# Statistics

I've made an attempt to solve these using my TI-84 plus, however I don't know if my approach is correct. Any help is appreciated.

1.) As the costs of prescription drugs escalate, many senior citizens are ordering from or going to Canada to get their medicine. Is there a good reason to go to Canada to buy these drugs? Here are mean prices from stores in the USA & Canada:

USA: \$ 290 412 117 139 571 276 484 161 235

Canada: : \$ 179 211 72 125 396 171 196 67 156

I think that the two lists are dependent. I put USA in L1 and Canada into L2. Then L2-L1 -> L3
I then ran a T-Test. I think I'm supposed to compared alpha (0.05) to the p-value?

2.) A report by the NCAA states that 57.6 % of football injuries occur during practices. One head trainer claims this number is too high for his conference. In his study, he randomly selects 63 injury cases, fining that 30 occurred during practices. Is his claim correct at a 0.05 level of significance?

I think I have to do a 1-Prop Z Test for this.
I established that H0: p1 = .576 and H1: p1 < .576
I'm not too sure where to go from here.

3.) An anti-smoking group tests 13 random brands of cigarettes to see if there is a relationship between measures of CO (x) and tar (y). If the relationship is considered relevant, estimate the tar measure when the CO measure = 12.

x: 15 17 6 1 8 10 17 11 18 16 10 15 7

y: 1.2 1 .8 .1 .8 1 .7 1.4 1 .8 1.2 .5

I put x into L1 and y into L2. Then I ran the LinReg (a+bx) test. To find a, b, and r.
Since r is close to 1, there is a strong correlation, so the relationship is considered relevant?

1. ๐ 0
2. ๐ 0
3. ๐ 14

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