Schematics
of
Stunting
Research Question:
How can Newtons first and second Laws, along with weight distribution, affect a participants
capabilities in cheerleading?
Samantha Alvarado
Candidate Number:
1) 2. The formula for a regression equation is Y = 2X + 9.
a. What would be the predicted score for a person scoring 6 on X?
Y' = 2*6+9 = 21
b. If someones predicted score was 14, what was this person
STAT 200 Quiz 3
1.
A researcher believed that there was a difference in the amount of time boys and girls at
7th grade studied by using a two-tailed t test. Which of the following is the null
hypothes
1) 8. Assume the speed of vehicles along a stretch of I-10 has an approximately normal
distribution with a mean of 71 mph and a standard deviation of 8 mph.
a. The current speed limit is 65 mph. What
1. For the data from the 1977 Stat. and Biom. 200 class for eye color, construct:
a. pie graph
b. horizontal bar graph
c. vertical bar graph
d. a frequency table with the relative frequency of each ey
1) 4. Why is a 99% condence interval wider than a 95% condence interval?
It would be wider because the chances of being wrong would be lower.
2)12. A person claims to be able to predict the outcome of
Chapter 1 Lane
1. If you are told only that you scored in the 80th percentile, do you know from that
description exactly how it was calculated? Explain.
From my understanding scoring in the 80th perce
2. The formula for a regression equation is Y = 2X + 9.
a. What would be the predicted score for a person scoring 6 on X?
Y' = 2*6+9 = 21
b. If someones predicted score was 14, what was this persons s
STAT 200 Quiz 3
1.
A researcher believed that there was a difference in the amount of time boys and girls at
7th grade studied by using a two-tailed t test. Which of the following is the null
hypothes
STAT 200 Quiz 2
1. The singular form of the word dice is die. Tom was throwing a six-sided die. The
first time he threw, he got a three; the second time he threw, he got a three again. Whats
the proba
1) You choose an alpha level of .01 and then analyze your data.
a. What is the probability that you will make a Type I error given that the null
hypothesis is true?
.01, 1%
b. What is the probability