I need help with the following questions:

Research question:

Does a consumer's intention to buy a new product depend significantly on the type of advertising they are exposed to and their gender?

Null Hypothesis: The type of advertisement and the consumer's gender had no discernible influence on their propensity to acquire a new product.

Alternative Hypothesis: The type of advertising and the consumer's gender substantially impact their decision to buy a new product.

1. List the descriptive statistics for the data list any charts
2. what are the ANOVA results
3. Report the descriptive statistics (means and standard deviations)
4. Report the inferential statistics (Two-way anova results)

1. Main effect 1

2. Main effect 2

3. Interaction effect

1. Explain whether or not you rejected the null hypothesis for each of the main effects and the interaction effect and why?

1. Describe the results and what it means about the research question. Was there a difference between the means you looked at and what would that tell you about the primary research question? Interpret the effect size measures. What does the study shows.

Data:

Univariate Analysis of Variance Between-Subjects Factors Value Label N advertising online 15 traditional 15 gender female 15 2 male 15 Descriptive Statistics Dependent Variable: purchasenewproduct advertising gender Mean Std. Deviation N online female 2.73 1.907 15 Total 2.73 1.907 15 traditional male 2.93 2.251 15 Total 2.93 2.251 15 Total female 2.73 1.907 15 male 2.93 2.251 15 Total 2.83 2.052 30Tests of Between-Subjects Effects Dependent Variable: purchasenewproduct Type Ill Sum Partial Eta Source of Squares df Mean Square F Sig. Squared Corrected Model .300 .300 069 .795 002 Intercept 240.833 240.833 55.334 <.001 advertising gender .000 o error total corrected a. r squared=".002" marginal means dependent variable: purchasenewproduct confidence interval mean std. lower bound upper online .539 traditional based on modified population mean. female male mean.3. a this level combination of factors is not observed thus the corresponding estimable. frequencies statistics n valid missing median mode deviation multiple modes exist. smallest value shown>