You conduct a one-way ANOVA with 12 groups (or populations). At 0.05 significance level, you find at least one population (or group) mean is different (or statistically significant). Next,you are interested in finding which population (or group) means are different.   how many multiple two sample t tests could be conducted for this problem?  (Provide a whole number)     what is the adjusted significance level for those multiple two sample t test?  (Provide a value between 0 and 1 rounded to 3 decimal places)

The table below summarizes data from a survey of a sample of women. Using a 0.01 significance level, and assuming that the sample sizes of 800 men and 300 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women? Gender of Interviewer Man Woman Women who agree Women who disagree 556 250 244 50 Click here to view the chi-square distribution table. Identify the null and alternative hypotheses. Choose the correct answer below. Ho: The proportions of agree/disagree responses are the same for the subjects interviewed by men and the subjects interviewed by women. : The proportions are different. Hi: O B. Ho: The proportions of agree/disagree responses are different for the subjects interviewed by men and the subjects interviewed by women. H1: : The proportions are the same. Ho: The response of the…

You are testing a claim about a population mean of 24. Find the test statistic given the following sample results:mean:22sample size:65standard deviation:10Round to the fourth.

Choose the correct statistical test to use: 1. You investigated the effect of vitamin D on melanoma in males and females. After exposing the subjects to two concentrations of vitamin D or a placebo for two years, you determined how many males and females were diagnosed with melanoma. 2. You follow your vitamin D/melanoma study with an investigation into the number of sites per person the females developed. You compared the highest vitamin D concentration to the placebo. 3. Studies show that women can pole vault higher when wearing Nike running shoes than when wearing Adidas running shoes. You are an Adidas marketing agent and want to disprove this claim. You measured the height that 50 women wearing Nike shoes could vault and compared it to the height that 43 women wearing Adidas shoes could vault. 4. I have noticed that the research students in my lab prefer using the Eppendorf brand of micropipettes over the VWR brand. I need to purchase more pipettes so I want to make sure this is…