Your decision about ( Ho )Reject HoFail to reject H. DIRECTIONS: Round all answers to the nearest thousandth.Two new drugs are being compared for effectiveness in lowering total cholesterol levels. On the sample of 15 subjects, drug A isfound to lower total cholesterol by an average of 75 mg/dl with SS = 2025.On the sample of 10 subjects, drug B lowered the mean cholesterol level by 78 mg/dl with SS = 2005.Use a 0.01 level of significance to test the claim that the two drugs are equally effective assuming populations are normallydistributed. ( Use equal variance t procedure called pooled variance t procedure)

Given : For Sample 1 x̄1 = 75.0 s1 = √SS2/(n2-1) =12.0268 n1 = 15 For…

Answered: DIRECTIONS: Round all answers to the…

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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Two of the hottest smartphones on the market are the newly released iPhone6 and the Samsung Galaxy S6. CNet.com offers online reviews of all major cell phones, including battery life tests. In a review of the iPhone6, the talk-time battery life of 35 iPhones was measured. Similarly, the talk-time battery life of 30 Galaxy S6s was measured. Two outputs are given below. Which is appropriate for analyzing the data collected? Output 1 lhi Mean of iPhone6 Hz : Mean of Galaxy S6 Sam ple Diff. Output 2 HR = mean of the paired difference between iPhone6 and Galaxy S6 Difference Std. Err. Difference Sam ple Diff. Std. Err. H1 - Hz -0.71759861 0.189403 iPhone6 - Galaxy S6 -0.754246 0.192151 Possible p-values: 0.0001, 0.0002, 0.9999 Possible p-values: 0.0002, 0.0004, 0.9998 OOutput 1 Output 2 Using the StatCrunch output chosen above, determine if there is a difference in the mean battery life for the two phones. Use a significance level of 0.01 when conducting the test. • Select the appropriate…
Please answer question 6 and show me how to do it in excel.
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A doctor wants to estimate the mean HDL cholesterol of all 20- to 29-year-old females. How many subjects are needed to estimate the mean HDL cholesterol within 4 points with 99% confidence assuming s=16.4 based on earlier studies? Suppose the doctor would be content with 90% confidence. How does the decrease in confidence affect the sample size required? LOADING... Click the icon to view a partial table of critical values. A 99% confidence level requires nothing subjects. (Round up to the nearest subject.) A 90% confidence level requires nothing subjects. (Round up to the nearest subject.) How does the decrease in confidence affect the sample size required? A. Decreasing the confidence level decreases the sample size needed. B. Decreasing the confidence level increases the sample size needed. C. The sample size is the same for all levels of confidence.
A group of migraine headache sufferers were tracked over their lifetimes with data taken every 10 years. The scatter plot shows the number of headaches per year versus age, in years. How would you estimate the number of headaches at age 100? Question 2 options: Draw a line of best fit and interpolate. Wait until a sufficient number of subjects have reached the age of 100. Draw a line of best fit and extrapolate. Use the number from age 80 and divide by 2.
Over the past several years, the proportion of one-person households has been increasing. The Census Bureau would like to test the hypothesis that the proportion of one-person exceeds 0.27. A random sample of 125 households found that 43 consisted of one person. The census bureau would like to set a = 0.05. Use the p-value approach to test this hypothesis. Explain.
The blood pressure in millimeters was measured for a large sample of people. The average pressure is 140 mm, and the SD of the measurements is 20 mm. The histogram looks reasonably like a normal curv Use the normal curve to estimate the following percentages. Choose the answer that is closest to being correct. A 19.1% B 30.9% C 38.2% D 69.1% E 68.27% A The percentage of people with blood pressure between 130 and 150 mm. B The percentage of people with blood pressure between 140 and 150 mm. D The percentage of people with blood pressure over 150 mm.
A diabetic person is interested in determining how the amount of aerobic exercise impacts his blood sugar. When blood sugar reaches 170 mg/dl, he goes out for a run at a pace of 10 minutes per mile. On different days, he runs different distances and measures his blood sugar after completing his run. The preferred blood sugar level is in the range of 80 to120 mg/dl. Levels that are too low or too high are extremely dangerous. The data generated are given in the following table: Distance (miles),x Blood sugar(mg/dl gram),y 2 136 2 146 2.5 131 2.5 125 3 120 3 116 3.5 104 3.5 95 4 85 4 94 4.5 83 4.5 75 Based on the scenario above, analyse the data with appropriate statistical methods and describe your findings in details. Use alpha=0.05 [note: use hypothesis, test statistics confidence interval etc.] ]
A data set contains information on the grams of fat and number of calories in 25 different fast foods. The correlation coefficient between fat content and calories is determined to be -0.45. Calculate the p-value for the test of significance.
A sample of N = 9 individuals participates in a repeated measures study that produces a sample mean difference of X = 4.25 with SS = 128 for the difference scores. Is this mean difference large enough to be considered a real positive effect?
options for first to blanks : 1- between 0.05 and 0.20 /2- greater than 0.20 / 3- less than 0.2 options for last blank : 1- handrubbing with alcohol / 2- handwashing with soap
please help me fill the rest thanks

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