Scatter Plot Activi

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Scatter Plot Activity! By:Jonathan McAlister 3rd period

education pays 1.9 21 2.4 20 4.0 18 5.4 16 7.0 14 9.2 13 10.3 12 14.3 11

linear regression model line of best fit- y=2x slope- negative half y-intercept-24 correlation coefficient-1/2

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Marks: 5 The correlation between two variables A and B is .12 with a significance of p < .01, what can we concluded? Choose one answer.a. That there is a small relationship between A and B.b. That there is a substantial relationship between A and B.c. All of the above.d. That variable A causes variable B. Question2 Marks: 5 How much variance has been explained by a correlation of .9? Choose one answer.a. 90%b. 81%c. none of the aboved. 9% Question3 Marks: 5 When interpreting a correlation coefficient, it is important to look at: Choose one answer.a. The magnitude of the correlation coefficient.b. The +/ - sign of the correlation coefficient.c. The significance of the correlation coefficient.d. All of the above. Question4 Marks: 5 How many dependent variables does a two-way ANOVA have? Choose one answer.a. 1b. 3c. 4d. 2 Question5 Marks: 5 In a factorial design, with two factors, if the effect of one factor appears to depend on the levels of the second factor, this is called Choose one answer.a. A factorial effectb. An errorc. An interaction effectd. A main effect Question6 Marks: 5 Students were presented with four different paintings and asked which painting they liked best. Using the data below: What is the Expected Value? Artist Frequency Picasso 25 Dali 41 Miro 13 Modrian 29 Answer: Question7 Marks: 5 Students were presented with four different paintings and asked which painting they liked best. Using the data below: What is the obtained value? (to the nearest hundredth) Artist Frequency Picasso 25 Dali 41 Miro 13 Modrian 29 Answer: Question8 Marks: 5 Students were presented with four different paintings and asked which painting they liked best. Using the data below: What is the Critical Value? (to the nearest hundredth) Artist Frequency Picasso 25 Dali 41 Miro 13 Modrian 29 Answer: Question9 Marks: 5 Students were presented with four different paintings and asked which painting they liked best. Using the data below: What are the degrees of freedom? Artist Frequency Picasso 25 Dali 41 Miro 13 Modrian 29 Answer: Question10 Marks: 5 Students were presented with four different paintings and asked which painting they liked best. Is the result significant ArtistFrequencyPiscasso25Dali41Modrian29Miro13 Choose one answer.a. nob. yes Question11 Marks: 10 An economist is interested in studying the relationship between length of unemployment and job-seeking activity among whit collar workers. He interviews a sample of 12 unemployed accountants as to the number of weeks they have been unemployed (x) and weeks seeking a job (Y). Calculate Pearson\'s correlation coefficient (to the nearest hundredth). AccountantWeeks UnemployedWeeks Seeking EmployementA28B73C54D122E15F102G81H65I54J26K37L41 Answer: Question12 Marks: 5 An economist is interested in studying the relationship between length of unemployment and job-seeking activity among whit collar workers. He interviews a sample of 12 unemployed accountants as to the number of weeks they have been unemplo.

