 Start with the coefficient of 5x 3 y 2.  Cube your result.  Add the digits of your answer together.  Take the cube root of your answer.  Add the.

Slides:



Advertisements
Similar presentations
DESCRIBING DISTRIBUTION NUMERICALLY
Advertisements

UNIT 8: Statistical Measures
3.3 Measures of Position Measures of location in comparison to the mean. - standard scores - percentiles - deciles - quartiles.
Unit 16: Statistics Sections 16AB Central Tendency/Measures of Spread.
Statistics and Probability (Day 1) 13.2 Measures of Center and Spread
Unit 6B Measures of Variation.
In this chapter, we will look at some charts and graphs used to summarize quantitative data. We will also look at numerical analysis of such data.
Descriptive Statistics
B a c kn e x t h o m e Parameters and Statistics statistic A statistic is a descriptive measure computed from a sample of data. parameter A parameter is.
Measures of Dispersion
Objectives 1.2 Describing distributions with numbers
Population All members of a set which have a given characteristic. Population Data Data associated with a certain population. Population Parameter A measure.
UNIT 8:Statistical Measures Measures of Central Tendency: numbers that represent the middle of the data Mean ( x ): Arithmetic average Median: Middle of.
Chapter 12 – Probability and Statistics 12.7 – The Normal Distribution.
Objectives Vocabulary
Math I: Unit 2 - Statistics
Objectives The student will be able to: find the variance of a data set. find the standard deviation of a data set.
Skewness & Kurtosis: Reference
7.3 and 7.4 Extra Practice Quiz: TOMORROW THIS REVIEW IS ON MY TEACHER WEB PAGE!!!
Statistical Measures. Measures of Central Tendency O Sometimes it is convenient to have one number that describes a set of data. This number is called.
Warm Up Find the mean, median, mode, range, and outliers of the following data. 11, 7, 2, 7, 6, 12, 9, 10, 8, 6, 4, 8, 8, 7, 4, 7, 8, 8, 6, 5, 9 How does.
WARM UP Find the mean, median, mode, and range 1. 5, 10, 19, 34, 16, , 22, 304, 425, 219, 304, 22, 975 When you are done the warm up put the calculator.
The Median of a Continuous Distribution
Finding Mean, Median, Upper Extreme, Lower Extreme and Standard Deviation Using the Graphics Calculator.
Homework Questions. Measures of Center and Spread Unit 5, Statistics.
Stem and Leaf Bingo. Pick 8 from the list
Numerical Measures of Variability
What’s with all those numbers?.  What are Statistics?
Chapter 5 Normal Probability Distributions. Chapter 5 Normal Probability Distributions Section 5-1 – Introduction to Normal Distributions and the Standard.
Chapter 5 Normal Probability Distributions. Chapter 5 Normal Probability Distributions Section 5-1 – Introduction to Normal Distributions and the Standard.
Chapter 1: Exploring Data Lesson 7: Variance and Standard Deviation Mrs. Parziale.
Measures of Center & Spread. Measures of Center.
AP Statistics Section 7.2A Mean & Standard Deviation of a Probability Distribution.
Module 8 Test Review. Find the following from the set of data: 6, 23, 8, 14, 21, 7, 16, 8  Five Number Summary: Answer: Min 6, Lower Quartile 7.5, Median.
Measures of Central Tendency PS Algebra I. Objectives Given a set of data, be able to find the following: 1) mean* 2) median* 3) mode* 4) range 5) first.
STATISTICS Chapter 2 and and 2.2: Review of Basic Statistics Topics covered today:  Mean, Median, Mode  5 number summary and box plot  Interquartile.
2.4 Measures of Variation The Range of a data set is simply: Range = (Max. entry) – (Min. entry)
Chapter 1 Review. Why Statistics? The Birth of Statistics Began in the 17th Century System to combine probabilities with Bayesian inference Important.
AP Statistics 5 Number Summary and Boxplots. Measures of Center and Distributions For a symmetrical distribution, the mean, median and the mode are the.
One-Variable Statistics. Descriptive statistics that analyze one characteristic of one sample  Where’s the middle?  How spread out is it?  How do different.
Introduction to Statistics
Introduction to Statistics
Measures of Position – Quartiles and Percentiles
Lesson 11.1 Normal Distributions (Day 1)
Statistics 1: Statistical Measures
One-Variable Statistics
Measures of Central Tendency
Day 7 Agenda: DG minutes For today’s lesson, U1 L6, you will need a graphing calculator.
Measures of Central Tendency & Center of Spread
Measures of Central Tendency
Do-Now-Day 2 Section 2.2 Find the mean, median, mode, and IQR from the following set of data values: 60, 64, 69, 73, 76, 122 Mean- Median- Mode- InterQuartile.
The Practice of Statistics, Fourth Edition.
Measures of Central Tendency & Center of Spread
Measures of central tendency
Chapter 5: Describing Distributions Numerically
Measure of Center And Boxplot’s.
Normal Probability Distributions
Measure of Center And Boxplot’s.
Algebra I Unit 1.
POPULATION VS. SAMPLE Population: a collection of ALL outcomes, responses, measurements or counts that are of interest. Sample: a subset of a population.
You will need your calculator today (and every day from now on)
Measures of central tendency
Notes – Standard Deviation, Variance, and MAD
Comparing Statistical Data
MCC6.SP.5c, MCC9-12.S.ID.1, MCC9-12.S.1D.2 and MCC9-12.S.ID.3
First Quartile- Q1 The middle of the lower half of data.
Thursday, February 6th What are the measures of center?
Ticket in the Door GA Milestone Practice Test
Statistics Screens for TI Graphing Calculators
UNIT 8: Statistical Measures
Presentation transcript:

