Two different professors teach an introductory statistics course. The table shows thedistribution of final grades they reported. We wonder whether one of these professors isan "easier" grader. Answer parts a) and b) below.Prof. AlphaProf. BetalA6.11B.6.1412Below C114.11C....a) Find the expected counts for each cell in this table.Prof. AlphaProf. Beta(Round to two decimal places as needed.)ABBelow Cb) Test the hypothesis about the two professors, and state an appropriate conclusion. (Assume a significance level of a= 0.05)State the appropriate null and alternative hypotheses. Choose the correct answer below.O A. Ho: The grade distributions are different.HA: The grade distribution is the same for both professors.O B. Ho: The grade distribution is the same for both professors.Ha: Professor Beta gives out more C's than Professo Alpha.OC. H: The grade distribution is the same for both professors.HA: Professor Alpha gives out more A's than Professor Beta.OD. Hg: The grade distribution is the same for both professors.

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Answered: Two different professors teach an…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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QUESTION 1 Carter rolls three dice five times, and records his totals below. 9. 10 17 16 8 Carter's rolls have a mean of 12 . Use this information to answer the following. a. Complete the following table. To help blackboard check your work, only enter the answers into the boxes. The first row has been done for you as an example. data value deviation: data value - mean deviation squared -3 9 10 17 16 8. Total: b. Find the sample standard deviation. Round the final answer to the nearest thousandth.
Part I A bakery sells homemade bread by the loaf and sales are uniformly distributed between 200 and 600 loaves per day. a. Find the probability of selling 240 loaves on a given day. b. Find the probability of selling between 250 and 260 loaves per day Part II The golf balls produced by TruGolf have a mean distance of 250 meters and a variance of 625 meters. c. How large a sample of TruGolf balls should be taken if they want to estimate with 90% confidence the mean distance to within 8 meters? d A random sample of 40 balls from TruGolf are selected. Find the Bound of Error when the confidence level is 95% for TruGolf
A researcher hypothesizes that different colors of cars result in different average speeds. To test this claim, she took a random sample of 20 people who own 4 different colors of colors of cars (n = 20, N = 80, G = 4), and she then tracks their average speed on the highway for a week of driving. The following ANOVA table has some of her results. Please help her answer her research questions by completing the following ANOVA table below and answering the follow-up questions. Be sure to label your answers with the appropriate letter and show all your work! Source Sums of Squares df Mean Square F Effect (between) Error (within) 100.90 ------ Total 170.10 ------- ------ a) What is the Sums of Squares (SS) between (effect)? b) What are the Mean Square (MS) between (effect) and the MS within (error)? c) What are the degrees of freedom (df) between, the df within, and the df total? d) What is the overall F-statistic? e) Based on the…
The test for the equality of two population variances is based on which of the following? a The ratio of the two sample variances. b The difference between the two population variances. c The difference between the two sample variances. d The ratio of the population variances to the sample variances.
3. Can SAT scores predict college performance? Let x be a variable that represents SAT score of a computer science major, and let y be a variable that represents a student’s GPA upon graduation. A random sample of n =15 computer science majors provided their SAT scores and GPAs: x 1232 1070 1086 1287 1130 1048 1121 1095 1135 1208 1333 1160 1186 1243 1261 y 3.52 2.91 2.4 3.47 3.47 2.37 2.4 2.24 3.02 3.32 3.59 2.54 3.19 3.71 3.58 The scatter diagram for the SAT score and GPA is given below: (a) Find the sample correlation coefficient r. Truncate to two decimal places. What does the value tell you about the data? (b) Find the equation of the least squares line . Truncate to four decimal places. What does the slope mean? (c) Find the value of the coefficient of determination . Truncate to two decimal places. What does this number mean? (d) What is the predicted GPA if a computer science major got a…
Histograms of random sample data are often used as an indication of the shape of the underlying population distribution. The histograms on the next page are based on random samples of size 30,50 and 100 from the same population. a. Using the midpoint labels of the three histograms, what would you say about the estimated range of population data from smallest to largest? Does the bulk of the data seem to be between 8 and 12 all in three histograms? b. The population distribution from which the samples were drawn is symmetric and mound shaped, with the top of the mound at 10,95% of the data between 8 and 12, and 99.7% of data between 7 and 13. How well does each histogram reflect these characteristics?
