4 Student Assignment | LCS Learni XD CASPA | Program Search Section xcers.lc?operation=loggedln&token=D1ZSZbgltT5ljq78iAwN7xHbZxF1LJxujMIlk9gzlnjA6W6ILBThdrRx8a8LiyG7Yc&classld3248630..1. A patient is classified as having gestational diabetes if their glucose level is above 140 milligrams per deciliter (mg/dl) one hour after a sugary drinkis ingested. Rebecca's doctor is concerned that she may suffer from gestational diabetes. There is variation both in the actual glucose level and in theblood test that measures the level. Rebecca's measured glucose level one hour after ingesting the sugary drink varies according to the Normaldistribution with u- 140+# mg/dl and o = #+1 mg/dl, where # is the last digit of your GCU student ID number. What is the probability of Rebecca beingdiagnosed with gestational diabetes if her glucose level is measured:a. Once?b. n=#+2 times, where # is the last digit of your student ID?c. n-#+4 times, where # is the last digit of your student ID?Comment on the relationship between the probabilities observed in (a), (b), and (c). Explain, using concepts from lecture why this occurs and what itmeans in context.2. Suppose next that we have even less knowledge of our patient, and we are only given the accuracy of the blood test and prevalence of the disease inour population. We are told that the blood test is 9X percent reliable, gestational diabetes affects X+1 percent of the population in our patient's agegroup, and that our test has a false positive rate of X+4 percent. Compute the following quantities based on this new information:a. If 100,000 people take the blood test, how many people that test positive will actually have gestational diabetes?b. What is the probability of having the disease given that you test positive?c. If 100,000 people take the blood test, how many people that test negative despite actually having gestational diabetes?d. What is the probability of having the disease given that you tested negative?Comment on what you observe in the above computations. How does the prevalence of the disease affect whether the test can be trusted?3. As we have seen in class, hypothesis testing, and confidence intervals are the most common inferential tools used in statístics. Imagine that you havebeen tasked with designing an experiment to determine reliably if a patient should be diagnosed with diabetes based on their blood test results. Createa short outline of your experiment, including all the following:a. A detailed discussion of your experimental design. Detailed experimental design should include the type of experiment, how you chose your samplesize, what data is being collected, and how you would collect that data.b. How is randomization used in your sampling or assignment strategy? Remember to discuss how you would randomize for sampling and assignment,what type of randomization are you using?c. The type of inferential test utilized in your experiment. Include type of test used, number of tails, and a justification for this choice.d. A formal statement of the null and alternative hypothesis for your test. Make sure to include correct statistical notation for the formal null andalternative, do not just state this in words.e. A confidence interval for estimating the parameter in your test. State and discuss your chosen confidence level, why this is appropriate, andinterpret the lower and upper limits.f. An interpretation of your p-value and confidence interval, including what they mean in the context of your experimental design. Answer each partbelow. State your significance level, interpret your p-value, and make a decision on the null.This assignment uses a rubric and it should be reviewed before submission to ensure all expectations are being met.APA style is not required, but solid academic writing is expected.You are not required to submit this assignment to LopesWrite.Sep 23, 2021 7:11:39 PM Mountain Standard TimeE-mail -BookamazonB75°F Mostly clearRE

Hi! Thank you for the question As per the honour code, We’ll answer the first question since the…

Answered: 1. A patient is classified as having…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

