The alternative hypothesis is:
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Questions 9 to 12 are based on the following problem:
A study surveys students to determine the amount of Facebook use during the time they are doing Math homework. Students are classified into three groups: Non- User, Rarely-Use, Regularly-Use, and their Math scores are recorded. The following data summarize the results.
|
Facebook Use While Doing Homework |
||||
|
Non-User |
Rarely-Use |
Regularly-Use |
|
|
|
n = 6 |
n = 8 |
n = 10 |
N = 24 |
|
|
M = 6 |
M = 2 |
M = 2 |
G = 72 |
|
|
SS = 30 |
SS = 33 |
SS = 42 |
ΣX2tot = 393 |
|
Use an ANOVA with α = .05 to determine whether there are significant differences among the
The alternative hypothesis is:
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- Questions 9 to 12 are based on the following problem: A study surveys students to determine the amount of Facebook use during the time they are doing Math homework. Students are classified into three groups: Non- User, Rarely-Use, Regularly-Use, and their Math scores are recorded. The following data summarize the results. Facebook Use While Doing Homework Non-User Rarely-Use Regularly-Use n = 6 n = 8 n = 10 N = 24 M = 6 M = 2 M = 2 G = 72 SS = 30 SS = 33 SS = 42 ΣX2tot = 393 Use an ANOVA with α = .05 to determine whether there are significant differences among the means of the three groups. The alternative hypothesis is: The Critical F-value is: Note: Leave the two decimal places after the decimal point The F-statistic is: Note: leave all the decimal places after the decimal point and do not round. Your decision isQuestions 20 to 25 are based on the following problem In a research study, students were given pedometers for a 12-week period, and asked to record the average number of steps per day during weeks 1, 6, and 12. See the results below. Number of steps (x1000) Participant Week 1 Week 6 Week 12 P A 6 8 10 24 B 4 5 6 15 N = 18 C 5 5 5 15 G = 72 D 1 2 3 6 ΣX2 = 400 E 0 1 2 3 k = 3 F 2 3 4 9 n = 6 T = 18 T = 24 T = 30 SS = 28 SS = 32 SS = 40 Use a repeated measures ANOVA with α = .05 to determine whether the mean number of steps changes significantly from one week to another. State the null hypothesis in words and statistical nomenclature, and the alternative hypothesis in words. The Critical F-value is: Note: Include all the numbers after the decimal point. The F-statistic is: Note: If it is a decimal number with two or more than two…question 1 atttached athax for helpa elaephalephaelaph2p4o2 4phok 4kkh2p4 h2o4 4o 4h4 h
- Solve question 4 given the following: • Men’s heights are normally distributed with µ = 71.2499 inches and σ = 14.8530 inches• Men’s weights are normally distributed with µ = 168.5468 pounds and σ = 40.0461pounds• Women’s heights are normally distributed with µ = 63.7975 inches and σ = 9.6149inches• Women’s weights are normally distributed with µ = 135.7459 pounds and σ = 30.9147poundsquestion 6 attached in ss hanks for helph 14ph15lh1p5ohl15 ph15lho15h 15ho15 h15ohp 15ho1h15h1 5h15 h15 h5 h5Questions 12 to 20 are based on the following problem: Loftus and Palmer study (1974) demonstrated the influence of language on eyewitness memory. Participants watched a film of a car accident and were asked questions about what they saw. One group was asked “About how fast the cars were going when they smashed into each other?” Another group was asked the same question, except the verb was changed to “hit” instead of “smashed into”. The ‘smasher into” group reported significantly higher estimates of speed than the hit group. Suppose a researcher repeats this study with two samples of college students and obtains the following results: Estimated Speed Smashed into hit n = 16 n = 16 M = 40 M = 34 SS = 510 SS = 414 Use a one-tailed test with α = .01. based on this question Use the data to make a 99% confidence interval estimate of the mean difference in estimate speed between the “smashed into” group and the “hit” group The lower limit of the…
- Need answers for question 15 and 16 using the chart question 15 using PV92 and question 16 TPA25Question 5For each of the following tobs values, determine the highest level of significance associated with the decision taken. tobs df Decision (i) 4.000 17 Reject Ha for a two-tailed test (ii) 1.200 120 Reject Ha for a one-tailed test (iii) -2.660 16 Reject Ha for both one-tailed and two-tailed test (iv) -1.586 60 Reject Ha for a one-tailed testQuestion 4 a The researcher is concerned that older persons may not be knowledgeable of the COFLU-20. Assuch, he is interested in investigating the association between the age of the respondents and theirknowledge level. Table 2 below shows the knowledge level of respondents, by age group.Table 2Age Group Knowledge Level TotalPoor Satisfactory Good18 - 25 33 16 13 6226 - 34 30 18 12 6035 - 44 29 14 12 5545 - 54 36 16 18 7055 - 75 17 14 22 53Total 145 78 77 300 Conduct a test, at the 5% level of significance, to determine whether the data provided sufficientevidence to conclude that an association exists between age group and knowledge level. (i) State the hypotheses to be tested:H0:H1: Calculate:(ii) state the degrees of freedom for this test (iii) the p-value for this test, given that the chi-square test statistic, x2, is 11.029. (iv) state the conclusion for the test. Give reason for your answer.