4. a) Professor Smith and Professor Brown teach different sections of the same English course, and Professor Smith believes that she attracts better writers. To test that claim, both professors administer the same writing test and the results are given below. Assume both populations normal and the variances are unequal. a) At the .05 significance level, test the claim that both groups have equal means. Smith Brown n, = 25 X, = 77.7 I, = 73.3 n, = 30 s, =14.6 | s, =14.2 claim null hypothesis... alternative hypothesis... Calculator Screen Name... test statistic pvalue/alpha comparison... decision Conclusion b) Construct a 95% confidence interval for µ, – µ, based on the sample data above. Interpret the interval in a complete sentence. Confidence Interval Name Interval Interpret

4. a) Professor Smith and Professor Brown teach different sections of the same English course, and Professor Smith believes that she attracts better writers. To test that claim, both professors administer the same writing test and the results are given below. Assume both populations normal and the variances are unequal. a) At the .05 significance level, test the claim that both groups have equal means. Smith Brown n, = 25 X, = 77.7 I, = 73.3 n, = 30 s, =14.6 | s, =14.2 claim null hypothesis... alternative hypothesis... Calculator Screen Name... test statistic pvalue/alpha comparison... decision Conclusion b) Construct a 95% confidence interval for µ, – µ, based on the sample data above. Interpret the interval in a complete sentence. Confidence Interval Name Interval Interpret

Name: 4. a) Professor Smith and Professor Brown teach different sections of
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: 4. a) Professor Smith and Professor Brown teach different sections of the same Englishcourse, and Professor Smith believes that she attracts better writers. To test that claim,both professors administer the same writing test and the results are give

