Many tests that purport to measure intelligence are timed. The decision of how much time to allow for such a test often is made after examination of samples of times for completion of practice versions of the test. Below is a histogram summarizing 64 such times for completion for one type of test.**Graph Description:**- The histogram illustrates the distribution of time for completion in minutes.- The x-axis represents the "Time for completion (in minutes)" with intervals: 8, 12, 16, 20, 24, 28.- The y-axis represents the "Frequency" with values ranging from 0 to 35.- The intervals correspond to the following frequencies: - 8 to 12 minutes: 4 - 12 to 16 minutes: 4 - 16 to 20 minutes: 20 - 20 to 24 minutes: 28 - 24 to 28 minutes: 8Based on this histogram, estimate the standard deviation of the sample of 64 times.Carry your intermediate computations to at least four decimal places, and round your answer to at least one decimal place.(If necessary, consult a list of formulas.)

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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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South Dakota prices vary $350,000: $400,000:$400,000:$425,000:$429,000: $440,000: $560,000: $585,000,: $585,000: $785,000 : $1,300,000. We found the following Mean = 569000 SD = 272703.1353 T score = .7113 P Value = .4932 We failed to reject the hypothesis. What is a 95% confidence interval and how would you create one for the population average price? What would it look like. How does this related to Central limit therorem? If you had a margin of error of $13,000 how large of sample would you need with a 90% confidence interval using the given tscore.
The Department of Motor Vehicles office tried a new customer service system after people complained they were wasting too much time waiting in line. Use the two relative frequency histograms to answer the following questions. Waiting Times at the DMV (OLD SYSTEM) Waiting Times at the DMV (NEW SYSTEM) 50 8 40- 8 Percent 8 10 0 0 5 10 15 20 Time Waited OLD (in minutes) 8% 60% 50% 25 30 Percent 50 40 8 O 10 0 0 T 20 15 Time Waited (in minutes) 5 10 25 30 About what percent of customers waited fewer than 10 minutes under the old system?
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please show working out. Thank you A University has put in place a 4 week course of lunchtime exercise breaks for its staff to see if its employees’ job satisfaction can be improved. To measure the effectiveness of this program, 10 randomly selected staff in the program were surveyed about their feelings at work, once at the start of the program and again after the course. Higher scores indicate higher satisfaction. The job satisfaction index results for this group were: Staff 1 2 3 4 5 6 7 8 9 10 Before 34 28 29 45 26 27 24 15 15 27 After 33 31 36 46 32 34 28 26 19 37 Use a test of significance at 5% level to decide if the program has improved the employee’s job satisfaction on average. Show your graphical evidence, if needed, and clear conclusion. - please sketch the curve as well. thank you
The following set of data represents the number of orders filled by a national-chain restaurant during a two week period. Construct a five number summary for the the data. 66, 75, 68, 89, 86, 73, 67, 75, 75, 82, 85, 74, 67, 61 (Round to the nearest hundredth, if needed). Min _________________ Lower Quartile _________________ Median __________________ Upper Quartile _________________ Maximum __________________ What is the range and the interquartile range (IQR)? Range __________________ Interquartile Range (IQR) ___________________
A number of attendees at a sporting event were asked their age. The results are depicted in the histogram below. According to the histogram, what percentage of individu- als surveyed are older than 14 but younger than 20? 30 25 25 20 18 15 12 10-14 15-19 20-24 25-29 20
Find the 5 number summary for the data shown 5.4 7 9.2 13.8 19.9 21.9 23.3 26.1 5 number summary: Use the Locator/Percentile method described in your book, not your calculator. Submit Question E
You want to compare differences in prior arrests across ethnicity in your study, you measured ethnicity as white =0 black =1 hispanic=2, and other =3. Prior arrests was recorded as the number of prior arrests. which test would you perform to see if arrests differ across diffrent ethnic categories? A. ANOVA B. T-test
What is the inter-quartile range for the following data? You must show work. 27, 29, 29, 30, 24, 25, 27, 27, 4, 8, 17, 23,
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