Question Set 1: World Campus Full-Time Enrollment In this question set you will be using StatKey to conduct a randomization test for a single proportion. For all parts, use the following research question: Are less than half of all Penn State World Campus students enrolled full-time? In a sample of 30 students 12 are enrolled full-time. A. Use the five-step hypothesis testing procedure below to address the scenario given above. Be sure to include all relevant StatKey output. [30 points] Step 1: Determine what type of test you need to conduct and write the hypotheses. Step 2: Construct a randomization distribution under the assumption that the null hypothesis is true. Take at least 5000 resamples. Step 3: Use the randomization distribution to find the p-value. Step 4: Decide if you should reject or fail to reject the null hypothesis. Step 5: State a real-world conclusion in relation to the original research question.

step-by-step explanation:

t hope this

:

1 ?

step-by-step explanation:

u said 1+1+1+1+1+1+1+1+1+1+1+1*0 so ur adding 1 but then multiplying by 0 so its 0 but then u said 1*0+1 so now ur adding 1 so the answer is juan ?

~leah

a) 40 more; b) old factory:   10%, new factory:   16%; c) week 4

explanation:

a) at week 0, we see in the graph that the new factory produces 190 specialty items.  

using the function, substituting 0 in for w,

this is a difference of 230-190 = 40.

b) the function for the old factory is written in the form f(x) = a(1+r)ˣ, where a is the original amount, x is the amount of time and r is the growth rate.   the equation for the old factory is ; 230 is in place of a and is the original amount; w is the amount of time; which means 1+r = 1.1.   this means that r must be 0.1 or 10%.

for the new factory, we find the percent of increase to find the growth rate; the formula for this is

between the first two points, the amount of change is 220-190 = 30; this gives us

30/190 = 0.158 ≈ 0.16 = 16%

c) at week 0, the old factory has 230 while the new factory has 190.

at week 1, the old factory has 230(1.1) = 253 while the new factory has 220.

at week 2, the old factory has 230(1.1²) = 278.3 while the new factory has 252.

at week 3, the old factory has 230(1.1³) = 306.13 while the new factory has 290.

at week 4, the old factory has 230(1.1⁴) = 336.743 while the new factory has 337.   this is the first week that the new factory surpasses the old.