please complete the word file using the pdf file attached.the photo attached is the answer of the first couple quesitons but please still have those done in the word file. (please be careful that question 1 the answer in the picture, the order is actually wrong. professor went from the left to bottom then right to the buttom instead of following the 1. 2. 3. 4. on the paper. and just so you know the first number he started from the 56202 in the pdf file from line 114 , the third number from the right )let me know of you have any quesitons, thanks.

Weight IAT Questions & Variable DescriptionsFor the population of Weight IAT participants, is birth gender related to the participants' preference for fat or thin people?For the population of Weight IAT participants, is birth gender related to the participants' perception of whether most people prefer fat or thin people?For the population of Weight IAT participants, is birth gender related to the participants' reported body image?For the population of Weight IAT participants, is birth gender related to the participants' reported importance of weight to sense of self?Not interested in any of the above questions? Write your own question to investigate the relationship between two categorical variables in your unique random sample. If you write your own question, enter it as your response to question 1) in the Prompt section below. Weight IAT variable descriptions (opens in a new tab). PromptWork through each of the following items to determine whether the categorical variables in your chosen question are related.Which question are you investigating? Copy and paste the question into your response.What is the explanatory variable, and what is the response variable?State your hypotheses in context (the variables should be clear in each hypothesis).Use StatCrunch to find the observed counts, row percentages, and expected counts. Select the explanatory variable as the row variable and the response variable as the column variable. (directions - opens in a new tab).Copy and paste the contents of the StatCrunch output window into your response (copy everything – even the chi-square table).Complete the following tasks to make your table more meaningful to the reader.Provide a descriptive title above your table. Replace each numeric row label with the appropriate descriptive word(s).Replace each numeric column label with the appropriate descriptive word(s).Add any other information that will make the table more meaningful to the reader.Interpret the expected counts for each response in the 3rd column of your table. No need to show how the expected counts were calculated, but each interpretation should include a relevant percentage.Determine whether conditions are met to use the chi-square test of independence. For each condition explain why the condition is met or not met.Chi-square test of independence:If conditions are met, use the StatCrunch chi-square output (included with your contingency table above) to state your conclusion in context.If conditions are not met, select a different question where conditions are met. Repeat all steps above, but do not delete your original work. Instead, include your new responses under your previous responses.If conditions are not met for every question listed above with your IAT data set, contact me.

Find a dataset and create a statistical question.Example: (choose one)1) ANOVA analysis – Notice that you are comparing the averages of two different categories like ”Is there a statistically significant difference between the salaries of Women versus Men for the same job type?” 2) Regression Analysis – Notice you are comparing two different sets of numbers to see if one is the predictor of the other like "Is calcium intake in mg/day a significant predictor of students SAT scores?”Submit a Word and an Excel. Details show below.