Solutions to problems from Ch. 7 and 8 are posted here .
Reveiw:
1.1 variable, population, sample
1.2 quantitative, qualitative, discrete, continuous
1.3 frequence, relative frequence, percentage, pie chart, bar chart
1.4 dot plot, stem and leaf plot
1.5 relative frequency histogram, left inclusion
2.2 average, mean, median
2.3 variablility, range, deviation, variance, standard deviation
2.4 Tchebysheff's theorem (for 3/4 and 8/9 of measurements), empirical rule, normal distribution
2.6 z-score, p-th percentile, quartiles
2.7 box plot
3.3 scatterplot
3.4 linear regression, correlation coefficient, covariance
4.2 simple event, sample space
4.3 probability
4.5 union, intersection, compliment, additive rule, mutually exclusive, rule of compliments
4.6 conditional probability, independent, multiplicative rule (for intersection)
4.8 expected value, variance, standard deviation, probability distribution
5.2 binomial probability distribution, its mean, st.deviation, table 1
5.3 Poisson probability distribution, table 2
6.2 normal probability distribution
6.3 z-value (normalized), usage of table 3
7.3 statistic, sampling distribution
7.4 central limit theorem (p.245)
7.5 sampling distribution of the sample mean, standard error
7.6 sampling distribution of the sample proportion, standard error
8.4 biased/unbiased estimators, point estimators, margin of error
8.5 interval estimation, confidence coefficient (values of z(a/2))
8.6 formule for estimating the difference of two population means
9.2 null hypothesis, alternative hypothesis, one-tailed and two-tailed tests, test statistic, p-value, regection
region, acceptance region
9.3 test for population mean ("alpha" - approach and p-value approach p.329 and example 9.7, fig. 9.6), Type I
error
9.4 formula in item (3) p.338
9.5 formula in item (3) p.344
Final Exam dates:
Section 5 (meeting at 1 p.m. MWF) - Tuesday, May 3rd, 1:00-2:50 p.m.
Section 6 (meeting at 2 p.m. MWF) - Monday, May 2nd, 3:00-4:50 p.m.