Monday, March 30, 2009
Ag Awareness
Well hello everyone! This is my speech that I am going to a state competition in a couple weeks and Mr. Quinn talked with me and we thought it would be cool if we created questions about agriculture that the general public should know. Than ask these questions to SBHS students as well as Aromas and other high schools. Does anyone want to help me out? This way I can use my own Statistical data in my speech! If you have any questions just let me know!
Saturday, March 28, 2009
Next Review Session
Stat people: I am thinking that Monday and/or Friday are the only possible times for a review session this week. Please give feedback when you read this.
Monday, March 23, 2009
Tomorrow's Agenda for Tuesday - WORK HARD
· No new homework today, but you had better work hard in class…
· First item is for students to work on Practice Exam – Open Ended Problems (Free Response #4). They can work with each other on this piece. Give them between 20-30 minutes, they will not complete it. They should be writing FULL solutions to the best of their ability on binder paper. Being noisy is OK. This will possibly be reviewed at the session tomorrow-all students are expected to attend.
· Stop them. Check solutions to AP Statistics – Class Activity. This was part of their homework. The solutions are here on a sheet and have been posted on the blog…this better be complete…collect it and tell them that I am going to grade it for credit. This should take 5 minutes at most.
· Pass out ½ sheet with graph on it. Tell that you are going to time them —give them 10 minutes to quietly work. Then have them discuss the problem. DO NOT make changes, just discuss. I want to see how they are doing without adjustments. Collect it. 25 minutes max.
· Finally, a practice multiple choice exam (18 questions). Tell them this is a bit more serious than last week’s. They may write all over this document, just make sure they circle the answers they choose. I am going to score it, NO TALKING. Give them 40-45 minutes. This has to be done, so please adjust time of other activities if you see fit. Collect it. DO NOT SHARE ANSWERS.
· Chapter 26 Homework will be collected and discussed on Thursday.
· All people are expected to attend one review session tomorrow on Wednesday – times are on the board and the web page.
· First item is for students to work on Practice Exam – Open Ended Problems (Free Response #4). They can work with each other on this piece. Give them between 20-30 minutes, they will not complete it. They should be writing FULL solutions to the best of their ability on binder paper. Being noisy is OK. This will possibly be reviewed at the session tomorrow-all students are expected to attend.
· Stop them. Check solutions to AP Statistics – Class Activity. This was part of their homework. The solutions are here on a sheet and have been posted on the blog…this better be complete…collect it and tell them that I am going to grade it for credit. This should take 5 minutes at most.
· Pass out ½ sheet with graph on it. Tell that you are going to time them —give them 10 minutes to quietly work. Then have them discuss the problem. DO NOT make changes, just discuss. I want to see how they are doing without adjustments. Collect it. 25 minutes max.
· Finally, a practice multiple choice exam (18 questions). Tell them this is a bit more serious than last week’s. They may write all over this document, just make sure they circle the answers they choose. I am going to score it, NO TALKING. Give them 40-45 minutes. This has to be done, so please adjust time of other activities if you see fit. Collect it. DO NOT SHARE ANSWERS.
· Chapter 26 Homework will be collected and discussed on Thursday.
· All people are expected to attend one review session tomorrow on Wednesday – times are on the board and the web page.
Sunday, March 22, 2009
Solution to Regession Homework
1. Linear increase in # graduated in the years from 1950 to 1972. Then we have a linear decrease from 1976 to 1989. Then we finish with another linear increase from 1989 to 2000. This a cyclic looking scatterplot.
2. Only going to use data from the years 1950 to 1972 to generate the equation (note: coded years as 1950 = 50): grad-hat=-592.16+15.52year. Using this equation we predict for 1969 a graduating class of 478.72.
3. Only going to use datat from 1989 to 2000 to generate the equation: grad-hat = -362.19 +8.16year. Using this equation, we predict for 2005 a graduating class of 484.61. We are hesitent to use this equation becuase 2005 is out of the range of the inputs (x's) were are using. Extrapolation is risky in regression, because we are predicting into the future.
2. Only going to use data from the years 1950 to 1972 to generate the equation (note: coded years as 1950 = 50): grad-hat=-592.16+15.52year. Using this equation we predict for 1969 a graduating class of 478.72.
3. Only going to use datat from 1989 to 2000 to generate the equation: grad-hat = -362.19 +8.16year. Using this equation, we predict for 2005 a graduating class of 484.61. We are hesitent to use this equation becuase 2005 is out of the range of the inputs (x's) were are using. Extrapolation is risky in regression, because we are predicting into the future.
Friday, March 13, 2009
Wednesday, March 11, 2009
Good Luck
Good luck to all of you for this test. This might be just a little late but I want us to do our best.
Practice Test Solutions
This is not going to work too well as I have to type them....
#11.) a.) Because n is large (over 30), skew should not be a problem. CLT is in effect here.
b.) t df=49 (235700, 3606.2)
c.) No, not unusally high as $235,700 is in the inteval
d.) keep t* = 1.676, solve for n...get n=457
#12.) t is questionable here because M2 is not normalish....anyway if we continue: a p-value of .0041 is strong evidence against the two data sets being equal. It appears the adjustments have improved the gas mileage.
#13.) a: 1 z -
b: 3 t 23
c: 2 z -
d. 5 t 14
e. 5 t 9
f. 4 t 19 (or 33.1 from technology)
#14.) a. Ho: u = 10
Ha: u > 10
b. I thought type II as this would mean that we are missing a chance to become more effecient.
c. To increase the power we can increase alpha or increase n. If we increase alpha, we run a higher risk of a tpye I error. If we increse n, it is more expensive and takes more time.
#15.) West data is skewed...we should not do a t-test. The other conditions and assumptions are OK I believe.
#11.) a.) Because n is large (over 30), skew should not be a problem. CLT is in effect here.
b.) t df=49 (235700, 3606.2)
c.) No, not unusally high as $235,700 is in the inteval
d.) keep t* = 1.676, solve for n...get n=457
#12.) t is questionable here because M2 is not normalish....anyway if we continue: a p-value of .0041 is strong evidence against the two data sets being equal. It appears the adjustments have improved the gas mileage.
#13.) a: 1 z -
b: 3 t 23
c: 2 z -
d. 5 t 14
e. 5 t 9
f. 4 t 19 (or 33.1 from technology)
#14.) a. Ho: u = 10
Ha: u > 10
b. I thought type II as this would mean that we are missing a chance to become more effecient.
c. To increase the power we can increase alpha or increase n. If we increase alpha, we run a higher risk of a tpye I error. If we increse n, it is more expensive and takes more time.
#15.) West data is skewed...we should not do a t-test. The other conditions and assumptions are OK I believe.
Monday, March 9, 2009
Wednesday, March 4, 2009
Chapter 23 Quiz
You guys are OK, maybe even awesome...we did quite well on the quiz today. See you soon.
Subscribe to:
Comments (Atom)