500 juniors at RHS took the ACT last year. The scores were normally distributed with a mean of 24 and a standard deviation of 4. Draw a normal curve and label the mean and 3 standard deviations from the mean to help you answer the following questions. a) What percent of scores are between 20 and 28? b) What percent of scores are between 16 and 32? c) What percent of scores are between 16 and 28?

500 juniors at RHS took the ACT last year. The scores were normally distributed with a mean of 24 and a standard deviation of 4. Draw a normal curve and label the mean and 3 standard deviations from the mean to help you answer the following questions. a) What percent of scores are between 20 and 28? b) What percent of scores are between 16 and 32? c) What percent of scores are between 16 and 28?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

When you run a regression, you choose which variable is your Y variable and which variable(s) is/are your X variable(s). What does that decision represent? 1 A claim of causation. 2 A failure to reject the null hypothesis. 3 An attempt to find correlation. 4 A desire to minimize RSS. 5 None of these
Looking for the answers and explanation to questions 1,2 and 3 below. Histogram is attached so no need to run it. Your boss asks you to gather all data regarding pounds of waste across all areas identified. You go through the store archives and find data over the past 100 weeks. The weekly pounds of waste is in the chart below (treat this as population data). She wants to know if the data is normally distributed and for you to explain process variability to her. You decide to run a histogram to visually inspect for data normality. 1.) Explain to your boss the histogram and the “shape” of the curve. 2.) Is it normally distributed? 3.) Does it appear that there is high or low variability in the waste numbers? Explain to your boss. Pounds of Wasted Food 493 521 500 461 500 523 554 499 514 508 527 505 470 523 518 479 463 483 477 478 494 494 480 522 543 472 538 502 486 508 513 486 487 478 519 481…
I need a answer as well as soon Need only typed answer by keyboard Handwritten answer not allow you allow
Bivariate data obtained for the paired variables x and y are shown below, in the table labeled "Sample data." These data are plotted in the scatter plot in Figure 1, which also displays the least-squares regression line for the data. The equation for this line is y = 14.87+0.88x. In the "Calculations" table are calculations involving the observed y-values, the mean y of these values, and the values y predicted from the regression equation. Sample data Calculations 160+ x y (x-1)² (-5)² (v-^^)² 150+ 107.2 110.7 396.0100 457.7032 2.2320 122.0 130.3 140- 0.0900 70.0569 65.1249 131.5 122.1 130- 72.2500 0.0001 72.0801 142.5 129.9 120. 0.4900 93.5089 107.5369 152.5 160.0 110- 864.3600 341.1409 119.4649 Send data to Excel LL 130 130 140 150 160 Column sum: 1333.2000 Column sum: 962.4100 Column sum: 366.4388 Figure 1 Answer the following. (a) The least-squares regression line given above is said to be a line that "best fits" the sample data. The term "best fits" is used because the line has an…
Mr. Gotcha administers a "lie detection" test to a population of job applicants. He correctly states that, on average, his test is correct 80% of the time. The table below has to do with his study. АCTUAL Liar Truth teller Liar 160 TEST RESULT 640 Truth teller 200 800 1,000 What is the base rate of lying in the population he is studying? 40/1000 = 4% 160/1000 = 16% %3D 200/1000 = 20% %3D 160/320 = 50% %3D 640/1000 = 64%
In statistical terms how do we determine whether or not the model is significant? O The t tests and the F-tests are statistically insignificant O The F-tests are significant while the t tests are not. The t tests and the F-tests hypotheses are rejected O The standard error is low
True or false: if we want to know whether two qualitative variables with many possible outcomes are related, this is impossible to test because statistics deals with quantitative data only. a. False: we can just arbitrarily assign numbers to those outcomes and do regression b. True: we cannot safely do regression on qualitative variables in any circumstances c. False: we can conduct a chi-square test on the independence of these two variables d. True: in general, we don’t use qualitative variables in statistics
You are conducting a test of independence for the claim that there is an association between the row variable and the column variable. X Y z A 39 23 46 B 37 33 41 The expected observations for this table would be Y z A B What is the chi-square test-statistic for this data? (2 decimals) x = Report all answers accurate to two decimal places.
i need help step by step how to solve this i do not understand the process here. Conduct a hypothesis test to answer the following research question. Be sure to clearly state each step of a hypothesis in your response as well as indicating your critical regions, computing obtained statistic and drawing a conclusion. Does prenatal exposure to alcohol impact birth weight (test n = 16 newborn rats) Population Values : μ = 18 grams σ = 4 grams Sample Mean: M = 15 grams
Question 2: (a) Describe how instrumental variable (IV) regression can eliminate the bias when E(u | X)# 0, where u is a zero-mean error term and X is a regressor. (b) Explain how you would test the null hypothesis that all the instruments are irrelevant. (c) Explain how you would test statistically the assumption that the instruments are exogenous.
I need help with this question please, thanks
Please answer questions, no explanation