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

There are some temperature measurements of this month in San Francisco and Fresno. The sample size in San Fransico is 23 and the sample size in Fresno is 17. The sample means and variances were computed and tabulated in the following table: Sample Size Sample Mean (oF) Sample Variance (oF) San Francisco 30 75.5 4 Fresno 11 73.3 6 a) Is there a significant difference in the mean temperature between San Francisco and Fresno at a significance level of 5%? Assume that the population variances in both cities are the same. b) Based on the measurements, what are the confidence interval of variances in San Francisco and Fresbi, respectively? Use a 90% confidence level. c) Use the above question (question b) as an example, how does the number of samples affect the width of your confidence interval?
Prof. Lopez wants to know whether type of the exam formats will impact on student’s final exam by ask a group of students taking the final exam with paper format and another group of students taking the same exam with computer format. a. Repeated measure t test b. One way ANOVA c. Independent- measures t test d. Correlation
After the measles outbreak, the barangay captain of Big Rock wanted to assess the satisfaction of the residents to his actions during the outbreak. He then obtained a random sample of 5 residents per block (Block 1 to Block 5) and asked them their satisfaction (1 – very dissatisfied, 2- dissatisfied, 3- satisfied, 4- very satisfied). He wanted to know if the satisfaction of his residents differs across blocks. i. True or False: We should test the normality of responses per blocks before we proceed with the test of hypothesis on comparing these responses across blocks. ii. The appropriate alternative hypothesis in symbols is? a) At least one µi # µj, for izj, i,j=1,2,3,4,5 b) At least one Mdi + Mdj, for i#j, i,j=1,2,3,4,5 c ) μ1 μ2-μ3-μ4 μ5 d) Md1= Md2 = Md3 = Md4 = Md5 iii. Suppose the p-value of appropriate test is 0.0013, at 5% level of significance, we have evidence to say that at least one block has a different average a) Insufficient; measles outbreak b) Sufficient; measles…
B. A sample data has a distribution that has a single mode and is strongly positively skewed. An analyst computes three measures of location for this data; the mean, the median and mode. (i) State the largest of these three location measures. (ii) Suggest, with a reason, which would be the best measure of location.
13. According to a recent random sample of 31 Canadian Football League players, the mean age was approximnately 27.71 years with a variance of 2.59. Lonnie Lobowsky of the Yukon Argonauts has an age with Z-score equivalent to 2.21. Determine his age. A. 31 B. 37 C. 33 D. 35 E. 28 -
1. A study compared testosterone levels among athletes in four sports: soccer, track, Lacrosse, and water polo. The total sample size was N = 30 (n = 10 soccer, 10 track, 5 Lacrosse, and 5 water polo). A one-way analysis of variance was used to compare the population mean levels for the four sports.Refer to Exhibit 1. What are the numerator and denominator degrees of freedom for the F-test? A: for numerator and 26 for denominator. 2. Refer to Exhibit 1. The sum of squared errors is SS Error = 100. What is the value of the Mean Square Error (MS Error)? A: 2.85 3. Refer to Exhibit 1. The sum of squares for between groups is SS Between Groups = 60. What is the Mean Square for between groups (MS Between Groups)? A: 20 4. If the significance level = 0.05, what is the conclusion?Using the a = 0.05 significance level, what is the conclusion? A: The null hypothesis is rejected: the means are significantly different. 5. A study compared testosterone levels among athletes in four sports: soccer,…
. 3. A researcher is interested in knowing if preterm infants with late metabolic acidosis and preterm infants without the condition differ with respect to urine levels of a certain chemical. The mean levels, standard deviations, and sample sizes from the two samples are given below. Assuming that the populations have equal variances: a. Fill in the missing pieces of the Stata output. ttesti 38 8.5 3.5 32 6.85 2.6 X y Two-sample t test with A variances combined diff Obs Ho: diff=0 38 32 Sample With condition 70 diff mean(x) n 38 Without condition 32 Ha: diff |t|) = F [95% Conf. Intervall 7.349579 5.9126 6.98079 .1552544 t = degrees of freedom = 9.650421 7.7874 8.510638 3.144746 E b. What is the conclusion of your test? c. Use this output to construct a 99% confidence interval for the difference between the two means. 68 Ha: diff0 Pr(Tt) = 0.0155
2) Researchers are interested in whether there is any relationship between a person's IQ (x- variable) and how long they live (y-variable). Answer the questions below by using the data provided. Show your work and use the back of the page if necessary. X Y 10 3 6. 6. 7 4 3 4 a) What type of statistical analysis would be most appropriate to use in this scenario? Please justify your answer. b) Please state the null and alternative hypotheses. c) Please report the results of your statistical analyses and make a decision about whether to reject or fail to reject the null hypothesis Use alpha = .05 (two-tailed). %3D
4 4G I. moodle.unizwa.edu.om a | Quiz3 Time left 0:00:21 Question 3 Answer saved Marked out of 2.00 P Flag question Which one of the following choices describes a problem for which an analysis of variance would be appropriate? O A. Comparing the proportion of successes for three different treatments of anxiety. Each treatment is tried on 100 patients O B. Analyzing the relationship between high school GPA and college GPA O . Analyzing the relationship between gender and opinion about capital punishment (favor or oppose). O D. Comparing the mean birth weights of newborn babies for three different hospitals. O E. None of these Clear my choice Previous page Next page 1 2w-ANOVA(3) Jump to... Quiz navigation 7 +
A popular theory is that presidential candidates have an advantage if they are taller than their main opponents. Listed are heights (in centimeters) of randomly selected presidents along with the heights of their main opponents. Complete parts (a) and (b) below. Height (cm) of President Height (cm) of Main Opponent 178 181 171 167 183 177 184 170 178 174 203 166 9 a. Use the sample data with a 0.05 significance level to test the claim that for the population of heights for presidents and their main opponents, the differences have a mean greater than 0 cm. In this example, Ha is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the president's height minus their main opponent's height. What are the null and alternative hypotheses for the hypothesis test? Họ: Ha cm H1: Hd cm (Type integers or decimals. Do not round.)
Given below are the analysis of variance results from a stat software display comparing sample data for the meanmileage for 4 different types of cars. Assume that you want to use a 0.05 significance level in testing the null hypothesisthat the different samples come from cars with the same mileage. What can you conclude about the equality of the population means?Source DF SS MS F pFactor 3 13.500 4.500 5.17 0.011Error 16 13.925 0.870Total 19 27.425 12)What is the null and alternative hypothesis for this scenari?Based on this One Way Anova software analysis, would you reject of fail to reject the nul hypothesis?What does this result mean in context?
Listed below are amounts of arsenic in samples of brown rice from three different states. The amounts are in micrograms of arsenic and all samples have the same serving size. The data are from the Food and Drug Administration. Use a 0.05 significance level to test the claim that the three samples are from populations with the same mean. Assume that the distributions for each state are normal and that all variances are equal. Arkansas 4.8 4.9 5.0 5.4 5.4 5.4 5.6 5.6 5.6 5.9 6.0 6.1 California. 1.5 3.7 4.0 4.5 4.9 5.1 5.3 5.4 5.4 5.5 5.6 5.6 Texas. 5.6 5.8 6.6 6.9. 6.9 6.9 7.1 7.3 7.5 7.6 7.7 7.7