1) One-sample t-test. A dietician is interested in observing if there is a relationshipbetween caffeine intake from energy drink consumption and completing a specificcognitive task. He collects data to determine whether the amount of time to complete thecognitive task (u= 5mins) is significantly different to the time it takes after drinkingGFuel, an energy drink with a source of caffeine. Test with a = 0.05.Data: 3, 5, 4, 5, 4, 3a. Conduct a complete hypothesis testb. Construct an 95% confidence intervalc. Interpret your confidence intervald. Give a full APA-style write up of your resultse. Do you have to consider a Type I error or a Type II error? Explain 2) Independent samples t-test. A team of psychologists is testing whether the time of dayimpacts reaction time. For the experiment, there are two groups created: Group 1 (n = 21)will take a test for reaction time in the morning and Group 2 (n = 21) will take a test forreaction time in the evening. Group 1 had a mean reaction time of M = 22 seconds withSS = 276 and Group 2 had a mean reaction time of M = 28 seconds with SS = 221. Canthe team of psychologists conclude that there is a significant difference in the mean%3D%3Dreaction times? Test with a = 0.05.a. Conduct a complete hypothesis testb. Compute estimated dc. Give a full APA-style write up of your resultsd. Do you have to consider a Type I error or a Type II error? Explain

Name: 1) One-sample t-test. A dietician is interested in observing if there
Uploaded: 2024-03-20T07:07:37.000Z
Channel: Bartleby
Description: 1) One-sample t-test. A dietician is interested in observing if there is a relationshipbetween caffeine intake from energy drink consumption and completing a specificcognitive task. He collects data to determine whether the amount of time to complet

Hi! Thank you for the question, As per the honor code, we are allowed to answer one question at a…

Math

Statistics

1) One-sample t-test. A dietician is interested in observing if there is a relationship between caffeine intake from energy drink consumption and completing a specific cognitive task. He collects data to determine whether the amount of time to complete the cognitive task (5mins) is significantly different to the time it takes after drinking GFuel, an energy drink with a source of caffeine. Test with a = 0.05. Data: 3, 5, 4, 5, 4, 3 a. Conduct a complete hypothesis test b. Construct an 95% confidence interval c. Interpret your confidence interval

1) One-sample t-test. A dietician is interested in observing if there is a relationship between caffeine intake from energy drink consumption and completing a specific cognitive task. He collects data to determine whether the amount of time to complete the cognitive task (5mins) is significantly different to the time it takes after drinking GFuel, an energy drink with a source of caffeine. Test with a = 0.05. Data: 3, 5, 4, 5, 4, 3 a. Conduct a complete hypothesis test b. Construct an 95% confidence interval c. Interpret your confidence interval

