Meta-Study. Representation of the Sampling Distribution of Y̅

Slides:



Advertisements
Similar presentations
Shape of Normal Curves. 68%-95%-99.7% Rule Areas under Normal Curve.
Advertisements

Modular 12 Ch 7.2 Part II to 7.3. Ch 7.2 Part II Applications of the Normal Distribution Objective B : Finding the Z-score for a given probability Objective.
Binomial Distributions
5.1 Sampling Distributions for Counts and Proportions (continued)
Sampling distributions. Example Take random sample of students. Ask “how many courses did you study for this past weekend?” Calculate a statistic, say,
Sampling distributions. Example Take random sample of 1 hour periods in an ER. Ask “how many patients arrived in that one hour period ?” Calculate statistic,
DISTRIBUTION OF THE SAMPLE MEAN
Standard Normal Distribution
STAT 104 Section 6 Daniel Moon. Agenda Review Midterm 1 Practice Problems.
Binomial Probability Distributions
Chapter 11: Random Sampling and Sampling Distributions
Clt1 CENTRAL LIMIT THEOREM  specifies a theoretical distribution  formulated by the selection of all possible random samples of a fixed size n  a sample.
Sample Distribution Models for Means and Proportions
Normal and Sampling Distributions A normal distribution is uniquely determined by its mean, , and variance,  2 The random variable Z = (X-  /  is.
From Last week.
Overview 7.2 Central Limit Theorem for Means Objectives: By the end of this section, I will be able to… 1) Describe the sampling distribution of x for.
In this chapter we will consider two very specific random variables where the random event that produces them will be selecting a random sample and analyzing.
Normal Approximation Of The Binomial Distribution:
AP Statistics: Section 8.1B Normal Approx. to a Binomial Dist.
Using Normal Distribution to Approximate a Discrete Distribution.
Ch 6 Introduction to Formal Statistical Inference
Chapter 10 – Sampling Distributions Math 22 Introductory Statistics.
Bernoulli Trials Two Possible Outcomes –Success, with probability p –Failure, with probability q = 1  p Trials are independent.
Sampling Distributions-Chapter The Central Limit Theorem 7.2 Central Limit Theorem with Population Means 7.3 Central Limit Theorem with Population.
Statistics 300: Elementary Statistics Section 6-5.
Chapter 7: Introduction to Sampling Distributions Section 2: The Central Limit Theorem.
Section 6-5 The Central Limit Theorem. THE CENTRAL LIMIT THEOREM Given: 1.The random variable x has a distribution (which may or may not be normal) with.
Estimation Chapter 8. Estimating µ When σ Is Known.
The Sampling Distribution of
Slide Slide 1 Section 6-4 Sampling Distributions and Estimators.
THE NORMAL APPROXIMATION TO THE BINOMIAL. Under certain conditions the Normal distribution can be used as an approximation to the Binomial, thus reducing.
Complemental Probabilities.
Chapter 7 The Normal Probability Distribution 7.3 Applications of the Normal Distribution.
Binomial Distributions Mean and Standard Deviation.
1 7.3 RANDOM VARIABLES When the variables in question are quantitative, they are known as random variables. A random variable, X, is a quantitative variable.
8.1 Estimating µ with large samples Large sample: n > 30 Error of estimate – the magnitude of the difference between the point estimate and the true parameter.
Central Limit Theorem Let X 1, X 2, …, X n be n independent, identically distributed random variables with mean  and standard deviation . For large n:
MATH Section 4.4.
7.2 Sample Proportions Objectives SWBAT: FIND the mean and standard deviation of the sampling distribution of a sample proportion. CHECK the 10% condition.
Final Review.  On the Saturday after Christmas, it has been estimated that about 14.3% of all mall-goers are there to return or exchange holiday gifts.
Ch5.4 Central Limit Theorem
Central Limit Theorem Sample Proportions.
CHAPTER 9 Sampling Distributions
Sec. 7-5: Central Limit Theorem
Binomial Fixed number trials Independent trials Only two outcomes
Warm Up A recent study found that 79% of U.S. teens from years old use Snapchat. Suppose samples of 100 U.S. teens from years old are taken.
CHAPTER 7 Sampling Distributions
Estimating
AP Statistics: Chapter 7
Sampling Distribution of the Sample Mean
Distribution of the Sample Proportion
MATH 2311 Section 4.4.
Lecture Slides Elementary Statistics Twelfth Edition
7.5 The Normal Curve Approximation to the Binomial Distribution
CHAPTER 7 Sampling Distributions
Warm Up A recent study found that 79% of U.S. teens from years old use Snapchat. Suppose samples of 100 U.S. teens from years old are taken.
The Practice of Statistics
CHAPTER 7 Sampling Distributions
Two Sample Problem Sometimes we will be interested in comparing means in two independent populations (e.g. mean income for male and females). We consider.
CHAPTER 7 Sampling Distributions
If the question asks: “Find the probability if...”
CHAPTER 7 Sampling Distributions
CHAPTER 7 Sampling Distributions
CHAPTER 7 Sampling Distributions
CHAPTER 7 Sampling Distributions
Introduction to Sampling Distributions
Warmup Which of the distributions is an unbiased estimator?
Probability Question About an “individual” About a “statistic”
How Confident Are You?.
MATH 2311 Section 4.4.
Presentation transcript:

Meta-Study

Representation of the Sampling Distribution of Y̅

The Sampling Distribution of

Example: Sampling Distribution In a certain population of fish, the lengths of individual fish follow a normal distribution with mean 54 mm and standard deviation 4.5 mm a) What is the probability that a random chosen fish is between 51 and 60 mm long? b) Suppose we sample 4 fish, what is the probability that the mean length of the four fish is between 51 and 60 mm long?

(b) Example 5.2.3: Sampling Distribution/Population Size This shows the sampling distribution for the samples of various sizes from a princess bean population (Example 5.2.2). Here the population mean is μ = 500 mg.

Example: CLT

Example: Normal Approximation to the Binomial Distribution

Example: Continuity Correction This table shows the distribution of litter size for a population of female mice with population mean 7.8 and SD 2.3.

Example: Continuity Correction(cont) Table 4.1 shows the distribution of litter size for a population of female mice with population mean 7.8 and SD 2.3.

Histograms of Binomial Distributions