Homework Questions.

Slides:



Advertisements
Similar presentations
Estimating a Population Variance
Advertisements

Horng-Chyi HorngStatistics II_Five43 Inference on the Variances of Two Normal Population &5-5 (&9-5)
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 8 Estimating with Confidence 8.3 Estimating.
CHAPTER 8 Estimating with Confidence
1 Confidence Intervals for Means. 2 When the sample size n< 30 case1-1. the underlying distribution is normal with known variance case1-2. the underlying.
 We cannot use a two-sample t-test for paired data because paired data come from samples that are not independently chosen. If we know the data are paired,
+ DO NOW What conditions do you need to check before constructing a confidence interval for the population proportion? (hint: there are three)
Estimating a Population Mean
Lesson Confidence Intervals about a Population Standard Deviation.
10.1: Confidence Intervals – The Basics. Review Question!!! If the mean and the standard deviation of a continuous random variable that is normally distributed.
Section 8.3 Estimating a Population Mean. Section 8.3 Estimating a Population Mean After this section, you should be able to… CONSTRUCT and INTERPRET.
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 8: Estimating with Confidence Section 8.3 Estimating a Population Mean.
ESTIMATING APPROPRIATE SAMPLE SIZE. Determining sample Size z* σ √n ≤m.
AP Statistics Section 10.1 C Determining Necessary Sample Size.
Sampling distributions rule of thumb…. Some important points about sample distributions… If we obtain a sample that meets the rules of thumb, then…
QUICK: Review of confidence intervals Inference: provides methods for drawing conclusions about a population from sample data. Confidence Intervals estimate.
1 1 Slide © 2007 Thomson South-Western. All Rights Reserved Chapter 8 Interval Estimation Population Mean:  Known Population Mean:  Known Population.
Confidence Interval for a population mean Section 10.1.
Chapter 8 Estimating with Confidence.  A point estimator is a statistic that provides an estimate of a population parameter. The value of that statistic.
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Unit 5: Estimating with Confidence Section 11.1 Estimating a Population Mean.
Pg. 525 #13: A milk processor monitors the number of bacteria per milliliter in raw milk received at the factory. A random sample of 10 one-milliliter.
+ Unit 5: Estimating with Confidence Section 8.3 Estimating a Population Mean.
+ Chapter 8 Estimating with Confidence 8.1Confidence Intervals: The Basics 8.2Estimating a Population Proportion 8.3Estimating a Population Mean.
SAT Math Scores. Travel Time to Work In repeated sampling, the average distance between the sample means and the population mean will be about
Using t Procedures Wisely Using One-Sample t Procedures: The Normal Condition Sample size less than 15: Sample size at least 15: Large samples: Use t procedures.
South Dakota School of Mines & Technology Estimation Industrial Engineering.
About 42,000 high school students took the AP Statistics exam in 2001
Chapter 8: Estimating with Confidence
CHAPTER 8 Estimating with Confidence
Chapter 8: Estimating with Confidence
Estimating a Population Variance
Chapter 8: Estimating with Confidence
CHAPTER 8 Confidence Estimating with Estimating a Population 8.3 Mean
Test for Mean of a Non-Normal Population – small n
8.3: Confidence Intervals for Means
Chapter 25: Paired Samples and Blocks
CHAPTER 8 Estimating with Confidence
CHAPTER 8 Estimating with Confidence
Warmup To check the accuracy of a scale, a weight is weighed repeatedly. The scale readings are normally distributed with a standard deviation of
Chapter 8: Estimating with Confidence
Section 3: Estimating p in a binomial distribution
Inference for Distributions
CHAPTER 10 Comparing Two Populations or Groups
Estimating with Confidence
Confidence intervals for the difference between two means: Paired samples Section 10.3.
Chapter 8: Estimating with Confidence
Basic Practice of Statistics - 3rd Edition Two-Sample Problems
CHAPTER 8 Estimating with Confidence
CHAPTER 8 Estimating with Confidence
Essential Statistics Two-Sample Problems - Two-sample t procedures -
CHAPTER 8 Estimating with Confidence
Unit 6 - Comparing Two Populations or Groups
Chapter 8: Estimating with Confidence
CHAPTER 8 Estimating with Confidence
Chapter 8: Estimating with Confidence
Chapter 24 Comparing Two Means.
Estimating a Population Mean
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
8.3 Estimating a Population Mean
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
HOMEWORK 27.) A ) A
Inference for Proportions
2/5/ Estimating a Population Mean.
Pg. 637 # ) A.(18.9,25.1) We are 95% confident that the mean gain for all SAT math second-try scores to be between 18.9 and 25.1 points. 90%
Chapter 8: Estimating with Confidence
Working with Two Populations
Chapter 8: Estimating with Confidence
Chapter 8: Estimating with Confidence
Presentation transcript:

Homework Questions

Section 8.3 Estimating a Population Mean

One-Sample Z Interval for a Population Mean 𝑥 ± 𝑧 ∗ 𝜎 𝑛 As long as the Random, Normal, and Independent conditions are met…This is your confidence interval! We use this when we know 𝜎

Choosing a Sample Size Now that we know 𝜎… 𝑧 ∗ 𝜎 𝑛 ≤𝑀𝐸 𝑧 ∗ 𝜎 𝑛 ≤𝑀𝐸 Ex: Obtaining monkeys is time-consuming and expensive, so researchers want to know the minimum number of monkeys needed to generate a satisfactory estimate of cholesterol levels for a study. They want their estimate to be within 1 mg/dl of the true value of 𝜇 at a 95% confidence interval.

When 𝜎 is unknown…T distributions

When 𝜎 is unknown…T distributions 𝑡= 𝑥 −𝜇 𝑠 𝑥 𝑛 𝑑𝑓=𝑛−1

One-Sample t interval for a Population Mean 𝑥 ± 𝑡 ∗ 𝑠 𝑥 𝑛 Use when the population is Normal or the sample size is large enough (𝑛≥30) and the population is at least 10 times the sample size.

T procedures: The Normal Condition Sample size less than 30 – use t if the data appear close to Normal (roughly symmetric, single peak, no outliers). Do not use otherwise. Large Samples – t can be used even for clearly skewed distributions

#63

Homework #2 Pg 518 (63, 67-70, 72-78)