An auditor for a local court system is tasked with comparing the rulings of two judges. The auditor needs to determine if Judge Hughes issues shorter sentences thanJudge Wilson. The data below are the sentence lengths, in months, issued by each judge in their last twelve cases that dealt with operating a motor vehicle without alicense. Test the claim that Judge Hughes issues shorter sentences than Judge Wilson for this particular type of case at the 0.05 level of significance. Let Judge Hughes'sentences be Population 1 and let Judge Wilson's sentences be Population 2. Assume that both populations are approximately normal and that the population variancesare equal.Judge 24 12 12 30 36 30 12 18 24 12 24 30HughesJudgeWilson36 36 24 24 24 24 18 12 30 24 18 30Step 3 of 3: Draw a conclusion and interpret the decision.Copy Data

The objective of this question is to test the claim that Judge Hughes issues shorter sentences than…

Answered: An auditor for a local court system is…

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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Please answers questions a through d. Thank you!
We asked UST employees to tell us how many megabytes of memory (RAM) they have on their computer. WWe would like to test to see if the mean amount of memory is the same for three different academic departments. We have the memory amounts for six faculty members' machines in the three departments shown below. Dept. 1 Dept. 2 Dept. 3 1 2048 4096 4096 2 2048 2048 4096 3. 2048 2048 8192 computer 4 2048 4096 8192 2048 2048 4096 6. 2048 8192 4096 Here is the ANOVA table: Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Factor 34952533 17476267 XXX 0.020 Error XX 51030699 3402047 Total XX 85983232 Calculate the value of the F test statistic and enter here:
fill blanks underlines.
A certain statistics instructor participates in triathlons. The accompanying table lists times (in minutes and seconds) he recorded while riding a bicycle for five laps through each mile of a 3-mile loop. Use a 0.05 significance level to test the claim that it takes the same time to ride each of the miles. Does one of the miles appear to have a hill? LOADING... Click the icon to view the data table of the riding times. Question content area bottom Part 1 Determine the null and alternative hypotheses. H0: ▼ mu 1 greater than mu 2 greater than mu 3μ1>μ2>μ3 mu 1 not equals mu 2 not equals mu 3μ1≠μ2≠μ3 Exactly two of the population means are different from each other.Exactly two of the population means are different from each other. At least one of the three population means is different from the others.At least one of the three population means is different from the others. mu 1 equals mu 2 equals mu 3μ1=μ2=μ3 H1: ▼ mu 1 greater than mu 2…
We asked UST employees to tell us how many megabytes of memory (RAM) they have on their computer. We would like to test to see if the mean amount of memory is the same for three different academic departments. We have the memory amounts for six faculty members' machines in the three departments shown below. Dept. 1 Dept. 2 Dept. 3 1 2048 4096 4096 2 1024 2048 4096 3 1024 2048 8192 computer 4 2048 4096 8192 5 1024 2048 4096 6 2048 8192 2048 Here is the ANOVA table: Source DF Adj SS Adj MS F-Value P-Value Factor x 39263346 19631673 x.xx 0.025 Error xx 61691221 4112748 Total xx…
We asked UST employees to tell us how many megabytes of memory (RAM) they have on their computer. We would like to test to see if the mean amount of memory is the same for three different academic departments. We have the memory amounts for six faculty members' machines in the three departments shown below. Dept. 1 Dept. 2 Dept. 3 1 4096 4096 4096 2 4096 2048 4096 4096 2048 8192 computer 4 8192 4096 8192 4096 2048 4096 6. 2048 8192 2048 Here is the ANOVA table: Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Factor 5592405 2796203 XXX 0.604 Error XX 80390827 5359388 Total XX 85983232 Calculate the number of degrees of freedom Error. 3.
Summary: This study aimed to determine whether exposure to Artificial Light At Night (ALAN) while sleeping is associated with the prevalence and risk of obesity, as previous research has shown a link between short sleep and obesity. The study involved analyzing data from 43,722 women aged 35 to 74 years in the US who had no history of cancer or cardiovascular disease and were not shift workers, daytime sleepers, or pregnant. The women reported their ALAN exposure at enrollment, and the data were analyzed from 2017 to 2018. ALAN exposure was categorized as 'No ALAN Exposure', and 'Any ALAN Exposure' (small nightlight, light outside the room, and light or television in the room). The presence of obesity was determined based on the measurement of general obesity, defined as having a body mass index (BMI) (calculated as weight in kilograms divided by height in meters squared) of 30.0 or higher. Research Question: Is artificial light at night while sleeping associated with obesity? Results:…
A statistics content developer at Aplia wanted to know whether study skills are related to memory quality. She invited student volunteers to perform an online memory task. The students saw a list of 60 words and were then asked to recognize a list of 10 words that were on the original list. Students were also asked to provide their GPAs. Consider the following data set, which was collected from student volunteers in 2009. The table gives the frequency for five intervals of scores on the number of correctly identified words. Use the dropdown menus to complete the table by filling in the missing values for the proportions and percentages. Score Interval f Proportion Percentage 9–10 29 0.19 19% 7–8 53 5–6 50 3–4 22 0.14 14% 1–2 1 0.01 1%
A researcher is looking into the price of round trip airline tickets between LA and NY. The five number summary for the data sets provided below: 1. 240 2.$3753.$ 450 4. $657 5. $890 Complete the following: 1. Interpret the value of the third quartile in a contextualized sentence: Blank (answer options: 25%, 50%, at least 50, at least 25, at least 75, 75%) of _(answer iptions: airline tickets, round trip airline tockets between LA and NY, the price of an airline ticket between Ny and La) are priced_(375 or less, 657, 450, 375, 657, 450) 2. Determine if a ticker priced at 1200 would be an outlier. A ticker priced at 1200 ( answer options: would, eould not) be considered an iutlier because 1200 is (within, not within)_(the interval 93 and 939, the interval -48 and 1080, within 3 sd's of the mean, two standard deviations of the mean)
The Department of the Census provides the following data table. single married widowed divorced total Male .129 .298 .013 .040 .48 Female .305 .057 .054 .52 Total .233 .603 .070 .094 1.0 a) Fill in the missing word for each of the totals. (What is being totaled in each column/row?) b) Find P(Widowed and Male). = .013 c) Find P(Widowed)=.070 d) Find P(Married or Female). Write out the formula you use so I know that you know what you are doing. e) Find P(Widowed and Divorced). Explain your answer. f) Are Divorced and Male Mutually Exclusive events. Why or why not?
We asked UST employees to tell us how many megabytes of memory (RAM) they have on their computer. We would like to test to see if the mean amount of memory is the same for three different academic departments. We have the memory amounts for six faculty members' machines in the three departments shown below. Dept. 1 Dept. 2 Dept.3 1 2048 4096 4096 1024 2048 4096 3. 1024 2048 8192 computer 4 2048 4096 8192 1024 2048 4096 2048 8192 2048 Here is the ANOVA table: Source DF Adj SS Adj MS F-Value P-Value Factor x 39263346 19631673 x.xX 0.025 Error xx 61691221 4112748 Total XX 100954567 After ANOVA, assume that we want to do all of the pairwise comparisons between the means in this case. Tukey Pairwise Comparisons: Grouping Information Using the Tukey Method and
3. Consider a data set for which the "individuals" are restaurants in King County, Washington. a. Create a categorical variable that could be used to describe an individual restaurant in this data set. b. Create a quantitative variable that could be used to describe an individual restaurant in this data set and clearly state what units your variable would have.

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