Chapters and Section on Final Exam and Software to be used.
Chapter 2
Section 3
Descriptive Statistics
Measures of Central Tendency
Population mean μ, sample mean x , Median, Mode
Excel, built in functions average, stdev, mode, median
HW Page 74
Section 4
Measures of Variation
Range, Population Standard Deviation σ, sample standard deviation s
Empirical Rule (68%-95%-99.7%)
Excel, built in functions stdev, var or Data, Data Analysis, Descriptive Statistics
HW Page 90
Section 5
Measure of Position
5 number summary MIN, Q1 , Q2 , Q3 , Max
Excel, PHstat, Descriptive Statistics, Box-and-whisker Plot
HW Page 107
Chapter 5
Section 1,2,3
Normal Probability Distributions
Introduction, Finding Probabilities, Finding values
Be able to use the standard normal table to find probability and be able to find x given the probability.
Excel, PHstat, Probability Distribution, Normal Probability
HW Page 244 HW Page252 HW Page 262
Section 4
Sampling Distributions and Central Limit Theorem
z=
x-

n
Same software; Excel, PHstat, Probability Distribution, Normal Probability, but use
st. dev. of 𝑥̅ 𝑤ℎ𝑖𝑐ℎ 𝑖𝑠
HW Page 274
𝜎
.
√𝑛
This is used for the rest of the course!
Chapter 6
Section 1
Confidence Intervals.
Confidence intervals for means (large sample size n ≥ 30) Z distribution
Excel, PHstat, confidence intervals, means, sigma known or may use s.
and Estimate sample size Excel, PHstat, sample size, mean
HW Page 311
Section 2
Confidence intervals for means (small sample size n < 30) t distribution
Excel, PHstat, confidence intervals, means, sigma unknown.
HW Page 323
Section 3
̂ sample proportion, Z distribution
Confidence intervals for proportions, p Population proportion, 𝑝
Excel, PHstat, confidence intervals, proportions
Estimate sample size, Excel, PHstat, sample size, proportion
HW Page 332
Section 4
Confidence intervals for variance and standard deviations Chi Square distribution
Excel, PHstat, confidence interval Chi square
HW Page 341
Chapter 7
Section1,2
Hypothesis testing one sample P-value only!
Introduction, hypothesis testing for a mean (Large samples)
Excel, PHstat, one sample test, Z test for means, sigma known or may use s
HW Page 381
Section 3
Hypothesis testing for a mean (small samples)
Excel, PHstat, one sample test, t test for means, sigma unknown so use s.
HW Page 393
Section 4
Hypothesis testing for a proportion
Excel, PHstat, one sample test, Z test for proportion
HW Page 401
Section 5
Hypothesis testing for a variance
Excel, PHstat, one sample test, chi-square test for variance
HW Page 410
Chapter 8
Section 1
Hypothesis testing with two samples. P-value only!
Testing difference of two means (large independent samples)
Excel, PHstat, two sample test, Z test for differences in two means
HW Page 434
Section 2
Testing difference of two means (small independent samples)
Excel, PHstat, two sample test, t test for differences in two means
HW Page 446
Section 3
Testing difference of two means (small dependent samples). Test is on the difference of the pairs of data.
Excel, PHstat, one sample test, t test for mean, sigma unknown so use s
HW Page 456
Section 4
Testing for the difference between two proportions
Excel, PHstat, two sample test, Z test for differences in two proportions
HW Page 465