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Name_______________ 1. A school teacher believes that her kindergarten students have higher IQ than average children of that age. She decided to test her hypothesis. The IQ for her class (N=30) was 106, while the population mean () is 100. The standard deviation for her class was 10. 1.1. State the null and research hypothesis ( & ) (1 POINT) 1.2. Write the statistical conclusion, assuming alpha = .05 (Show your calculations). (1 POINT) 1.3. Based on your decision to reject or fail to reject , what type of error can you be making? (Choose one) (1 POINT) Type I error Type II error 2. A high school teacher correlated the math test scores and scores on a motivation scale for her 9th graders. She was delighted to find a high correlation between the two sets of scores. Later in the semester she correlated the math test scores of mathematically gifted students who had math scores above 85th percentile and their motivation scores. She found a much lower correlation. What could be the reason for the low correlation? (1 POINT) 3. Suppose that a performance test of manual dexterity has been administered to three groups of subjects in different occupations. The data appear in the table below. Answer the following questions. Group1 Group2 Group3 22 23 27 25 26 24 27 28 23 28 22 23 23 27 27 25 26 26 24 23 22 24 27 28 25 27 25 26 25 23 25 23 23 24 28 26 26 27 25 25 25 27 26 27 27 25 27 26 25 28 25 26 24 24 24 28 25 3.1. Compute the mean, mode, median, variance, and standard deviation for each group. (1 POINT) 3.2. Graph the histograms. (1 POINT) 3.3. Which group seems to have performed best on the test? (1 POINT) 3.4. Which group appears to be the most homogeneous in terms of manual dexterity? (1 POINT) 4. Thirty eighth grade students were selected from a class of a rural school. A researcher was able to obtain students’ math scores in 7th grade, the teacher’s evaluation scores on students’ academic aptitudes in 8th grade, and students’ final math scores in 8th grade. See the following table for data. Math scores in 7th grade Final math scores in 8th grade Teacher evaluation score 75 43 4 76 44 4 68 36 1 66 38 2 73 41 2 71 40 2 55 27 1 72 46 5 61 38 2 68 35 2 64 31 2 76 42 3 71 45 4 73 41 4 78 45 5 71 41 3 86 50 5 55 34 3 96 51 4 96 54 4 50 28 2 81 50 5 58 37 3 90 46 4 58 23 3 77 45 3 88 55 5 65 34 3 77 54 3 75 54 4 4.1. Run a correlation analysis to examine the relationships among the three variables and interpret the results. (2 POINTS) 5. Given a normal distribution of scores with mean equal to 300 and variance equal to 100, answer the following questions. 5.1. What proportion of scores would fall below 280? (1 POINT) 5.2. What is the probability that a randomly picked score would fall between 310 and 320? (1 POINT) 6. A psychologist rejected the null hypothesis that there is no difference between freshmen and sophomores on drinking behavior. She used a significance level of .05 ( = .05) what is the probability ...

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In high schools of Viet Nam, teaching calculus includes the knowledge of the real function with a real variable. A mathematics educator in France, Artigue (1996) has shown that the methods and approximate techniques are the centers of the major problems (including number approximation and function approximation...) in calculus. However, in teaching mathematics in Vietnam, the problems of approximation almost do not appear. With the task of training mathematics teachers in high schools under the new orientations, we present a part of our research with the goal of improving the contents and methods of teacher training

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You clearly understand the concepts of this assignment. You’ve done an excellent job answering the problems correctly. You’ve demonstrated a clear understanding of stats and their application to this assignment. You read your diagrams and explained the results correctly, and your formulaic work at the end is right on target. You have also written a very clean, narrative document. Be sure to look at the formatting of your sources. Be sure to always use credible sources to back your work. This is so important when it comes to academic and scholarly work. Please see my comments throughout the paper. That’s really where the advice ends regarding things you should work on, because you have demonstrated you have no problems with the content. Knowing these concepts, and progressing even more toward an academic writing style, will help you as you move forward personally and professionally. Being able to translate numbers into a sharp narrative document will make you a go-to person in the workplace, and it will provide confidence in everything you do. Good work on this assignment. Chapter Seven Problem 1) Look at the scatterplot below. Does it demonstrate a positive or negative correlation? Why? Are there any outliers? What are they? The scatterplot is an example of a positive correlation, the outlier in the scatterplot is 6.00. A ; “Outliners are a set of data, a value so far removed from other values in the distribution that its presence cannot be attributed to the random combination of chance causes” (http://www.statcan.gc.ca/,2013)scatterplot is considered positive when the point runs from the lower left to the upper right such as the circles shown on the example . Problem 2) Look at the scatterplot below. Does it demonstrate a positive or negative correlation? Why? Are there any outliers? What are they? The scatter plot is the opposite of example one, it is actually a negative correlation because the points run from the upper left to the lower right. As with example one there is an outer liner which is 6.00 as well, it does not fall within line with the other points. Problem 3) The following data come from your book, problem 26 on page 298. Here is the data: Mean daily calories Infant Mortality Rate (per 1,000 births) 1523 154 3495 6 1941 114 2678 24 1610 107 3443 6 1640 153 3362 7 3429 44 2671 7 For the above data construct a scatterplot using SPSS or Excel (Follow instructions on page 324 of your textbook). What does the scatterplot show? Can you determine a type of relationship? Are there any outliers that you can see? Mean daily calories Infant Mortality Rate (per 1,000 births) 1523 154 3495 6 1941 114 2678 24 1610 107 3443 6 1640 153 3362 7 3429 44 2671 7 Infant Mortality Rate (per 1,000 births) 0 20 40 60 80 100 120 140 160 180 020004000 Infant Mortality Rate (per 1,000 births) The scatter plot demonstrates that there is a significant reverence b.

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