Mr X is investigating on the impact of noise level on students 'learning performance at state elementary school in Gugulethu. Does noise influence the marks a student scores? does gender influence the marks a student scores? does gender effects how students react to noise? A total of twenty-four students are sampled, four out of each population. (Data is tabulated below) Student Low Medium Loud Noise Noise Noise 10 Male 12 Students 11 12 12 13 Female 12 15 6. Students 10 12 13 12

I need help with 7, 8 and 9

A statistical program is recommended. You may need to use this table to answer this question. A study investigated the relationship between audit delay (Delay), the length of time from a company's fiscal year-end to the date of the auditor's report, and variables that describe the client and the auditor. Some of the independent variables that were included in this study follow. Industry Public Quality Finished 62 45 A sample of 40 companies provided the following data. 54 Delay Industry Public Quality 71 91 62 61 2 69 80 52 47 65 60 81 73 89 71 76 68 68 86 76 67 57 55 54 69 82 94 74 75 69 71 79 80 91 92 46 A dummy variable coded 1 if the firm was an industrial company or 0 if the firm was a bank, savings and loan, or insurance company. 72 A dummy variable coded 1 if the company was traded on an organized exchange or over the counter; otherwise coded 0. 85 A measure of overall quality of internal controls, as judged by the auditor, on a five-point scale ranging from "virtually none" (1)…

How would you interpret these results? 1. The effect of gender caused different levels of Stroop tas performance at different ages. 2. The effect of age caused different levels of Stroop task performance in men than women. 3. The interaction between gender and age did not affect Stroop task performance. 4.  a and b 5. None of the above.

A survey was developed to estimate the average number of hours per week that adults spend exercising.  Every third person entering a large fitness complex was surveyed, with a total of 2,500 people being surveyed.  The data showed that the mean number of hours spent exercising was 3.2 hours per week.  Which characteristic of the survey could create a bias in the results?      The size of the sample  The size of the sample  The method of analyzing the data  The method of analyzing the data  The method of choosing the people who were surveyed  The method of choosing the people who were surveyed  The size of the population

The results of a random sample of students by type of school and their attitudes on safety steps taken by the school staff are shown in the table below.  At the 5% significance level, can you conclude that attitudes about safety steps taken by the school staff are related to the type of school?    School staff has  School Type  Taken all steps for  student safety  Taken some steps for  student safety  Public  40  51  Private  64  34

Does the type of instruction in a college statistics class (either lecture or self-paced) influence students’ performance, as measured by the number of quizzes successfully completed during the semester? Twelve students were recruited for the study. Students received the lecture instruction or a self-paced instruction. The total number of quizzes completed during teach type of instruction appear below.

You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 65 26 33 25 38 34 42 30 17 34 80 20 30 35 71 29 65 28 50 30 Но: р %3D 0 На: р 2 0 Find the Linear Correlation Coefficient r = Find the p-value p-value The p-value is O Less than (or equal to) a O Greater than a The p-value leads to a decision to O Reject Ho О Аcсеpt Ho O Do Not Reject Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant negative linear correlation between driver age and number of driver deaths. O There is a significant positive…