To check the effect of hot temperatures on the elasticity of two brands of rubber bands, one box of Brand A and one box of Brand B rubber bands are tested. Ten bands from the Brand A box are placed in a warm car in the sun for two hours and ten bands from the Brand B box are kept at room temperature. The amount of stretch before the breakage is measured on each rubber band, and the mean for the hot bands is compared to the mean for the others. Is this a good experimental design? No, because No, because temperature is confounded No, because No, because the means are more than two more not proper Yes brands should temperatures should be used. statistics for be used. with brand. comparison.
In North America, between 100 million and 1 billion birds die each year by crashing into windows on buildings, more than any other human-related cause. This figure represents up to 5% of all birds in the area. One possible solution is to construct windows angled downward slightly, so that they reflect the ground rather than an image of the sky to a flying bird. An experiment by Klem et al. (2004) compared the number of birds that died as a result of vertical windows, windows angled 20 degrees off vertical, and windows angled 40 degrees off vertical. The angles were randomly assigned with equal probability to six windows and changed daily; assume for this exercise that windows and window locations were identical in every respect except angle. Over the course of the experiment, 30 birds were killed by windows in the vertical orientation, 15 were killed by windows set at 20 degrees off vertical, and 8 were killed by windows set at 40 degrees off vertical. . Clearly state an appropriate…
Paul is conducting an experiment to relate fuel economy (MPG) with the amount of CO2 (grams/mile). Paul conducted an experiment on 12 different vehicle owners. Table below presents the fuel economy and CO2 emitted. Fuel economy Vs. CO2 emissions. Fuel Economy CO, emissions(g/mi) 314 (MPG) 29.2 26.5 324 28.5 312 28.1 317 28 316 24.1 344 26.1 352 25 356 23.4 381 22.8 389 22.2 399 1) Obtain a linear regression equation line for the data 2) Predict the CO emissions when the fuel economy is 24 MPG
Researchers often rely on surveys to capture a subjective assessment of well-being. One study finds that holding everything else constant, people seem to be least happy when they are in their 40's. Another study suggests that money does buy happiness, but its effects diminishes as income rises above $75000 a year. The accompanying data file includes survey daa of 100 working adults' self-assessed happiness on a scale of ) to 100, along with their age and annual income. Estimate and interpret a regression model based on Age, Age 2 and income. Predict happiness with income equal = to $80000 and age equal to 30, 45, and 60 Years Predict happiness with Age equal = to 60 and income equal to 25,000, 75000, and 125000 Happiness Age Income 69 49 52000 83 47 123000 86 72 112000 73 52 166000 89 68 90000 81 37 152000 75 48 58000 56 48 50000 75 56 93000 57 51 27000 77 60 173000 83 55 173000 85 75 68000 82 69 157000 63 39 40000 70 66 107000 78 34 109000 53…
According to the CDC, cholesterol levels can be reduced by following a healthy diet, getting regular exercise, and reducing the amount of alcohol consumed on a weekly basis. One method of monitoring overall cholesterol levels is to calculate your cholesterol ratio (LDL/HDL), in general a cholesterol ratio between 3.5 and 5.0 is considered to be healthy for most adults. Suppose you are a clinical researcher testing the effects of these lifestyle changes on patient cholesterol levels. In order to determine if following these guidelines helps to reduce overall cholesterol, a total of 18 participants (N = 18) with moderate to high cholesterol ratios (i.e., 3.91 to > 5.0) were recruited for a healthy lifestyle study and their cholesterol ratio was calculated three times over a six week period: Week 0 (baseline), Week 3, and Week 6. Using the variables "Week 0", "Week 3", and "Week 6" in the data set, conduct a One-Way, Within Subjects (AKA Repeated Measures) ANOVA, at α = 0.05, to see…
According to the CDC, cholesterol levels can be reduced by following a healthy diet, getting regular exercise, and reducing the amount of alcohol consumed on a weekly basis. One method of monitoring overall cholesterol levels is to calculate your cholesterol ratio (LDL/HDL), in general a cholesterol ratio between 3.5 and 5.0 is considered to be healthy for most adults. Suppose you are a clinical researcher testing the effects of these lifestyle changes on patient cholesterol levels. In order to determine if following these guidelines helps to reduce overall cholesterol, a total of 18 participants (N = 18) with moderate to high cholesterol ratios (i.e., 3.91 to > 5.0) were recruited for a healthy lifestyle study and their cholesterol ratio was calculated three times over a six week period: Week 0 (baseline), Week 3, and Week 6. Using the variables "Week 0", "Week 3", and "Week 6" in the data set, conduct a One-Way, Within Subjects (AKA Repeated Measures) ANOVA, at α = 0.05, to see…
For healthy adults, the mean pH level is µ = 7.4, a new drug for arthritis has been developed. However, it is thought that this drug may change blood pH. A random sample of 33 patients with arthritis took the drug for three months. Blood tests showed that the sample mean from these 33 patients was a pH of 8.0 and it is known that o = 2.3. (Note, there is no unit for this type of data). Use a = 0.05 level of significance to test the claim that the drug has increased the mean pH level of the blood. If we use the classical approach, what would the criterion (step 3) be? O -1.645 or less O -2.33 or less 1.645 or more O 2.33 or more
In North America, between 100 million and 1 billion birds die each year by crashing into windows on buildings, more than any other human-related cause. This figure represents up to 5% of all birds in the area. One possible solution is to construct windows angled downward slightly so that they reflect the ground rather than an image of the sky to a flying bird. An experiment by Klem et al. (2004) compared the number of birds that died as a result of vertical windows, windows angled 20 degrees off vertical, and windows angled 40 degrees off vertical. The angles were randomly assigned with equal probability to six windows and changed daily; assume for this exercise that windows and window locations were identical in every respect except angle. Over the course of the experiment, 30 birds were killed by windows in the vertical orientation, 15 were killed by windows set at 20 degrees off vertical, and 8 were killed by windows set at 40 degrees off vertical. a. Clearly state an appropriate…
. 1 A city recorded 3790 births and 1257 deaths in 2020. The city’s population was 183000. What was the crude death rate for the city in 2020. Q. 2 Among a total of 200 patients with disease A, 20 of them died from the same disease within 30 days. Find the 30-day case fatality rate.
Leo used an analog sensor to measure the temperature of his solar panels. After the experiment, he wants to process the data he obtained. Is he allowed to describe the data by using the measures of central tendency? No, because the data he gathered is qualitative in nature. Yes, because the data he gathered is quantitative in nature. No, because the data the gathered is quantitative in nature. Yes, because the data he gathered is qualitative in nature.
The time data is therefore the (Chebyshev's Rule, Empirical Rule) says we should expect of the time data to be minutes.
Algal blooms can have negative effects on an ecosystem by dominating its phytoplankton communities. Gonyostomum semen is a nuisance alga infesting many parts of northern Europe. Could the overall biomass of G. semen be controlled by grazing zooplankton species? A research team examined the relationship between the net growth rate of G. semen and the number of Daphnia magna grazers introduced in test tubes. Net growth rate was computed by comparing the initial and ﬁnal abundance of G. semen in the experiment, with a negative value indicative of a decrease in abundance. The table contains the findings. Number of D. magnagrazers 1 2 3 4 5 6 Net growth rate of G. semen -1.9 -2.5 -2.2 -3.9 -4.1 -4.3 Find the correlation, ?. Use decimal notation. (Enter your answer rounded to three decimal places.)

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS