53
By: Bethanie Diffenderfer To Bibliography Statisti cal Thinking

By: Bethanie Diffenderfer

  • Upload
    gasha

  • View
    36

  • Download
    0

Embed Size (px)

DESCRIPTION

Statistical Thinking. By: Bethanie Diffenderfer. To Bibliography. Distributions 200. Find Q uartile 1 and Quartile 3 of the following data: Number of times a person sneezes in a day: 0,0,0,0,1,1,1,1,1,1,2,2,2,2,3,3,3,4,4,4,5,5,6. Answer. Distributions 400. - PowerPoint PPT Presentation

Citation preview

Page 1: By: Bethanie Diffenderfer

By:Bethanie Diffenderfer

To Bibliography

Statistical

Thinking

Page 2: By: Bethanie Diffenderfer

Distributions

Relationships

Samples, Surveys,

and Experiments

Probability Wonder Words

200 200 200 200 200

400 400 400 400 400

600 600 600 600 600

800 800 800 800 800

1000 1000 1000 1000 1000

Page 3: By: Bethanie Diffenderfer

Distributions 200 Find Quartile 1 and Quartile 3 of the

following data: Number of times a person sneezes in a

day: 0,0,0,0,1,1,1,1,1,1,2,2,2,2,3,3,3,4,4,4,5,5,6

Answer

Page 4: By: Bethanie Diffenderfer

Distributions 400 Joe Billy Bob is taking a survey for his

Statistics class on the ways people get to and from school. His findings show that 56 people ride the bus, 48 people drive themselves, 22 people carpool and 17 students walk.

With the presented data, what would be the best graph to use to display his findings?

Answer

Page 5: By: Bethanie Diffenderfer

Distributions 600 Describe the shape of the curve:

Answer

(1)

Page 6: By: Bethanie Diffenderfer

Distributions 800

A distribution of 6 scores has a median of 21. If there highest score increases 3 points, the

median will be?

Answer

Page 7: By: Bethanie Diffenderfer

Distributions 1000 What are the percentages of the data

for the red, red and green, red and green and blue sections of the graph.

Answer

(2)

Page 8: By: Bethanie Diffenderfer

Relationships 200

Please explain the process of how to construct a scatter plot. Make sure that

you include all points of a graph. (hint: the thing at the top, etc.)

Answer

Page 9: By: Bethanie Diffenderfer

Relationships 400

Answer

Describe the correlation of the graph below:

(3)

Page 10: By: Bethanie Diffenderfer

Relationships 600 There is a strong linear association between

the weight of a football player and the time in seconds it takes for that player to run a 100-yard dash. Knowing this. A reasonable value for the correlation r between weight and 100-yard dash time would be:

A: r = 0.8 B: r = 0 C: r = -0.8

Answer(4)

Page 11: By: Bethanie Diffenderfer

Relationships 800 Which of the following statements about

the slope of the least square regression line is true? A: It has the same sign as the correlation

coefficient r B: The square of the slope equals the

proportion of the variation in the response variable that is explained by the explanatory variable.

C: It is unitlessAnswer(4)

Page 12: By: Bethanie Diffenderfer

Relationships 1000 A local community college announces the

correlation between college entrance exam grades and scholastic achievement was found to be -1.08. On the basis of this you would tell the college that… A: The entrance exam is a good predictor of

success B: The exam is a poor predictor of success C: Students who do best on this exam will be

poor students D: The college should hire a new statistician E: Students at this school are underachieving Answer

Page 13: By: Bethanie Diffenderfer

Samples, Surveys, and Experiments 200Which of the following

statements are true? A: Random sampling is a good way to

reduce response bias. B: To guard against bias from

undercoverage, use a convenience sample. C: Increasing the sample size tends to

reduce survey bias. D: To guard against nonresponse bias, use

a mail-in survey.Answer

(4)

Page 14: By: Bethanie Diffenderfer

Samples, Surveys, and Experiments 400 You wish to conduct a study to examine

how the religious affiliation of a person may influence their opinion about abortions. Which of the following statements about the variable “religion affiliation” is true? A: It is the explanatory variable and is

quantitative B: It is the response variable and it is

categorical C: It is the explanatory variable and is

categorical Answer

Page 15: By: Bethanie Diffenderfer

Samples, Surveys, and Experiments 600

An auto analyst is conducting a satisfaction survey, sampling from a list of 10,000 new car buyers. The list includes

2,500 Ford buyers, 2,500 GM buyers, 2,500 Honda buyers, and 2,500 Toyota buyers. The analyst selects a sample of 400 car buyers, by randomly sampling

100 buyers of each brand. Is this an example of a simple random sample?

Answer

Page 16: By: Bethanie Diffenderfer

Samples, Surveys, and Experiments 800Which of the following statements

are true? A: A sample survey is an example of an

experimental study. B: An observational study requires fewer

resources than an experiment. C: The best method for investigating

causal relationships is an observational study.

Answer

Page 17: By: Bethanie Diffenderfer

Samples, Surveys, and Experiments 1000Nine hundred (900) high school freshmen

were randomly selected for a national survey. Among survey participants, the

mean grade-point average (GPA) was 2.7, and the standard deviation was 0.4. What

is the margin of error, assuming a 95% confidence level?

Answer

Page 18: By: Bethanie Diffenderfer

Probability 200A card is drawn randomly from

a deck of ordinary playing cards. You win $10 if the card is a spade or an ace. What is the probability that you will win the

game?

Answer

Page 19: By: Bethanie Diffenderfer

Probability 400On any given day, the probability

it will rain is 0.32; the probability the wind will blow is 0.2; and the probability that it will rain and the wind will blow is 0.1.

For a randomly selected day, what is the probability that it will NOT rain and the wind will NOT blow?

Answer

Page 20: By: Bethanie Diffenderfer

Probability 600

Two dice are rolled, find the probability that the sum is

equal to 5.

Answer

Page 21: By: Bethanie Diffenderfer

Probability 800A train is scheduled to leave the station at

3 P.M. However, it is equally likely to actually leave the station any time from

2:55 to 3:15 P.M. What is the probability it will depart the station early?

Answer

Page 22: By: Bethanie Diffenderfer

Probability 1000Suppose a die is tossed 5

times. What is the probability of getting exactly 2 fours?

Answer

Page 23: By: Bethanie Diffenderfer

Wonder Words 200What is an

inflexion point?

Answer(5)

Page 24: By: Bethanie Diffenderfer

Wonder Words 400The equation that is used to determine outliers in a set of data. Please state

the name and the formula.

Answer(5)

Page 25: By: Bethanie Diffenderfer

Wonder Words 600What is a numerical

measure of the direction and strength of a linear

association?

Answer(5)

Page 26: By: Bethanie Diffenderfer

Wonder Words 800

What reflects the overall accuracy and correlation of

statistical data sample?

Answer(5)

Page 27: By: Bethanie Diffenderfer

Wonder Words 1000

What is an extraneous variable in statistical mode that correlates with both the

dependent and independent variable?

Answer(5)

Page 28: By: Bethanie Diffenderfer

Distributions 200

Quartile 1: 1Quartile 3: 4

Game Board

Page 29: By: Bethanie Diffenderfer

Distributions 400

BusDrive

CarpoolWalk

0 20 40 60

School Transportation

School Transporta-tion

Game Board

A bar graph or histogram

Page 30: By: Bethanie Diffenderfer

Distributions 600

Skewed Right or Positively Skewed

Game Board

Page 31: By: Bethanie Diffenderfer

Distributions 800

21

Game Board

Page 32: By: Bethanie Diffenderfer

Distributions 1000

Red: 68%Red and Green: 95%Red, Green, and Blue:

99.7%

Game Board

Page 33: By: Bethanie Diffenderfer

Relationships 200 Title X-axis title Y-axis title Numerical values for x and y Dots corresponding to the x and y data

values.

Game Board

Page 34: By: Bethanie Diffenderfer

Relationships 400

A weak negative correlation.

Game Board

Page 35: By: Bethanie Diffenderfer

Relationships 600A: 0.8

This is because there is a strong linear correlation. As weight increases, time will increase as well making this a strong positive correlation. The closer you get to 1 in correlation the stronger it is. Since it is positive it is a positive number.

Game Board

Page 36: By: Bethanie Diffenderfer

Relationships 800

B: The square of the slope equals the proportion of the

variation in the response variable that is explained by

the explanatory variable.

Game Board

Page 37: By: Bethanie Diffenderfer

Relationships 1000

D: The college should hire a new statistician

Game Board

Page 38: By: Bethanie Diffenderfer

Samples, Surveys, and Experiments 200

None of them

Game Board

Page 39: By: Bethanie Diffenderfer

Samples, Surveys, and Experiments 400

C: It is the explanatory variable and is categorical

Game Board

Page 40: By: Bethanie Diffenderfer

Samples, Surveys, and Experiments 600 No, because every possible 400-buyer sample did not have an equal chance of

being chosen.

Game Board

Page 41: By: Bethanie Diffenderfer

Samples, Surveys, and Experiments 800

None of them

Game Board

Page 42: By: Bethanie Diffenderfer

Samples, Surveys, and Experiments 1000

0.025

Game Board

Page 43: By: Bethanie Diffenderfer

Probability 200

16/52 or 4/13

Game Board

Page 44: By: Bethanie Diffenderfer

Probability 400

0.58

Game Board

Page 45: By: Bethanie Diffenderfer

Probability 600

4/36 or 1/9

Game Board

Page 46: By: Bethanie Diffenderfer

Probability 800

0.25

Game Board

Page 47: By: Bethanie Diffenderfer

Probability 1000

0.161

Game Board

Page 48: By: Bethanie Diffenderfer

Wonder Words 200It is the point on the curve where the direction of the

curve changes from increasing to decreasing or

vise versa.

Game Board

Page 49: By: Bethanie Diffenderfer

Wonder Words 400

Inter Quartile Range(Q1 – Q3) x 1.5

Game Board

Page 50: By: Bethanie Diffenderfer

Wonder Words 600

Least-Square Regression Line

Game Board

Page 51: By: Bethanie Diffenderfer

Wonder Words 800

Variance

Game Board

Page 52: By: Bethanie Diffenderfer

Wonder Words 1000

Confounding

Game Board

Page 53: By: Bethanie Diffenderfer

Bibliography NCAR Command Language. 2013. Bolder, Colorado. NCAR.

Web. 11 September 2013. Wissing, Russ. Describing a Distribution. Seward High School,

Nebraska. Web. 11 September 2013. Niles, Robert. Standard Deviation. 1995. RobertNiles.com.

Web. 11 September 2013. Canul, Yvonne C. High School Content Expectations.

November 2007. Michigan Department of Education. Web. 17 September 2013.

Hart, Diana. Final Exam. AP Statistics. Romeo High School, Romeo, MI. 18 May 2011.

Hart Diana. Class Lecture. AP Statistics. Romeo High School, Romeo, MI. 2010-2011

Game Board