I need help with a-d

Suppose a study is being planned that will investigate whether female Beagles with severe periodontitis (gum and mouth disease) give birth to smaller litters of puppies, on average, than Beagles without periodontitis. Based on previous research, the standard deviation of litter size is estimated to be 2.7 puppies. Suppose we suspect that Beagles with periodontitis will give birth to on average 6 puppies whereas Beagles without periodontitis will give birth to on average 5 puppies. a. Using the assumed values above, calculate Cohen's d. b. This value (Cohen's d) can be thought of as... (select all that apply) 0 The assumed difference between mean litter sizes for Beagles with and without periodontitis, in terms of number of standard deviations O The assumed difference in standard deviations of litter size for Beagles with and without periodontitis, in terms of the means. 0 The probability we will fail to reject the null hypothesis. O The probability we will reject the null hypothesis. 0 The effect size 0 The standard error of the effect size c. Let's assume that population effect size is Cohen's d = 0.5 (in practice the population effect size is unknown, so we use a value for an effect size we'd be interested in discovering). For each value of desired power, find the total sample size (i.e. the sample size for both groups combined) required to detect this effect. Use the "Sample Size and Power" tool in JMP, found under the DOE/ Design Diagnostics menu. If you have trouble, take a look at the class example on power. i. For power = 0.55, required n = ii. For power = 0.8, required n = [j iii. For power = 0.99, required n = [:] d. Now let's see what happens to these calculations if we assume the effect size is a little bit larger. Using d = 0.6, re-do the calculations from part c. above: i. For power = 0.55, required n = ii. For power = 0.8, required n = [:] iii. For power = 0.99, required n = :J