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♥ I need help I am trying to find free inferencing worksheets to print out and practice for my RDG097 reading class where can I find a site to print that out atHelp me with my science worksheet?!!?

♥ 1.Why do scientists carry out peer reviews of each other’s work? -a)to identify other explanations b)to keep guidelines required by law c)to make sure investigations are never copied d)to earn money to fund research 2.No one has ever seen the inside of an atom. Yet, we know what they are made of because of evidence from previous investigations. This is an example of which of the following? a)opinions b)suggestions c)calculations d)inferences Question 3.3. Why are most scientific investigations carried out? (Points : 3) a)to answer a question b)to further a scientist’s career c)to make money d)to prove another scientist wrong Question 4.4. Which of the following is an example of a scientific question that is not testable? (Points : 3) Why is the sky blue? a)How moist should soil be for a tomato seed to sprout? b)Is the strength of steel related to the amount of carbon in it? c)Does the rate of cooling of a liquid depend upon its initial temperature? Question 5.5. Which of the following is a direct observation? Choose all that apply. (Points : 4) a)measuring the mass of an unknown substance to identify it b)measuring the temperature of a substance to determine its melting point c)observing a star’s color to figure out its temperature d)recording the change in pitch of a car as it travels by you to find its speed Question 6.6. Which of the following requires an indirect observation? (Points : 3) a)determining the cell activity in the brain of a living person b)determining the temperature of a liquid c)weighing an unknown substance d)measuring the depth of a crater Question 7.7. Which of the following would best be studied using a model? (Points : 3) a)the structure of a flower b)the structure of the solar system c)the temperature of a liquid d)the temperature of the human body Question 8.8. Which of the following is an example of when a model might be used in science? (Points : 3) a)to predict a solar eclipse b)to measure the pH of water from a mine c)to detect ozone in the atmosphere d)to measure water flowLogic worksheet help. I have a test today and am trying to figure this out?

♥ Im having a great deal of difficulty with these traditional and modern square of opposition. I would appreciate any help 1) No werewolves are creatures that lurk around in the daytime. therefore, some werewolves are not creatures that lurk around in the daytime. I know this is an e&o statement but im clueless from there. 2) It is false that some cities in Japan are high crime areas. Therefore, some cities in Japan are not high crime areas. I & O statement. 3) All current residents of Atlantis are people with gills. therefore, it is false that some current residents of Atlantis are not people with gills. A & O statement Thank you!!Four questions that need answers?

♥ These questions are for homework that I do NOT . The worksheet is about reading terms and it's a crossword puzzle. I've answers the rest of them (35 questions to be exact) and I have three left that I do NOT get. I'll ask you the questions that you can hopefully answers. (1) Conclusion based on evidence that is not explicitly stated. (It's nine letters long.) (2) Origin of a word traced back in time (nine letters long.) (3) Present events that occurred earlier than the current time (nine letters long.) I hope someone will answer these questions, thank you! Oops, I accidentally put four questions that need answers for the title when I only need three My bad. Thank you so much Loob for 1 and 2. For 3 I have letter a in the third box.Inference about simple linear regression?

♥ 1 Relationship Between Eighth Grade IQ and Ninth grade Math Score For a statistics class project, students examined the relationship between x = 8th grade IQ and y = 9th grade math scores for 20 students. The data are displayed below. Student Math IQ Abstract Reas 1 33 95 28 2 31 100 24 3 35 100 29 4 38 102 30 5 41 103 33 6 37 105 32 7 37 106 34 8 39 106 36 9 43 106 38 10 40 109 39 11 41 110 40 12 44 110 43 13 40 111 41 14 45 112 42 15 48 112 46 16 45 114 44 17 31 114 41 18 47 115 47 19 43 117 42 20 48 118 49 Perform a linear regression with the Response (dependent variable) math score and the variable IQ as the Predictor (independent variable). Store/save the Residuals and Fitted values. These will be stored in the fourth and fifth columns of the data worksheet. The output (shown here in Minitab) should look as follows: Regression Analysis: Math Score versus IQ The regression equation is Math Score = - 21.0 0.567 IQ Predictor Coef SE Coef T P Constant -21.04 16.00 -1.32 0.205 IQ 0.5666 0.1475 3.84 0.001 S = 3.98537 R-Sq = 45.0% R-Sq(adj) = 42.0% Analysis of Variance Source DF SS MS F P Regression 1 234.30 234.30 14.75 0.001 Residual Error 18 285.90 15.88 Total 19 520.20 a. Explain this equation. Discuss slope as change in Y per unit change in X in context of the variables used in this problem b. Create a scatter plot of the measurements by selecting IQ as the predictor (x-variable) and math score as the response (y-variable). Describe the relationship between math score and IQ. c. One of the students with a high IQ (number 17) appears to be an outlier. With a sample size of only 20 this can affect our normality assumption. Also, the constant variance assumption could be compromised. We can visual check for constant variance using a Residual Plot and test for normality using a Probability Plo (or Q-Q plot)t. To get a residual plot, simply create a Scatterplot using the Residuals as the y-variable and the Fitted Values as the x-variable. Now create a probability plot (Q-Q plot if using SPSS) of the residuals. In Minitab, we are provided the results of a test of the null hypothesis that the data follows a normal distribution. Based on these two graphs and what you have learned about hypothesis testing, what interpretations do you come to regarding the assumptions of constant variance and normality? d. The least squares regression line for predicting math score from IQ is given in the above output. What is the fitted regression line (i.e. regression equation)? e. What do the values in the FITS and RES columns represent? f. Based on the output, what is the test of the slope for this regression equation? That is, provide the null and alternative hypotheses, the test statistic, p-value of the test, and state your decision and conclusion.

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