CHAPTER 9: NORMAL DISTRIBUTION AND SAMPLING DISTRIBUTIONS 9.2 The Normal Distribution Most important probability distribution in statistics A sample statistic's distribution will look like the normal distribution as n (n=number of observations in eac
One-sample hyp BRING-to-CLASS problem
CEO's of medium and large companies do not all follow the same path to the
top of their company. They have a variety of educational backgrounds. In spite
of that variety, CEO's who are attorneys are somewhat unusual.
Binomial Distributions
For each problem, write the mathematical expression, P(x). You may want to paste your MegaStat output below
so you can see it as you work.
1. A backyard farmer (gardener) is trying to plan his tomato garden for the following spring.
CHAPTER 12 STATISTICAL INFERENCE: OTHER ONE-SAMPLE TEST STATISTICS 12.1 Introduction to Other One-Sample Test Statistics What we're doing in this chapter: applying the 5 step null hypothesis testing format (from chapter 10) and the confidence-interv
CHAPTER 14 STATISTICAL INFERENCE: OTHER TWO-SAMPLE TEST STATISTICS 14.1 Introduction Learning about the F statistic and F sampling distribution that are used to test hypotheses about 2 variances and how to use a z statistic to test hypotheses about
CHAPTER 6: REGRESSION Higher correlations between the independent and dependent variables lead to better predictions For r=-1 or +1, the dependent variable, Y, can be predicted with perfect accuracy from the independent variable, X. For r=0, knowledg
CHAPTER 5: CORRELATION 5.1 Introduction to Correlation Correlation and regression are procedures for examining the relationship between two variables; interested in predicting a score for one variable from a score for the other variable or knowing th
CHAPTER 14 STATISTICAL INFERENCE: OTHER TWO-SAMPLE TEST STATISTICS 14.1 Introduction Learning about the F statistic and F sampling distribution that are used to test hypotheses about 2 variances and how to use a z statistic to test hypotheses about
Ch. 10-Statistical Inference & Scientific Hypothesis(258) Statistical Hypothesis(260)Statistical Test(262) Hypothesis Testing(264)Steps-(1)state the null and alt. hyp.(2)specify the test statistic&why(3)specify the sample size&the sampling distributi
CHAPTER 13 – STATISTICAL INFERENCE: TWO SAMPLES
13.1 Introduction to Hypothesis Tests for 2 Samples
Examples at the beginning of the chapter involve a comparison of 2 population
distributions (example: are men able to withstand weightlessness better than
CHAPTER 8: RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS 8.2 Random Sampling Inferential statistics are used in determining characteristics of a population by observing a sample from the population Random sampling the method of drawing samples from
CHAPTER 7: PROBABILITY 7.1 Introduction 3 views of probability 1. Subjective-personalistic view 2. Classical or logical view 3. Empirical relative-frequency view Probability theory provides a set of tools for dealing with situations involving uncerta
CH. 5-Regression(124)-defined ind. var.,dep. var. free to vary, predict Y from X.Correlation(125)-have paired X and Y scores and want to see if variables are related and how strong the association is, no obvious IV, no preselected values of X or Y so
CHAPTER 10: STATISTICAL INFERENCE: ONE-SAMPLE HYPOTHESIS TEST 10.1: Introduction to Hypothesis Testing Using statistical inference Covering classical statistical inference which is from Ronald A. Fisher, Jerzy Neyman, and Egon Pearson 2 topics: 1. Nu
Whitney Williams PSY 2402 4 Exam 1 Chapter 1-Statistics(3)-comes from the Latin status, which is also the root for our modern term state or political unit; 1)data;2)functions of data, such as the mean and range;3)techniques for collecting, analyzin
CHAPTER 11: STATISTICAL INFERENCE: ONE-SAMPLE CONFIDENCE INTERVAL 11.1 Introduction We need to find confidence intervals to estimate the population mean since the sample mean can vary from sample to sample Not used as much as null hypothesis testing
Print this page and bring your homework to class.
1. Using the Jack Bauer data on the kill sheet (next tab), create a random sample of 12 kills
(You will need to use the random number generator in the Data Analysis toolpak.)
Use a random seed of 171 and p