m 1 scores from our Statistics class. 7 of the scores come from females, and 7 come from males. Test the hypothesis that males and females scored differently on our first exam, using an (alpha level of .05.)

Researchers investigate how the presence of cell phones influence the quality of human interaction.  Subjects are randomly selected from a population and divided into an experimental group that is asked to leave their phones in the front of the room and a control group that are not asked to leave their cell phones at the front of the room.  Subjects are left alone for 10 minutes and then asked to take a survey designed to measure quality of interactions they had with others in the experiment.  What statistical test is appropriate?

Data were collected from 400 patients in the US about their estrogen level.  Out of the 400, 35 patient have abnormal estrogen levels. On a national level, 8 %  of patients have abnormal estrogen level. Researchers want to know the sample proportion differs from the national level. 5% is used for significance.  Give the Ho and Ha. The appropriate test. Decision rule. Test calculations. Conclusion with comparison to alpha or critical value. I think this is a two tailed test. Use a one sample t- test. I think the null is rejected.   t (40-1) = (400-35) / (.05 divided by sqrt 31) This is where I get stuck.

An I/O psychologist wants to know if there is a difference in worker evaluations depending if the evaluator is a male or female.  15 men and 15 women managers were asked to rate on a scale of 0-10 the same group of worker files.  The ratings on the worker evaluations were recorded for each manager.  Which statistical test would be best to determine if there is a significant difference between groups?     one-sample t-test     dependent samples t-test     independent samples t-test     ANOVA

Seven acute schizophrenics and 10 chronic schizophrenics have been measured on a clarity of thinking scale. The mean for the acute sample was 52, with s = 12, and the mean for the chronic sample was 44, with s = 11. Perform a pooled-variance t test with alpha = .05 (two-tailed), and state your statistical conclusion.

This research was conducted with Korean adolescents in the Los Angeles area. Would you be willing to generalize the results of this study to Korean adolescents who live in other regions of the country? Why or why not.

A researcher is interested in investigating whether religious affiliation and the brand of sneakers that people wear are associated. The table below shows the results of a survey. Frequencies of Religions and Sneakers   Nike Adidas Other Protestant 97 87 117 Catholic 68 50 80 Jewish 18 19 38 Other 64 83 70  What can be concluded at the αα = 0.05 significance level? The test-statistic for this data =  (Please show your answer to three decimal places.) The p-value for this sample = (Please show your answer to four decimal places.)  The p-value is Select an answer less than (or equal to) greater than  αα  Based on this, we should reject the null fail to reject the null accept the null Thus, the final conclusion is... There is sufficient evidence to conclude that sneaker brand and religious affiliation are dependent. There is insufficient evidence to conclude that the distribution of sneaker brand is not the same for each religion. There is insufficient evidence to…

All other conditions being equal, does a larger sample size increase or decrease the corresponding magnitude of the z or t value of the sample test statistic?

Officials from Pennsylvania Department of Transportation (PENNDOT) question how a sample of 120 hours can prove whether or not more cars pass through with machine collections over manual collection, that is, how the results from the sample reflect the population.  In a detailed paragraph of at least six to seven sentences, based on your knowledge and understanding of the concepts of inferential statistics, random sampling, and tests of statistical significance, respond to PENNDOT.  Ensure that you mention what inferential statistics is and why we use it, what random sampling is, and what statistical significance is and why we test for it.   if we ponder the relationship between commute time and job satisfaction while driving back and forth to campus.  Your instructor hypothesizes that people with a shorter commute time will have higher degrees of job satisfaction.  Randomly sampling 600 Valley commuters, the instructor finds the following data listed in frequencies: Table 2: Commuters…

please answer part b Also is there significant evidence that brand 1 and 3 different in mean ratings? is there significant evidence that brand 1 and 4 different in mean ratings? is there significant evidence that brand 2 and 3 different in mean ratings? is there significant evidence that brand 2 and 4 different in mean ratings? is there significant evidence that brand 3 and 4 different in mean ratings?