Chapter 1 What does statistics mean to you How is statistics used What do you already know about Statistics What do you want to know about Statistics Make a chart and list 5 things you already know and 5 things you want to know ID: 513003
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Slide1
Understandable Statistics
Chapter 1Slide2
What does statistics mean to you?
How is statistics used?
What do you already know about Statistics?What do you want to know about Statistics?Make a chart and list 5 things you already know and 5 things you want to know.
1.1 What is Statistics?Slide3
Statistics- study of how to collect, organize, analyze, and interpret numerical information from data.
Individuals
- people or objects included in the study.Variable-
characteristic
of the individual to be measured or observed.
Basic TermsSlide4
Quantitative- has a
value or numerical
measurement for which operations such as addition or averaging make sense.Qualitative- describes an individual by placing the individual into a category or group
.
Come up with 3 examples of quantitative and qualitative variables in your groups.
Types of VariablesSlide5
Population
- the data from
EVERY individual of interest.Parameter- numerical measure that describes an aspect of a population.
Sample
- the data from ONLY SOME
of the individuals of interest.
Statistic
- numerical measure that describes an aspect of a
sample.
Data SourceSlide6
Which type of data source is usually used? Why?
Give an example of a population statistic.
Do you want similar characteristics of the individuals when taking a sample? Explain why?Population
vs
SampleSlide7
Pineapples are being harvested to do an experiment.
If all of the pineapples are included in the data, then we have a __________. The average weight of all the pineapples is a ____________.
If only some of the pineapples are included in the data, then we have a ______________. The pineapples are given a taste rating of “good” is a _____________.
Population vs. SampleSlide8
Nominal- data that consists of
names, labels, or categories
.Ordinal- data that can be arranged in order.
Come up with examples of nominal and ordinal data in your groups.
Levels of MeasurementSlide9
Discuss in your groups Guided Exercises 1 and 2.
Refer to pg 6 #1 a-e.
Refer to pg 8 #2 a, e-g.Guided ExercisesSlide10
Pg 10 #1, 3, 5-8, 9cd, 10acf, 11ad
1.1 HomeworkSlide11
In a lottery, people choose six random numbers from 1-100.
Is the number 25 as likely to be selected in the winning group of six numbers as the number 85?
Could all the winning numbers be even?Could all the winning numbers be odd?Your friend plays 1, 2, 3, 4, 5, and 6. Could she ever win?
Random Sample QuestionSlide12
What does it mean for an experiment to be random?
How would you conduct an experiment randomly?
Why would you want to conduct a random experiment?1.2 Random SamplesSlide13
Number all members of the population.
Use a table, calculator, or computer to select random numbers from the numbers assigned to the population members.
Create the sample by using population members with numbers corresponding to those randomly selected.
How to Draw a Random SampleSlide14
n measurements from a population is a subset of the population selected in a manner such that every sample of size
n
from the population has an equal chance of being selected.Everything has an equally likely
chance of being selected.
Random-Number Table: Pg A-9
Simple Random SampleSlide15
Random
- Use a simple random sample from the
entire population.Stratified- Divide the entire population into distinct subgroups called strata. The strata are based on a specific characteristic
such as age, income, education level, and so on. All members of a stratum share the specific characteristics. Draw random samples from each stratum.
Systematic
- Number all members of the population sequentially. Then, from a starting point selected at random, include
every
k
th
member
of the population in the sample.
Sampling TechniquesSlide16
Cluster
- Divide the entire population into pre-existing segments or clusters. The clusters are often
geographic. Make a random selection of clusters. Include every member of each selected cluster in the sample.Multistage- Use a variety of sampling methods to create successively
smaller groups
at each stage. The final sample consists of clusters.
Convenience
- Create a sample by using data from the population members that are
readily available
.
Sampling TechniquesSlide17
Refer to page 19 #15 or 16.Discuss in your groups what type of sampling technique your groups letter is. Be prepared to explain why.
Sampling TechniquesSlide18
1. Do you feel that
Norwin
School District should build an aquarium?2. Do you go to the movies often?3. Do you like to read?4. Do you think it is appropriate for students to use their phones in school?5. Do you want to go to college?
Answer the following questions:*Slide19
1. Do you feel that
Norwin
School District should cut the lunch choices to build an aquarium?2. Do you go to the movies once a week?3. Do you read more than 5 books a year?4. Do you think it is inappropriate for students to not use their phones in school?
5. Is it your desire to advance your educational knowledge by attending a university for four years?
Now answer these questions:*Slide20
Observational Study
- observations and measurements of individuals are conducted in a way that
doesn’t change the response or the variable being measured.Experiment- a treatment
is deliberately imposed on the individuals in order to observe a
possible change in the response or variable being measured.
1.3 Introduction to Experimental DesignSlide21
Placebo Effect
- occurs when a subject receives
no treatment but believes he or she is in fact receiving treatment and responds favorably.Control Group- receives a
dummy treatment
, enabling the researchers to control for the placebo effect.
More
VocabSlide22
Lurking
-
no data has been collected but nevertheless has influence on other variables in the study.Two variables: amount of gas and time it takes to get to school
Example: level of traffic
Confounded- effects of one
cannot
be distinguished from the effects of the other.
Several variables: IQ, difficulty of courses, amount of study time, GPA
Example: less study time takes easier classes
VariablesSlide23
What would be some confounding variables in the following experiments:
1. You want to see if students from suburban schools and inner city schools have the same average test score.
2. Cookie vs Cream Oreo poll online.3. Polling students in high school on whether or not they cheat.
Confounding VariablesSlide24
While I pass out the Survey Project, read over Page 20: Basic Guidelines for Planning a Statistical Test and Page 24: Some Potential Pitfalls of a Survey.
Then, take a few minutes to read over the Survey Project.
Survey Project***Slide25
You may work in groups of 3 with groups of your
choosing.
You do not have to do Section 1.3 Homework.DO NOT start answering the Guiding Questions yet. Just read over them. You will answer them AFTER you conduct the survey.For tomorrow, you must think of possible questions to put on your surveys.
Homework*Slide26
Monday: Finish 1.3 & begin Survey Project.
HW: Come up with a draft of your Surveys.
Tuesday: Complete Draft of Surveys. Trade Surveys with other groups. Finalize Surveys. If you want copies made they must be turned in by the end of class. Pick them up before homeroom tomorrow.HW: Conduct survey and collect data.
Wednesday: Answer Guiding Questions and Reflection Questions. Start discussion/ presentations.
Thursday: Finish discussion/presentations. Individually complete Survey Review.
HW: Read Section 2.1 & 2.1 Reading Guide.
Timeline*