The bowl of rice problem Suppose we take a random sample of rice from a bowl (blind folded):

Slides:

Advertisements

Similar presentations

Finding Complex Roots of Quadratics

Advertisements

Significance Testing.  A statistical method that uses sample data to evaluate a hypothesis about a population  1. State a hypothesis  2. Use the hypothesis.

Econ 338/envr 305 clicker questions

For a Normal probability distribution, let x be a random variable with a normal distribution whose mean is µ and whose standard deviation is σ. Let be.

Use of moment generating functions. Definition Let X denote a random variable with probability density function f(x) if continuous (probability mass function.

AP Statistics Section 9.2 Sample Proportions

Solving Quadratic Equations using Factoring.  has the form: ax 2 + bx + c = 0 If necessary, we will need to rearrange into this form before we solve!

Chapter 6 Hypotheses texts. Central Limit Theorem Hypotheses and statistics are dependent upon this theorem.

Multiple Regression Research Methods and Statistics.

Chapter 11: Random Sampling and Sampling Distributions

Linear, Exponential, and Quadratic Functions. Write an equation for the following sequences.

EXAMPLE 2 Identify a potentially biased sample

What Is the Probability? The chance that something will happen is called probability. For example, if you toss a penny, what is the probability that it.

Dennis Shasha From a book co-written with Manda Wilson

Simple Random Sampling

6.5 – Solving Equations with Quadratic Techniques.

Example 9.1 Gasoline Prices in the United States Sampling Distributions.

23.2: Hardy- Weinberg Equation can be used to Test Whether a Population is Evolving Ben Lee.

Collecting Data Chapter 1 Lesson 6. Think about it… Is there anything you would like to ask the rest of the eighth-graders at Indian Crest in a survey?

CLUSTER SAMPLING a survey of selected groups within a population the entire population is divided into groups (clusters), and a random sample of these.

1st meeting: Multilevel modeling: introduction Subjects for today:  Basic statistics (testing)  The difference between regression analysis and multilevel.

In this chapter we introduce the ideas of confidence intervals and look at how to construct one for a single population proportion.

Graphing Exponentials and Logs

Quadratics Solving equations Using “Completing the Square”

Surveys--Sampling Aug 29. Samples and populations Need for sampling Goal: representative sample Methods of sampling – Quota Sampling – Volunteer samples.

Simple Linear Regression. The term linear regression implies that  Y|x is linearly related to x by the population regression equation  Y|x =  +  x.

July, 2000Guang Jin Statistics in Applied Science and Technology Chapter 7 - Sampling Distribution of Means.

Chapter 7: Introduction to Sampling Distributions Section 2: The Central Limit Theorem.

5-2 Direct Variation A direct variation is a relationship that can be represented by a function in the form y = kx, where k ≠ 0. The constant of variation.

2nd meeting: Multilevel modeling: intra class correlation Subjects for today:  Multilevel data base construction  The difference between single level.

Population size * Population size doesn’t matter as long as…

Example Suppose we want to prove that the mean commute time for people in Lexington to get to work is less than 20 minutes. A random sample of 125 people.

Homework Questions!.

Graphing Systems of Equations Section Topic Focus I can…  Graph a system of equations  Determine the solution to a system of equations given.

Systematic Sampling Lecture 9 – Part 1 Sections 2.8 Wed, Jan 30, 2008.

Unit 7 Sampling Distributions 7.2 The Sampling Distribution of the Sample Proportion.

§2.The hypothesis testing of one normal population.

SAMPLING. Voluntary Response Individuals choose to join the sample in response to an open invitation.

In an analysis investigation the usefulness of pennies, the cents portions of 100 randomly selected credit card charges are recorded. The sample.

The Color Bowl - Sampling. First, mix the bowl – randomize the positions of the marbles in the bowl. The idea is to give, on each draw, each marble in.

Populations and Samples. Warm Up

Stat 100 Mar. 27. Work to Do Read Ch. 3 and Ch. 4.

Let’s go bowling! How many pins have been knocked down? How many pins are still standing?

7.2 Sample Proportions Objectives SWBAT: FIND the mean and standard deviation of the sampling distribution of a sample proportion. CHECK the 10% condition.

Wednesday, April 27, 2016 *Make sure you have your pencil and math journal out. *If you have questions on your homework, please keep it on your desk. *Talk.

C: Expectation D: The Binomial Distribution 23CD.

Sum and Product of Roots

Exponential Growth vs. Exponential Decay

Developing the Sampling Plan

الأستاذ المساعد بقسم المناهج وطرق التدريس

Logical assertions assertion: A statement that is either true or false. Examples: Java was created in The sky is purple. 23 is a prime number. 10.

Equation Review Given in class 10/4/13.

Causes of Variation Complete the equation:

Unit 7. Day 4..

Unit 10 Statistics Part 1.

Equation Review.

C.2.10 Sample Questions.

MGSE7.SP.3/MGSE7.SP.4: I can use measure of center and measures of variability for numerical data from random samples to draw informal comparative inferences.

PERCENT INCREASE DECREASE

C.2.8 Sample Questions.

Combining Random Variables

I can use measure of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations.

I can determine the different sampling techniques used in real life.

Homework Due Friday- Study Island-Maintenance Sheet 25

C.2.8 Sample Questions.

Section 2.3 Direct Variation.

Representative sampling By Majed Muati. Sampling Methods Representative Samples. Random Sampling. Systematic Sampling.

Inferences 10-3.

Presentation transcript:

The bowl of rice problem Suppose we take a random sample of rice from a bowl (blind folded):

Now we like to know what determines the amount of callories: Equation would be something like: Rice callory = a + b1 * size + e1 or if you like to test whether rice from Bandung and Java differs from Serang use Rice callory = a + b1 * size rice + b2 * Java + b3 * Bandung + e1

The bowl of rice problem Suppose we take a random sample of rice from many bowls (blind folded):

Equation still would be something like: Rice callory = a + b1 * size rice + e1 or if you like to test whether rice from Bandung and Java differs from Serang use: Rice callory = a + b1 * size rice + b2 * Java + b3 * bandung + bx * districtx + e1 BUT if this is the case:

Equation could be something like: Rice callory = a + b1 * size rice + b2 * Java + b3 * bandung + bx * districtx + e1 But then you’ve forgotten that the districts come from random sampling out of a large population of bowls of rice! If you intend to say something about ALL bowls of rice in a population use MULTILEVEL ANALYSIS.