L1Cal Pedestal Studies Sabine Lammers Philippe Laurens 26-Sep-2006.

Slides:



Advertisements
Similar presentations
Stats for Engineers Lecture 5
Advertisements

Sampling Distribution of a Sample Proportion Lecture 26 Sections 8.1 – 8.2 Wed, Mar 8, 2006.
Econ 338/envr 305 clicker questions
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.

Copyright © 2006 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide
Zero Energy Response of ADF Raw ADC and ADF Output Et & New “36 LiveX sampling mode” for Find_DAC Philippe Laurens MSU Sept 2006 (rev 20-sept-2006)
Assuming normally distributed data! Naïve Bayes Classifier.
Pedestal Tracking in action a.k.a. Active Stabilization of L1Cal Trigger Tower Zero Energy Response Philippe Laurens Michigan State University 09-Nov-2007.
DISTRIBUTION OF THE SAMPLE MEAN
Looking for effects of PDT state changes on Pedestals (or Pedestal Adjustments) during 14-Jan Feb-2008.
Pedestal Correction in action (but still during shutdown) Philippe Laurens Michigan State University 16-Oct-2007.
Standard Normal Distribution
Ch. 5 The Normal Curve Comparing histograms to the normal curve Interpretation of SDs and areas.
22-s02 27-s02 25-s04 20-s03 20-s06,7 28-s01 20-s04 22-s01 27-s01 20-s05.
Pedestal Studies (continued) …Individual Towers Philippe Laurens Michigan State 02-Oct-2007.
Standard error of estimate & Confidence interval.
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.
Probability and Samples
Sampling and sampling distibutions. Sampling from a finite and an infinite population Simple random sample (finite population) – Population size N, sample.
Sampling Distribution of the Sample Mean. Example a Let X denote the lifetime of a battery Suppose the distribution of battery battery lifetimes has 
Section 5.2 The Sampling Distribution of the Sample Mean.
Anthony J Greene1 Where We Left Off What is the probability of randomly selecting a sample of three individuals, all of whom have an I.Q. of 135 or more?
Statistics 300: Elementary Statistics Section 6-5.
Chapter 7 Sampling and Sampling Distributions ©. Simple Random Sample simple random sample Suppose that we want to select a sample of n objects from a.
1 Chapter 7 Sampling Distributions. 2 Chapter Outline  Selecting A Sample  Point Estimation  Introduction to Sampling Distributions  Sampling Distribution.
AP Statistics Section 9.3B The Central Limit Theorem.
6.3 THE CENTRAL LIMIT THEOREM. DISTRIBUTION OF SAMPLE MEANS  A sampling distribution of sample means is a distribution using the means computed from.
Math b (Discrete) Random Variables, Binomial Distribution.
The talk: *The problem with current thunderstorm forecasting. *What would be ideal. *Thunderstorm statistics. *Our assumptions. *The algorithm and its.
CHAPTER SEVEN ESTIMATION. 7.1 A Point Estimate: A point estimate of some population parameter is a single value of a statistic (parameter space). For.
A life insurance company sells a term insurance policy to a 21-year-old male that pays $100,000 if the insured dies within the next 5 years. The probability.
§ 5.3 Normal Distributions: Finding Values. Probability and Normal Distributions If a random variable, x, is normally distributed, you can find the probability.
Click to edit Master title style A-90%A91-98%A+100% B-80%B81-88%B+89% C-70%C71-78%C+79% D-60%D61-68%D+69% F0-58%F+59% 40 points possible Mean: 82.5 Mean:
SAMPLING DISTRIBUTIONS
Hypothesis Testing and the T Test. First: Lets Remember Z Scores So: you received a 75 on a test. How did you do? If I said the mean was 72 what do you.
7.2 Notes Central Limit Theorem. Theorem 7.1 – Let x be a normal distribution with mean μ and standard deviation σ. Let be a sample mean corresponding.
1 Sampling distributions The probability distribution of a statistic is called a sampling distribution. : the sampling distribution of the mean.
Term 1 Week 7 Warm Ups. Warm Up 9/22/14 1.Students were asked to measure the width of their desks in centimeters. Identify the outlier, and describe how.
11.7 Continued Probability. Independent Events ► Two events are independent if the occurrence of one has no effect on the occurrence of the other ► Probability.
STA 2023 Section 5.4 Sampling Distributions and the Central Limit Theorem.
Assumptions and Conditions –Randomization Condition: The data arise from a random sample or suitably randomized experiment. Randomly sampled data (particularly.
Distributions of Sample Means. z-scores for Samples  What do I mean by a “z-score” for a sample? This score would describe how a specific sample is.
1 Probability and Statistics Confidence Intervals.
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:
SPSS Problem and slides Is this quarter fair? How could you determine this? You assume that flipping the coin a large number of times would result in.
m/sampling_dist/index.html.
7.3 Sample Means Objectives SWBAT: FIND the mean and standard deviation of the sampling distribution of a sample mean. CHECK the 10% condition before calculating.
Chapter 7, continued.... IV. Introduction to Sampling Distributions Suppose you take a second sample of n=30 and calculate your estimators again: s =
Cell Diameters and Normal Distribution. Frequency Distributions a frequency distribution is an arrangement of the values that one or more variables take.
A life insurance company sells a term insurance policy to a 21-year-old male that pays $100,000 if the insured dies within the next 5 years. The probability.
Math a Discrete Random Variables
SAMPLING DISTRIBUTION. Probability and Samples Sampling Distributions Central Limit Theorem Standard Error Probability of Sample Means.
Probablity Density Functions

