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- Nota, Ferrari, Soresi, and Wehmeyer (2007) measured the relationship between IQ and the four measures of self-determination in a sample of n = 141 participants. They reported a negative correlation between IQ and self-determination in daily activities, r = -0.42, p < .01, and a negative correlation between IQ and self-determination in expressing emotions and options, r = -0.16, p > .05. a. Which correlation is significant? b. Which is the stronger correlation?Mr. Friend noticed that meetings tended to start late when there were a lot of people in attendance and decided to study that relationship. He collecting data on the number of people who were attending each meeting and the number of minutes late that the meeting started. He noticed there was one point that seemed unusual, so he removed it from the data set. What is true about the point that was removed? a. the point is not unusualb. It is an influential observationc. It has the largest residuald. The slope changes little when the point is removedSelected:e. The correlation is lower with the removal of the pointA pig grower wants to test three different diets designed to maximize weight gain. The grower randomly selects 9 pigs and divides them randomly into three groups, with 3 pigs in each group. Each group is given one of the diets. The weight gains, in pounds, after a three-week period are shown below: A В 10.5 11.5 9.8 10.9 10.9 10.5 10.7 11.8 10.4 At a = 0.01, is there a significant difference in the mean weight gains of the pigs in each diet? Source Degree Sum of Мean F -test of of Squares Square Statistic Variation Freedom Between 2 2.07 6.48 Within 6. 0.79 0.35 7.885 Total 8 2.86 Based on the problem, what is the conclusion?
- Please answer question 9.3The mean number of sick days an employee takes per year is believed to be about 10. Members of a personnel department do not believe this figure. They randomly survey &8 employees. The number of sick days they took for the past year are as follows: 12; 6; 15; 3; 10; 8; 8; 8. Let X= the number of sick days they took for the past year. Should the personnel team believe that the mean number is about 10? Conduct a hypothesis test at the 5% level. What is the test statistic? (If using the z distribution round your answers to two decimal places, and if using the t distribution round your answers to three decimal places.) What is the p-value? (Round your answer to four decimal places.) Construct a 95% confidence interval for the true mean. Sketch the graph of the situation. Label the point estimate and the lower and upper bounds of the confidence interval. (Round your answers to three decimal places.)In a One-way Between Subject ANOVA, the number of levels the IV had was 3, and the within/error degrees of freedom was 48. What was the total number of people in the participants analyzed in the study
- A researcher is studying the effects of his newly created lens on vision. He samples 9 people with poor vision and measures their visual distance (in feet) with the lens and then without the lens. Did people’s vision with the lens differ from their vision without? Participant # With Lens Without Lens 1 8 14 2 6 17 3 9 12 4 7 11 5 5 12 6 9 18 7 8 13 8 9 7 9 7 13 What kind of analysis will you use? Why? State the null and alternative hypothesis. Check your assumptions. Explain why each of them are or are not met. Sketch a distribution and shade the rejection region(s), including the corresponding critical value(s). Using R, calculate your test statistic and interpret the results of your test. (Don’t forget your 95% confidence interval and screenshots of your work!) What do you conclude about the null hypothesis? Are there significant differences?For the folllwing two questions state the response variable and the explanatory variable 1.Is there a relationship between the final rating given by the customer and the number of exchanges during the conversation? If so, which of the exchange categories have significantly different mean ratings? 2. It is thought that having a relatively consistent length of message in any given conversation indicates a pattern of helpful, well-balanced communication. In fact, some new research suggests that to ensure a productive conversation the maximum message length should be no more than 8 words greater than the minimum message length in any conversation. Test whether the conversations in the sample meet the criteria suggested by this research study.What is Ha? (H0 is the mean VIQ scores for the younger, middle-aged, and older subjects are all not different from each other) (Note: 1= 5-25 Years, 2= 26-59 Years, 3= 60-92 Years) Multiple Choices: 1. H0 is not true 2. The mean VIQ scores for the younger, middle-aged, and older subjects 3. are all different 4. The mean VIQ scores for the younger, middle-aged, and older subjects are all different from each other 5. The mean VIQ scores for the younger, middle-aged, and older subjects are not equal to one another 6. The mean VIQ scores for the younger, middle-aged, and older subjects are not the same as each other
- Using age as the quantitative variable and marital status (married/not married) as the categorical. Develop two research questions.Last week Jenni had exams in Spanish and in Cognition. She scored 5 points above the mean on both exams. From this information, what can you conclude about the z-scores for Jenni’s two scores? a. Jenni will have a higher z-score for the exam with the lower mean. b. None of the other choices is correct. c. Jenni has identical z-scores for the two exams. d. Both of Jenni's z-scores are positive.The claim is that the proportion of adults who smoked a cigarette in the past week is less than 0.25 and the sample statistics include n=1150 subjects with 265 saying that they smoked a cigarette in the past week. Find the value of the test statistic.