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A government study found that people who eat chocolate frequently weighless than people who don’t. Researchers questioned 1000 individuals fromCalifornia between the ages of 20 and 85 about their eating habits, andmeasured their weight and height. On average, participants ate chocolatetwice a week and had a body mass index (BMI) of 28. There was anobserved difference of five to seven pounds in weight between those whoate chocolate five times a week and those who did not eat any chocolate atall, with the chocolate eaters weighing less on average. Frequent chocolateeaters also consumed more calories, on average, than people who consumedless chocolate. Based on this summary, would you recommend thatAmerican’s who do not presently eat chocolate, consider eating chocolateup to five times a week if they want to lose weight? Why or why not?Explain.

Medical tests were conducted to learn about drug-resistant tuberculosis. Of 142  cases tested in New Jersey, 9 were found to be drug-resistant. Of 268 cases tested in Texas, 5 were found to be drug-resistant. Do these data suggest a statistically significant difference between the proportions of drug-resistant cases in the two states? Use a .02  level of significance. What is the -value, and what is your conclusion? Test statistic =

1. A psychologist is studying the effects of noise on concentration. The scores below are the number of errors made on a basic vocabulary test under varying noise levels. Conduct a one-way ANOVA using an a = .05. Follow up with Tukey's HSD. Quiet (X,) Low noise (X,) Moderate noise (Xa) Loud noise (X,) 3 4 1 4 4 3 1 1

Has the researcher tested for representativeness: comparing the sex distribution ofthe population and of respondents, for example, or their ages, ethnicity, education, orincome?

Dont copy from Quizlet not chat gpt not online any source. Just solve accurate ur ownexperty. Solve human experts ai answer need

How do you solve for b0?

New ans pls

24- Refer to the following output, what does it refer to?* Breusch-Godfrey Serial Correlation LM Test: F-statistic Prob. F(2.122) Obs R-squared 0.200071 0.415180 Prob. Chi-Square(2) 0.8189 0.8125 O a. This a heteroscedasticity test indicating that there is heteroscedastieity O b. This a heteroscedasticity test indicating that there is no heteroseedasticity O c. This an autocorrelation test indicating that thereis autocorrelation O d. This an autocorrel ation test indicating that there is no autocorrelation 25- Refertc the fallowing cutpue what does the coefficient andp-value of

A traditional performance rating benchmark (or guideline) for “normal” effort, or speed, is dealing 52 cardsinto four piles, forming a square with each pile one footapart, in 0.50 minute. Conduct an experiment with one ormore fellow students in which one deals the cards andthe others rate the dealer’s performance, and then compare these subjective ratings with the actual time of thedealer.

Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.

Refer to the sample data for polygraph tests shown below. If one of the test subjects is randomly selected, what is the probability that the subject is not lying? Is the result close to the probability of 0.490 for a negative test result? Consider the result close if the absolute difference is less than 0.050. Did the Subject Actually Lie? No (Did Not Lie) 10 33 Positive test results Negative test results Yes (Lied) 39 14 C The probability that a randomly selected polygraph test subject was not lying is (Type an integer or decimal rounded to three decimal places as needed.) Is the result close to the probability, rounded to three decimal places, of 0.490 for a negative test result? Consider the result close if the absolute difference is less than 0.050. because there is a 0.050 absolute difference between the probability of a true response and the probability of a negative test result.

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Ca = 40 + 0.80 (Y-T) Ig = 30 Xn= 10 T=20 G=20 DI-Y-T

Do and b for the the first picture I put the other picture to show the qestion this is a and b

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If SLR 1-3 hold, but SLR 4 is violated, then...     OLS estimators are unbiased and inconsistent     OLS test statistics suffer from heteroskedasticity     OLS estimators are biased and consistent     OLS estimators are biased and inconsistent

QUESTION 39 A researcher reports an independent-measures t-statistic with degrees of freedom = 38 . How many participants were in the entire study?     20     40     39     76

2 3 Lunch Spending ($) = x; 28 10 1 15 5 8 606 7 10 618 Z-Scores

pls help asap on both

An economist compiled data on productivity improvements last year for a sample of firms producing electronic computing equipment. The firms were classified according to the level of their average expenditures for research and development in the past three years. The results of the analysis of the study were as given below: Source of variation d.f Sum of squares Mean Sum of squares 2 23 groups error total 16.623 B 30.678 A с

An economist collects data regarding the number of jobs an individual has held by age 21. Tim states he had 4 jobs, Sam had 3, Jill had 3, Sally had 2, and Watney had 10.An economist should use the to draw conclusions. A typical individual had jobs by the age 21.

The ANOVA procedure is a statistical approach for determining whether or not the means of two or more populations are equal. the means of more than two samples are equal. the means of two or more samples are equal. O the means of two samples are equal.

Interpret MRSx,y= 5

ECONOMETRICS 1. The possible values of a t random variable are: a. From 0 to infinity b. From 1 to infinity c. From 0 to 1 d. Any real value 2. When we reject Ho, there is a possibility of: а. Туре 1 error b. Туре 2 error с. Туре 3 error d. Туpe 4 error 3. It is possible to obtain an F test statistic value of 0.001: a. True b. False c. Maybe d. All of the above 4. Hypothesis testing is conducted: a. To prove whether the theory is correct b. To determine whether the estimation is accurate c. To determine which explanatory variable is the most important d. To provide empirical support to the theory

100kl – 5k²1² + 2k + 4l TT = dl dk and dn dn Find dk = 100 – 10kl + and dn dl = 100 – 10lk² dn dk = 1001 – 10kl² + 2 and dn dl = 100k – 10lk² + 4 dn dk = 100 – 10kl2 + 2 and dn dl = 100 – 10lk² + 4 dn

CASE 2 (continued) In a completely randomized experimental design, 11 experimental units were used for each of the 3 treatments. Part of the ANOVA table is shown below. ANOVA Source of Variation SS Between Groups Within Groups Total 1500 6000 df I? 32 MS F ? Fill in the blanks in the above ANOVA table.At 95% confidence, test to determine whether or not the means of the 3 populations are equal. Find MSE. MSE is

utility measurement is not regarded as being as scientific as natural health unit measurements. Select one: True False What is the answer?

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