Warm Up 1) A 2016 study from the State Department found that 46% of American citizens hold a passport. If repeated samples of 40 American citizens are.
AP Statistics: Chapter 7
عمل الطالبة : هايدى محمد عبد المنعم حسين
Sampling Distribution Models
The Normal Probability Distribution Summary
Warm-up A radar unit is used to measure speeds of cars on a motorway. The speeds are normally distributed with a mean of 90 km/hr and a standard deviation.
SWBAT: Review sampling distributions of sample proportions and means
Warm Up 1) A 2016 study from the State Department found that 46% of American citizens hold a passport. If repeated samples of 40 American citizens are.
Sampling Distribution of a Sample Proportion
Statistics.
CHAPTER- 3.1 ERROR ANALYSIS.
The mean value of land and buildings per acre for farms is $1300, with a standard deviation of $250. A random sample of size 36 is drawn. 1) What is the.
Sampling Distribution of a Sample Proportion
Essential Statistics Sampling Distributions
Presentation transcript:

L1Cal Pedestal Studies Sabine Lammers Philippe Laurens 26-Sep-2006

Test Conditions on 26-Sep-2006 This data was collected starting around 18:30, while the detector was closing. The closing process normally takes ~1 hour, but took closer to 4, and we think they started shortly after 6pm. The conditions for these tests thus probably started closer to (C) with the iron in motion. –(A) CAL powered but not read out; PDT A-Layer off (powered down); SMT off; CFT on; iron open –(B) CAL powered but not read out; PDT A-layer on; SMT off; CFT on; iron open –(C) CAL powered but not read out; PDT A-layer on; SMT on but not read out; CFT on; iron open –(D) CAL powered but not read out; PDT A-layer on; SMT on but not read out; CFT on; iron closed

Example: HD_TT(+9,19) Fairly quiet Iron Closing Raw ADC oversampled data: Average and Standard Deviation of 4x159=636 independent 1,000 point histograms

Iron Closing Raw ADC oversampled data: Average and Standard Deviation of the samples used for the 36 Live Crossings Example: HD_TT(+9,19) Fairly quiet

Example: HD_TT(+9,22) High 132ns synchronous noise Low Turn-wise synchronous noise Iron Closing

Example: HD_TT(+9,22) High 132ns synchronous noise Low Turn-wise synchronous noise

Iron Closing Example: HD_TT(+9,9) High 132ns synchronous noise High Turn-wise synchronous noise

Iron Closing Example: HD_TT(+9,9) High 132ns synchronous noise High Turn-wise synchronous noise

Random Noise does not change noticably while Iron is Closing Iron Closing

Pedestal Fluctuation wrt. Live X (i.e. turn-wise synchronous noise) increases while Iron is Closing Iron Closing