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

Claim: The mean systolic blood pressure of all healthy adults is less than 122 mm Hg. Sample data: For 269 healthy adults, the mean systolic blood pressure level is 121.74 mm Hg and the standard deviation is 15.02 mm Hg. Complete parts (a) and (b). a. Express the original claim in symbolic form. Let the parameter represent a value with respect to systolic blood pressure of a healthy adult.
Don't use excel please
Data was collected for a sample of organic snacks. The amount of sugar (in mg) in each snack İS summarized in the histogram below. 12 10 8 4 140 142 144 146 148 150 152 154 amount of sugar (mg) What Is the sample size for this data set? 2.
find the Q3 (third quartile) position :for a some data with n=30 is
he level of cretaine phosphokinase (CPK) in blood samples measures the amount of muscle damage for athletes. At Jock State University, the level of CPK was determined for each of 25 football players and 15 soccer players before and after practice. The two groups of athletes are trained independently. The data summary is as follows : For football players: Data for Football players n=25 Before Practice After Practice Difference (Before-After) Mean 254.73 225.6 29.13 Standard deviation 115.5 132.6 21.00 For soccer players: Data for Soccer players n=15 Before Practice After Practice Difference (Before-After) Mean 177.1 173.8 3.3 Standard deviation 60.7 64.4 6.88 Assume that all the data above are normal Test the claim that the mean CPK level has DECREASED for soccer players AFTER exercise (compared to the mean BEFORE exercise), using α=0.10. AFTER practice, do football players have a DIFFERENT mean CPK values compared to soccer players? Test this claim by…
For the population of college students, the number of hours spent studying per week is normally distributed with a = 4.40 and = 2.32 hours. We surveyed a random sample of students majoring in psychology about the number of hours they spent studying this past week. The data is as follows: 6, 8, 9, 4, 3, 11, 4, 6, 5, 7 What is the dependent variable? What is the level of measurement of the dependent variable? 3. Is there a significant increase in the number of hours spent studying for our sample compared to the population of college students? Perform a complete hypothesis test (z-test) using alpha = .01 level. SHOW ALL WORK
I use excel. I do not know what data anlysis toolpak to use, however, to find the answer, t stat, df, P, etc. I also don't know how to word Ho and Ha. Thanks! The data shown below are the initial weights and gains in weight (in grams) of female rats on a high protein diet from 24 to 84 days of age. The point of interest in these data is whether the gain in weight is related to (dependent on) the initial weight. If so, then feeding experiments on female rats can be made more precise by adjusting for differences in initial weights of the rats. Statistically test this with a regression analysis. Rat Number Initial Weight (gms) Weight Gain (gms) 1 50 128 2 64 159 3 76 158 4 64 119 5 74 133 6 60 112 7 69 96 8 68 126 9 56 132 10 48 118 11 57 107 12 59 106 13 46 82 14 45 103 15 65 104 What is the equation for the multiple regression? What is the best estimate of the amount of variance in Y which is due to its regression on the independent variables?
A physical therapist wanted to know whether the mean step pulse of men was less than the mean step pulse of women. She randomly selected 54 men and 70 women to participate in the study. Each subject was required to step up and down a 6-inch platform. The pulse of each subject was then recorded. The following results were obtained. Two sample T for Men vs Women N Mean StDev SE Mean Men Women 98% CI for mu Men - mu Women (- 12.20, - 1.00) T-Test mu Men = mu Women (vs H2 O C. Ho: H1 = H2; Ha: H1 #H2 (b) Identify the P-value and state the researcher's conclusion if the level of significance was a = 0.01. What is the P-value? P-value =
Taylor Swift is interested in learning what proportion of her fans want her to re-record her masters, so she takes a simple random sample of 500 fans and asks them. Of the 500 fans, 487 of them (97.4%) respond that they want her to re-record all of her masters. What is the parameter and what is its value? a. The parameter is the average number of all Taylor Swift fans who want her to re-record her masters, which is unknown. b. The parameter is the proportion of the sampled Taylor Swift fans who want her to re-record her masters, which is unknown. c. The parameter is the group of the sampled Taylor Swift fans who want her to re-record her masters, which is 487. d. The parameter is the proportion of the sampled Taylor Swift fans who want her to re-record her masters, which is 0.974. e. The parameter is the proportion of all Taylor Swift fans who want her to re-record her masters, which is unknown. f. The parameter is the proportion of all…
Plzz explain
A local authority is going to study the relationship between the size of household and the daily plastic usage consumed by them. The results of a sampling given below in Table 5 indicate some values of X (weight of plastic usage) and Y (the size of household). Table 5: Weight of plastic usage (X) and size of household (Y) X 0.27 1.41 2.19 | 2.83 2.19 1.81 0.85 3.05 Y 2 3 3 4 2 1 5 i) From the above sampling, find the value of correlation coefficient r. ii) Using the same sample data set above, conduct the hypothesis testing to know whether the variable X and Y are really correlates using 95% confidence level. iii) Find out if the decision in (ii) may change if you increase the confidence level to 99%.
A packaging company fills bags so that each bags has an average weight of 250 grams. The owners take a sample of bags and records the weight (grams) of each. They found the following information: Five-Number Summary (in grams) Min 213.97 Q1 236.34 Q2 244.1 Q3 255.47 Max 272.5 75% of bags weigh more than which amount?