Practice ExerciseClassify the following random variables as discrete or continuous.1. The number of defective computers produced by a manufacturer2. The weight of newborns each year in a hospital3. The number of siblings in a family of a region4. The amount of paint utilized in a building project5. The number of dropouts in a school district for a period of 10 years6. The speed of a car7. The number of female athletes8. The time needed to finish the test9. The amount of sugar in a cup of coffee10. The number of people who are playing LOTTO each day

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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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3) What graphs can help us identify a normal distribution? a. Dotplot b. Histogram c. Boxplot d. Normal probability plot pick one a, b, c, d b, c a, b a, b, c b, d
The average worker at a local brake manufacturer produces 10 brakes per day (other statistical information was not known). An industrial psychologist was hired to increase worker productivity and a new assembly method was designed and tested in a sample of workers. Identify the appropriate test. Select one: a. independent samples t test b. z test c. single sample t test d. paired samples t test
Mean St. Dev. Distribution Males 23.5 in. 1.1 in. Normal Females 22.7 in. 1.0 in. Normal Use the data in the table for sitting adult males and females. These data are used often in the design of different seats, including aircraft seats, train seats, theater seats, and classroom seats. Find the probability that a female has a back-to-knee length between 22.0 in and 24.0 in Warning! This question is not multiple choice! You are to fill in the blank with the correct answer. Write your answer in the form 0.1234
1. The _________ shows the number of observations with values smaller than the upper class boundary.A. greater than cumulative frequencyB. less than cumulative frequency C. frequency distributionD. class mark 2. In constructing a/an , the class marks are placed on the horizontal axis, and the class frequencies are on the vertical axis. In this presentation of data, bars are of the same width and are adjacent with each other.A. ogiveB. histogramC. relative frequencyD. frequency polygon
2. In a population it is estimated that 20% have a desired trait of interest for the researcher. The researcher wants to know how many people on average he has to draw from a population to get 2 people with the trait. Use rows 20-24 of the Random Number Table to carry out the simulation. Explain clearly how you set up the problem and report your findings. Answer:
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…
← Jamison Kovach Supply Company manufactures paper clips and other office products. Although inexpensive, paper clips have provided the firm with a high margin of profitability. Sample size is 200. Results are given for the last 10 samples. Sample Defectives 1 UCL 5 = 2 7 3 2 4 6 5 6 6 5 b) Has the process been in control? Based on the developed control limits, the number of defectives has been IN-CONTROL c) If the sample size were 100 instead, how would your limits and conclusions change? 7 5 The type of control chart that is best to monitor this process is p-chart a) Establish the control limits to include 99.73% of the random variation in defectives. UCL, = 0.059 (enter your response as a number between 0 and 1, rounded to three decimal places) LCLp = 0 (enter your response as a number between 0 and 1, rounded to three decimal places) 8 5 9 2 (enter your response as a number between 0 and 1, rounded to three decimal places) 10 11
4.A college student is interested in whether there is a difference between male and female students in the amount of time they spend studying each week period the student gathers information from a random sample of male and female students on campus. The amount of time spent studying is normally distributed. The data are: Male Female 27 25 25 29 19 18 10 23 16 20 22 15 14 19 What statistical test should be done to analyze these data? Identify Ho and Ha for this study. Conduct the appropriate analysis. Should Ho be rejected? What should the researcher conclude? If significant, compute and interpret the effect size.
2a. (Data calories.txt) For this problem, focus on the random sample obtained using only treatment 1. What is the average number of calories consumed for children in this group? Use 2 decimals Hint: Don't forget to only use the subset of children that participated in meal prep aration. 2b. (Data calories.txt only using treatment 1 sample) Based on these data, obtain the standard error for the average of calories consumed by children participating in meal preparation. Enter the value using two decimals. Hint 2: The R command length() may be useful to find the appropriate sample size. 2c. (Data calories.txt only using treatment 1 sample) A researcher would like to show that children participating in meal preparation (treatment 1) consume more than 400 calories, on average. Use the results obtained in the previous two questions and obtained the test statistic. Enter it here using two decimals. 2d. (Data calories.txt only using treatment 1 sample) A researcher would like to show that…
The following table shows the distribution of murders by type of weapon for murder cases in a particular country over the past 12 years. Complete parts (a) Handgun through (e). Weapon Probability 0.478 Rifle 0.023 Shotgun Unknown firearm Knives Hands, fists, etc. Other 0.034 0.145 0.135 0.056 0.129
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