Table 1. Number of children diagnosed with ASD in each NI Health Trust during the time periods stated(per quarter year).Health TrustBelfastNorthernSouth EasternSouthernWesternTotal forNorthernIrelandQuarter toJun 2020341395424134Quarter toSept 2020253211529183Quarter toDec 2020101078412165387Quarter toMar 20214412312412771489describe the pattern of change over time in total Nl cases?Quarter toJun 20215817112517196621Quarter toJun 202110317892135101609Quarter toDec 202183225129131114682Quarter toMar 202290193111114143651

The given data is as follows: Health TrustQuarter to Jun 2020Quarter to Sep 2020Quarter to Dec…

Answered: Table 1. Number of children diagnosed…

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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Table 1 Patterns of disease in Mainland Tanzania Age group (Years) # of people Total # of deaths # of deaths gastroenteritis # of deaths respiratory disease # of deaths heart disease 00-09 5,000 40 24 8 2 10-19 6,000 70 20 10 1 20-29 5,400 84 4 4 2 30--39 5,000 40 2 2 4 40-49 4,400 40 2 6 10 50-59 5,400 70 2 14 20 60-69 6,200 90 4 12 30 70-79 3,800 180 20 40 80 80+ 3,000 240 40 50 150 Local authorities in Mainland Tanzania are concerned about the health status of its community. A review of annual health statistics shows the following pattern of diseases. What is the ratio of deaths from gastroenteritis to heart disease in the total population, and in the 0-9 and 70-79 age groups respectively? What do you notice?…
Can you assist me in answering this, please? I don't know where to begin. (this is not graded but, rather, an excersice conducive to acquisition).
We are interested in the number of years students in a particular elementary statistics class have lived in Maryland. The information in the following table is from the entire section. Number of years Frequency 7 14 16 15 20 2 21 32 1 What is the mean number of years? Please report your answer to two decimal places.
Consider that we are interested in computing the time weighted average number of cars parked in the parking garage on a Sunday in December. We start at midnight and collect the entry and exit times of cars in the garage until the following midnight as follows. Entry 12:45:00 AM Entry 1:00:00 AM Entry 3:30:00 AM Exit 5:15:00 AM Entry 7:00:00 AM Entry 8:15:00 AM Exit 8:45:00 AM Entry 10:00:00 AM Exit 10:30:00 AM Entry 2:30:00 PM Exit 4:15:00 PM Entry 6:00:00 PM Exit 7:45:00 PM Entry 9:30:00 PM Exit 11:15:00 PM What was the time weight average number of cars parked in the parking garage on that Sunday?
Millionaires. Dr. Thomas Stanley of Georgia State University has surveyed millionaires since 1973. Among other information, Stanley obtains estimates for the mean age, µ, of all U.S. millionaires.Suppose that 36 randomly selected U.S. millionaires are the following ages, in years. 31 45 79 64 48 38 39 68 52 59 68 79 42 79 53 74 66 66 71 61 52 47 39 54 67 55 71 77 64 60 75 42 69 48 57 48 Determine a 95% confidence interval for the mean age, µ, of all U.S. millionaires. Assume that the standard deviation of ages of all U.S. millionaires is 13.0 years. (Note: The mean of the data is 58.53 years.)
3. A particular report included the following table classifying 815 fatal bicycle accidents that occurred in a certain year according to the time of day the accident occurred. Time of Day Number of Accidents midnight to 3 a.m. 46 3 a.m. to 6 a.m. 52 6 a.m. to 9 a.m. 85 9 a.m. to noon 72 noon to 3 p.m. 76 3 p.m. to 6 p.m. 157 6 p.m. to 9 p.m. 192 9 p.m. to midnight 135 For purposes of this exercise, assume that these 815 bicycle accidents are a random sample of fatal bicycle accidents. Suppose a safety office proposes that bicycle fatalities are twice as likely to occur between noon and midnight as during midnight to noon and suggests the following hypothesis: Ha: p1 > 1/3, p2>2/3 Ha: p1 ≠1/33, p2=2/3 Ha: p1 =1/3,p2=2/3 Ha: H0 is not true. Ha: p1 >1/3,p2<2/3 x2=______? p-value______? State the conclusion in the problem context. Reject H0. There is convincing evidence to conclude that bicycle fatalities are not twice as likely to…
7. The following cumulative distribution characterizes length of residence for a large number of individuals in a city. Years Cumulative Probability 0-1 .115 365 535 675 1-2 2-5 5-10 10-20 20-40 .945 985 a. What is the range of median length of residence?
Please answer the photo attached
Question z Sales of a telephone answering machine for the last two ycars are given below: Year Jan Feb Mar April May Jun Jul Aug Sep Oct Nov Dec 1 180 175 180 190 195 210 220 200 198 202 195 185 2 190 180 185 198 202 215 230 210 195 196 205 190 i) Find the seasonal index for cach of the months. Need handwritten answers with proper workings
20. Draw a histogram for the following distribution and find 4 model wage and check the value by direct calculation Wages (in Rs.) 10-15 15-20 20-25 25-30 30-35 35-40 40-45 : No. of workers 60 140 110 150 12 100 90 :
A particular report included the following table classifying 816 fatal bicycle accidents that occurred in a certain year according to the time of day the accident occurred. Time of Day Number of Accidents midnight to 3 a.m. 46 3 a.m. to 6 a.m. 50 6 a.m. to 9 a.m. 85 9 a.m. to noon 72 noon to 3 p.m. 79 3 p.m. to 6 p.m. 157 6 p.m. to 9 p.m. 193 9 p.m. to midnight 134 For purposes of this exercise, assume that these 816 bicycle accidents are a random sample of fatal bicycle accidents. Do these data support the hypothesis that fatal bicycle accidents are not equally likely to occur in each of the 3-hour time periods used to construct the table? Test the relevant hypotheses using a significance level of a = 0.05. Let P1. P2: P3: P4 Ps: Pe: P7, and Pg be the proportions of accidents occurring in the eight different time periods. State the appropriate null and alternative hypotheses. O Ho: P1 = P2 = P3 = P4 = Ps = P6 = P7 = Pg = 816 H: Ho is not true. O Ho: P1 = P2 = P3 = P4 = P5 = P6 = P7 =…
Risk of Stroke (%) Age Pressure Smoker (Yes=1) 12 57 152 0 24 67 163 0 13 58 155 0 56 86 177 1 28 59 196 0 51 76 189 0 18 56 155 1 31 78 120 0 37 80 135 1 15 78 98 0 22 71 152 0 36 70 173 1 15 67 135 1 48 77 209 0 15 60 199 0 36 82 119 1 8 66 166 0 34 80 125 1 3 62 117 0 37 59 207 1 1. Interpret regression coefficient of Age (b1), Pressure (b2), and Smoker (b3), respectively. 2. The regression coefficient of Age (b1) are different in the estimated simple regression equation and estimated multiple regression equation. Can you explain why? 3. If we choose the significance level α=0.05, is the variable Smoker a significant factor in explaining the risk of a stroke? Explain.

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