Bill Alther is a zoologist who studies Anna's hummingbird (Calypte anna). (Reference: Hummingbirds, K. Long, W. Alther.) Suppose that in a remote part of the Grand Canyon, a random sample of six of these birds was caught, weighed, and released. The weights (in grams) were as follows. 3.7 2.9 3.8 4.2 4.8 3.1 The sample mean is = 3.75 grams. Let x be a random variable representing weights of hummingbirds in this part of the Grand Canyon. We assume that x has a normal distribution and σ = 0.64 gram. Suppose it is known that for the population of all Anna's hummingbirds, the mean weight is μ = 4.30 grams. Do the data indicate that the mean weight of these birds in this part of the Grand Canyon is less than 4.30 grams? Use ? = 0.10. (a) What is the level of significance? (Enter a number.) State the null and alternate hypotheses. Will you use a left-tailed, right-tailed, or two-tailed test? H0: μ = 4.3 g; H1: μ > 4.3 g; right-tailed H0: μ < 4.3 g; H1: μ = 4.3 g; left-tailed…
Mr Alsup asked the studentS in his third-and sixth-period English classes whether they had chosen a topic for thier writing assignment. he recorded the data in a two-way table, as shown below English class Yes No Total Third period 24 6 30 Sixth period 22 3 25 Total 46 9 55 if jannette in in mr alsup sixth-period english class what is the probablity that she has not chosen a topic for her writing assignment? a- 3% b- 5% c- 12% d-14%
When a student performs poorly on a midterm exam, the student sometimes is convinced that their score is an anomaly and that they will do much better on the final exam. The data below show the midterm and final scores (out of 100 points) for eight students in an introductory statistics class. Student Midterm Final 1 70 88 2 58 52 3 85 84 4 82 74 5 70 80 40 36 7 85 48 8 85 96 a) Construct a scatterplot for the data. Describe the pattern that you see in the scatterplot. Are there any clusters or outliers? If so, how would you explain them? b) Calculate the regression line for predicting a student's score on the final exam based on the student's score on the midterm.
A study was conducted to examine the impact of speaking in public on college students. A class of 15 students participated in the study. At the beginning of a lecture the students recorded their systolic blood pressure. During the lecture the instructor called on each student to stand and answer questions about topics in the lecture. After speaking the students once again recorded their blood pressure. The resulting values are given below along with summary statistics. We are interested if the blood pressure increased because of speaking. Provide the test statistic value in the box below. Use 3 decimal places. Mean SD Before 125.3 15.03 After 127.9 15.5 Difference (Before - After) -2.6 14.87
Chapter 13 Assignment Hint(s) Check My Work 13 remaining) 2. To study the effect of temperature on yield in a chemical process, fve batches were produced at cach of three temperature levels. The results follow. 4. Temperature 5. 50°C 70°C 34 33 22 6. 24 34 27 36 37 27 39 26 29 32 30 30 Construct an analysis of variance table (to 2 dedmais but p-value to 4 decimals, if necessery). Source of Varlation Sum of Squares Degrees of Freedom Mean Square p-value Truatments Error Total 14 Use a 0.06 level of significonce to best whether the tempereture kvel hes an effect on the mean yiekd of the process. Calcu ate the value of the test stacistic (to 2 decimals). The p-value is batwoon D.01 and 0.02s What is your condlusion? De not reject the unptien thwt the men yieldu for the three bernperstures eequw
Citation Machine. 8 Healthcare Spendin. Otr A random sample of 10 temperatures in degrees Fahrenheit ('F) were drawn from April in Portland, OR. The data is shown below. Round your answer to 4 decimal places. Use technology, do not calculate the values by hand. ments Temperatue 117.6 133.5 98.2 127.3 ns 133.5 102.2 133.5 104.4 College Resources 118.6 110.6 Services Find s: Find 7: 117 9625 % of temperatures will fall between According to Chebyshev's Inequality: At least what 80.9509 F and 154.9291 F? Submit Question ! 71°F ere to search

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