Which of these best describes the conclusion we could make using a 5% level of significance? Select one: a. Students who live on campus sleep significantly less on average than students who commute. b. Students who live on campus sleep significantly more on average than students who commute. c. Students who live on campus sleep less on average than students who commute, but the difference is not significant. d. Students who live on campus sleep more on average than students who commute, but the difference is not significant.

The average house has 15 paintings on its walls. Is the mean larger for houses owned by teachers? The data show the results of a survey of 16 teachers who were asked how many paintings they have in their houses. Assume that the distribution of the population is normal. 18, 15, 17, 14, 16, 17, 18, 15, 15, 14, 14, 14, 15, 15, 16, 18 What can be concluded at the a = 0.05 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Но: Select an answer v H1: Select an answer v c. The test statistic ? v = (please show your answer to 3 decimal places.) d. The p-value = (Please show your answer to 4 decimal places.) e. The p-value is ? va f. Based on this, we should Select an answer v the null hypothesis. g. Thus, the final conclusion is that ... O The data suggest the population mean is not significantly more than 15 at a = 0.05, so there is sufficient evidence to conclude that the population mean number of paintings that are in…

Dr. Kijowski is concerned about student phone use, so she collects information on the number of text messages that each student sent on a particular day. The boxplot below shows the results.   Based on the boxplot, which of the following is the most reasonable conclusion? a. There are more people with data values below the median than there are people with data values above the median. Selected:b. There are more people with data values between the first quartile and the median than there are people with data values between the median and the third quartile.This answer is incorrect. c. There are fewer people with data values between the first quartile and the median than there are people with data values between the median and the third quartile. d. There are approximately the same number of people with data values between the first quartile and the minimum as there are people with data values between the third quartile and the maximum. e. The data are less spread out between the…

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4. time to try out multiple predictor variables. take a look at the data shown here, where the outcome is becoming a great chef. we suspect that variables such as number of years of experience cooking, level of formal culinary education, and number of different positions (sous chef, pasta station, etc.) all contribute to rankings or scores on the great chef test. a. which are the best predictors of a chef’s score? b. what score can you expect from a person with 12 years of experience and a level 2 education who has held five positions?

Which of the following research scenarios uses a two samples independent-measures t test? a. Examine the difference in self-esteem between student athletes and non-athletes. b. Evaluate the effectiveness of a pain reliever by measuring how much pain is reduced after taking the medication in a single group of people who rated pain, then took the drug and rated pain a second time.   c. Test the effectiveness of a cholesterol medication by comparing cholesterol levels before and after the medication is administered to a single group. d. Calculating the z score for the highest X in the data set.

Lecture(8.4): Researchers were interested in whether the number of books children carried differed between gender. It was hypothesized that girls would carry more books than boys.Twenty children were recruited and matched based on age and SES..Researchers then collected the number of the age of the appropiate books the children carried. A Summary of the result is given below: Girls       15      7         22         13      26         14       12         11          18      30 Boys      12      10        16         8        17          9       15         10         20        15 Test the hypotheses at (alpha=0.05) level of signifance

The director of student services at Oxnard College is interested in whether women are less likely to attend orlentation than men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orlentation Attendance Women Men Yes 426 491 No 190 189 What can be concluded at the a = 0.10 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Ho: Select an answery Select an answerv Select an answerv (please enter a decimal and note that p1 and ul represent the proportion and mean for women and p2 and u2 represent the proportion and mean for men.) H: Select an answerv Select an answerv Select an answerv (Please enter a decimal) b. The test statistic ?v = (please show your answer to 3 decímal places.) c. The p-value = (Please show your answer to 4 decimal places.) d. The p-value…

The director of student services at Oxnard College is interested in whether women are less likely to attend orientation than men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Women Men Yes 419 No 223 | 437 189 What can be concluded at the a = 0.01 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Ho: Select an answer v Select an answer v Select an answer v (please enter a decimal and note that p1 and ul represent the proportion and mean for women and p2 and µ2 represent the proportion and mean for men.) H: Select an answer v Select an answer Select an answer (Please enter a decimal) b. The test statistic ? v (please show your answer to 3 decimal places.) c. The p-value = d. The p-value is ? va e. Based on this, we should Select…

The director of student services at Oxnard College is interested in whether women are more likely to attend orientation than men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Women Men Yes| 358 444 No 252 354 What can be concluded at the a = 0.01 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Но: Select an answer > Select an answer > Select an answer (please enter a decimal and note that p1 and ul represent the proportion and mean for women and p2 and u2 represent the proportion and mean for men.) H1: Select an answer > Select an answer Select an answer O (Please enter a decimal) b. The test statistic (please show your answer to 3 decimal places.) c. The p-value (Please show your answer to %3D 4 decimal places.)