Student (Section
A)
A
B
C
D
E
F
Score
Student (Section
B)
G
H
I
J
K
L
M
Score
80
60
70
90
70
100
88
50
75
80
75
100
99
1. What are the mean and standard deviation of the scores in Section A?
Mean: 470/6=78.33
Standard Deviation: (60-78.33)^2+(70-78.33)^2+
CHAPTER 8: CONFIDENCE INTERVALS
Exercise 1.
The standard deviation of the weights of elephants is known to be
approximately 15 pounds. We wish to construct a 95% confidence
interval for the mean weight of newborn elephant calves. Fifty
newborn elephants a
CHAPTER 10: HYPOTHESIS TESTING WITH
TWO SAMPLES
Exercise 1.
Indicate if the hypothesis test is for
a. independent group means, population standard deviations, and/or variances
known
b. independent group means, population standard deviations, and/or varian
CHAPTER 11: FACTS ABOUT THE CHISQUARE DISTRIBUTION
Exercise 1.
If the number of degrees of freedom for a chi-square distribution is 25, what is the
population mean and standard deviation?
Solution
mean = 25 and standard deviation = 7.0711
Exercise 2.
If d
CHAPTER 12: LINEAR REGRESSION AND
CORRELATION
Exercise 1.
A vacation resort rents SCUBA equipment to certified divers. The resort charges an
up-front fee of $25 and another fee of $12.50 an hour.
What are the dependent and independent variables?
Solution
STAT 200 QUIZ 3 Solutions
Section 6380 Fall 2014
The quiz covers Chapters 7 and 8.
1. (4 points)
Distribution for the Critical
Value
Parameter
Requirements
Proportion p
(1) simple random sample
(2) conditions for the binomial distribution are
satisfied
(3
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 is the proportion of vehicles less than or equal to the
sp
Section 2.4
Outliers, Boxplots, and
Quantitative/Categorical
Relationships
Statistics: Unlocking the Power of Data
Lock5
Outline
One quantitative variable (continued)
Formal rule for outliers
Boxplots
One quantitative and one categorical variable
Side-
Section 2.1
Categorical Variables
Statistics: Unlocking the Power of Data
Lock5
Outline
One categorical variable
Summary statistics: frequency table, proportion
Visualization: bar chart, pie chart
Two categorical variables
Summary statistics: two-way t
Section 1.3
Experiments and
Observational Studies
Statistics: Unlocking the Power of Data
Lock5
Outline
Association versus Causation
Confounding Variables
Observational Studies vs Experiments
Randomized Experiments
Statistics: Unlocking the Power of Data
Section 2.6
Two Quantitative Variables:
Linear Regression
Statistics: Unlocking the Power of Data
Lock5
Outline
Regression line
Predicted values
Residuals
Interpreting slope and intercept
Cautions
Statistics: Unlocking the Power of Data
Lock5
Crickets and
Section 1.2
Sampling from a
Population
Statistics: Unlocking the Power of Data
Lock5
Outline
Sample versus Population
Statistical Inference
Sampling Bias
Simple Random Sample
Other Sources of Bias
Statistics: Unlocking the Power of Data
Lock5
Review
W
Section 2.3
One Quantitative
Variable:
Measures of Spread
Statistics: Unlocking the Power of Data
Lock5
Outline
One quantitative variable:
Standard
deviation
z-score
Five-number
Range
summary
and IQR
Percentiles
Statistics: Unlocking the Power of Dat
Section 2.2
One Quantitative
Variable:
Shape and Center
Statistics: Unlocking the Power of Data
Lock5
Outline
One Quantitative Variable
Visualization:
Shape:
dotplot and histogram
symmetric, skewed
Measures
Outliers
of center: mean and median
and resi
Section 2.5
Two Quantitative Variables:
Scatterplot and Correlation
Statistics: Unlocking the Power of Data
Lock5
Outline
Two quantitative variables
Visualization:
Summary
scatterplot
statistic: correlation
Statistics: Unlocking the Power of Data
Lock5
Lets learn how to find the slope, the regression equation and make future
predictions.
Regression Equation
= b0 + b1
response variable or dependent variable
explanatory variable or predictor variable or independent variable
b0 y-intercept
b1 the slope
Chapter 5
Discrete Probability Distributions
This chapter will provide an overview of
probability distributions which give the
probability for values of variables that are
determined by chance.
Definitions
Random Variable
Probability Distribution
A variab
Lets try a simple formula for finding sample size
Sample size needs to be determined to ensure that our results will be
statistically significant.
The formula is
1.96 *
E
So lets try a problem now:
We need to determine the sample size for an upcoming exp
Page 1 of 8
Homework Assignment 3
Stat 200 (Clary)
Instructions: Be sure to record the final answer next to Answer and show all your calculation
steps or assumptions under Work. You can type in your calculations, use the equation tool, or
insert images of
Statistics ANOVA
Background Dataset
Using the data in the table below answer the following questions.
1. Based on output from ANOVA, who is the better bowler? Show the step-by-step calculation of ANOVA.
2. What type of ANOVA test did you conduct? one way?
Week 4
Steve Finch
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 is the proportion of vehicles less than
Quiz 1
I know I dont need to remind anyone that UMUCs academic integrity policies. We are all
adults. We know that we shortchange only ourselves if we arent honest. This quiz needs to be
completed without help from others. The work submitted must be your
Quiz 2
Each question is worth 1 point.
Dont leave anything blank. I can always find a way to give you some credit if youve made an
attempt. Be sure to post any questions you have after the answers open.
The work you turn in by 11:59 P.M. on Dec 4th must b
18. 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?
is the probability of a Type I error given that the null hypothesis is
true.
1%
b. What