 Start with the coefficient of 5x 3 y 2.  Cube your result.  Add the digits of your answer together.  Take the cube root of your answer.  Add the sum of the exponents in 6ab 2.

 14-3 Worksheet (odd problems)  Page – 21 (odd)

A.0.1 B.0.2 C.0.25 D.0.3 The probability distribution shows the probabilities of different types of weather occurring on a particular day. Ariana’s soccer game will be canceled if there is rain or snow. What’s the probability that the game will be cancelled?

 Maximum occurs at the mean.  Mean, Median and Mode are equal  Population mean and Standard Deviation can be used to determine probabilities Since the histogram is high on the right and low on the left, the data are negatively skewed.

A normal distribution of data has a mean of 66 and standard deviation of 11. Find the probability that random value x is less than 44, that is P(x < 44). µ = 66 and  = 11 µ – 2 , that is 66 – 2(11) or 44 Answer: P(x < 44) = 2.5%

 A. PACKAGING Students counted the number of candies in 100 small packages. They found that the number of candies per package was normally distributed, with a mean of 23 candies per package and a standard deviation of 1 piece of candy. About how many packages had between 22 and 24 candies? About 68 packages contained between 22 and 24 pieces. B. What is the probability that a package selected at random had more than 25 candies? The probability that a package selected at random had more than 25 candies is about 2.5%.

 Page

The Interquartile Range is the difference between the upper quartile and lower quartile. In this example, the interquartile range is = 7

 You can use also calculate this using your TI-84 calculator. Place the data into L1 using STATS, EDIT function. Then analyze the data using STATS, CALC, 1: 1-Var Stats. The first screen (at left) gives = Mean (average) and = Standard Deviation. The second screen provides the Med = Median, Q1 = lower quartile value, and Q3 = upper quartile value.  So, using the TI-84 calculator, you can quickly find the interquartile range by using Q3 – Q1. In this example 11 – 4 = 7.

 The following represents the body temperatures of healthy students Find the average temperature. (tenths) (98.37) 2. Find the standard deviation. (tenths) (0.96) 3. What percent of the students have a temperature below ? (97.5) 4. What percentage is between and 99.33? (81.5)

 Page