2. The nursing supervisor in a local health department wished to study the in-fluence of time of day on length of home visits by the nursing staff. It wasthought that individual differences among nurses might be large, so the nursewas used as a blocking factor. The nursing supervisor collected the followingdata:NurseEarlyMorning Morning AfternoonLateEarlyLateAfternoonA27283023В313027203538343020182014Do these data provide sufficient evidence to indicate a difference in length ofhome visit among the different times of day? Let a = 0.05.

Answered: 2. The nursing supervisor in a local…

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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A firm must decide between two different suppliers of lightbulbs. Management has decided to order from supplier A unless it can be proven that the mean lifetime of lightbulbs from supplier Bis superior. A test of 28 lightbulbs from A and 32 lightbulbs from B yielded the following data as to the number of hours of use given by each lightbulb: a 121 76 88 103 96 89 100 112 105 101 92 98 87 75 111 118 121 96 93 |82 105 78 84 96 103 119 85 84 b 127 133 87 91 81 122 115 | 107 109 89 82 90 81 104 | 109 110 106 85 93 90 100 122 117 109 98 94 103 107 101 99 112 90 Is there a significant difference between the two suppliers? Explain.
Mr. Acosta, a sodiologist, is doing a study to see ifr there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age 18-23 yr 24-29 yr Drama 15 34 Science Fiction 14 10 6 30 6. Movie 30-35 vr Row Total Comedy 10 | Column Total 9 10 29 31 93 32 30 A USE SALT new window for the SALT program (a) What is the level of arymLaner State the null and alternate hypotheses. OH: Age and movie preference are not independent H,: Age and movie preference are not independent. O H: Age and movie preference are independent. H,: Age and movie preference are independent. OH: Age and movie preference are not independent. H,: Age and movie preference are independent. O H: Age and movie preference are independent. H.: Age and movie preference are not independent. (b) Find the value of the chi-square statistic…
40 30 20 10 0 00 : 00000 -1.00 00000 -0.75 3. A statistics student seeking part-time employment as a New York City cab driver is trying to decide between driving a yellow cab or a green cab and examines tip amounts to help in making the decision. Using data from the New York City Taxi & Limousine Commission (http:// www.nyc.gov/html/tlc/html/about/trip_record_data.shtml), the stu- dent examines tip amounts from 25 randomly selected green cab fares and tip amounts from 25 randomly selected yellow cab fares. Graphs and summary statistics of the sample data from green cabs (G) and yellow cabs (Y) are shown. Green Cab ooooooooo000 Yellow Cab oooooooooooo 우1 -0.50 88.8. COCO 2 - 3 -0.25 4 5 Amount of Trip 0.go null = 0 Source: http://www.nyc.gov/html/tlc/html/about/trip_record_data.shtml Because each sample includes outliers, a two-sample t-test for H₁ a difference in means is not appropriate to test the hypotheses: Ho: MG My = 0, Ha:MG My # 0. The student simulates a distri- µy bution of…
A community may be considered sociologically healthier the more variability there is in its housing values (up to a point). A major newspaper in one city investigated housing costs in several communities in its area and is running a story on its findings. For one of the communities, a random sample of 60 houses was examined, and the current market price of each house was determined. The newspaper published the following histogram summarizing these 60 prices. 20 15 10 5 0 Frequency 12 16 20 8 4 80 120 160 200 240 280 Current market price (in thousands of dollars) Based on this histogram, estimate the standard deviation of the sample of 60 prices. Carry your intermediate computations to at least four decimal places, and round your answer to at least one decimal place.
A health educator wants to evaluate the effect of a dental film on the frequency with which children brush their teeth. A random selection of 8 children is used for the experiment. First, a baseline of the number of times the children brush their teeth over a month’s period is established. Next, the children are shown the dental film and again the number of teeth brushings are recorded for a month. The following data are recorded: Subject 1 2 3 4 5 6 7 8 After Film 28 29 25 30 25 27 28 24 Baseline 25 28 22 30 26 24 25 22 What is the nondirectional alternative hypothesis? df = ∑ D2 = __ Dobt = µD = SSD =
Do E) i ii & iii please
A mathematics placement test is given to all entering freshmen at a small college. A student who receives a grade below 35 is denied admission to the regular mathematics course and placed in a remedial class. A study about the correlation between the placement scores and the final course grade is being written and the placement test scores and final grades for a group of students who took the regular course were recorded as follows: Placement Course Test Grade 50 53 35 41 35 61 40 56 55 68 65 36 35 11 60 70 90 79 35 59 90 54 80 91 60 48 60 71 60 71 40 47 55 53 50 68 65 57 50 79 Is there a significant relationship between the score on the placement test and the course grade of the students? Use 5% level of significance. (Show complete proof/steps with conclusion in statement form)
1) a.What is/are the appropriate measure(s) of central tendency for each of the variables in Columns B-F? Explain your answers in no more than two sentences each. b. Calculate the measures of central tendencies above c. Imagine that a 21st run is added to your dataset. See the table below for its data Run Eth. Gly. Acid. Temp pH 21 18.2 7.2 2.1 18 4.2 d. Do these data points change your choices of central tendency reported in Question 2b? Explain your answer. Attached dataset; a b c d e f Run Ethanol Glycerol Acidity Temp pH 1 4.8 3.5 0.84 24 3.8 2 9.6 7.3 0.27 24 3.8 3 10.2 7.2 0.27 24 3.8 4 8.5 5.1 0.55 24 3.8 5 7.3 3.2 0.68 24 3.1272 6 4.8 1.2 1.24 30 4.2 7 7.9 4.4 0.65 18 3.4 8 6.7 4.3 0.65 30 3.4 9 9.8 6.9 0.47 24 3.8 10 10.2 7.2 0.32 24 3.8 11 9.8 5.8 0.51 24 3.8 12 10.2 7.5 0.28 24 3.8 13 8.2 5.1 0.49 18 4.2 14 7.1 3.9 0.6 18 3.4 15 8.2 4.8 0.46 13.908 3.8 16 5.6 3.3…
The variables in this dataset are as follows: Weight (weight of the respondent), Race (race of the respondent), HAPMAR (happiness with marriage), and AreaCode (area code). 1. What is the scale of measurement of these four different variables?
I need help with 7, 8 and 9
2) Kate works as a manager at a call center. She wants to observe how waiting times of customers to be assigned with a representative show variation so that she can schedule the working hours of employees accordingly. Her claim is that variance between waiting times is no more than 60 minutes. She keeps track of waiting times for 22 customers which are given below: 35 29 12 35 16 28 37 13. 14 38 15 39 23 26 29 16 19 23 15 25 17 28 Kate wants to find the smallest Type 1 error probability that allows her to reject Ho. Define an interval for such Type 1 error probability.
A graphing calculator is recommended.The following table lists the number of pages in four different types of magazines. Home decorating News Health Computer 175 89 85 104 287 95 157 139 165 123 91 98 209 107 106 209 199 101 97 147 Using a significance level of 5%, test the hypothesis that the four magazine types have the same average length. (Let 1 = Home decorating, 2 = News, 3 = Health and 4 = Computer.) 1.)Enter an exact number as an integer, fraction, or decimal.df(num) = 2.) Enter an exact number as an integer, fraction, or decimal.df(denom) = 3.)What is the test statistic? (Round your answer to two decimal places.) 4.)What is the p-value? (Round your answer to four decimal places.) 5.)(i) Alpha (Enter an exact number as an integer, fraction, or decimal.)? =

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