDem]  Correlation coefficient and work: [CorrCoeff]   b) Make a decision about the null hypothesis: [CorrDecision] Interpret the results of this experiment: [CorrInterpret] Display the statistical results of your correlation in APA format. Make sure you include effect size, if appropriate. [CorrAPAStats]   c) Find the regression equation for predicting someone’s Self-Handicapping score (Y) from their Self-Esteem score. Show your work. SP = 21, SSx = 30, SSy = 34 Mx = 7, My = 9 *Note: these values are NOT the same values as the table you calculated above. beta and work: [beta] y-intercept and work: [y-intercept]   d) Does the regression equation you created in part c account for a significant portion of the variance in Self-Handicapping? Use α = 0.05, and critical value of 6.61 to evaluate the F-ratio. SStotal = 34.06, SSresidual = 21.12 n = 7 Mx = 7, My = 9 F-ratio numerator and work: [RegNum] F-ratio denominator and work: [RegDem] Plain English interpretation: [RegInterpret] Display the statistical results of your regression in APA format. You do not need to include effect size. [RegAPAStats]