Discuss the progression of statistics and probability from ancient times to modern times including a discussion of the uses of statistics and probability prior to the foundations in the 16^th and 17^th centuries.

d. A travel agency is frequently asked questions about tourist destinations. For
example, customers want to know details of the climate for a particular month,
the population of the city, and other geographic facts. Sometimes they request
the flying time and distance between two cities. The manager has asked you to
create a database to maintain these facts.

The authors of the paper "Age and Violent Content Labels Make Video Games Forbidden Fruits for Youth" carried out an experiment to determine if restrictive labels on video games actually increased the attractiveness of the game for young game players.† Participants read a description of a new video game and were asked how much they wanted to play the game. The description also included an age rating. Some participants read the description with an age restrictive label of 7+, indicating that the game was not appropriate for children under the age of 7. Others read the same description, but with an age restrictive label of 12+, 16+, or 18+.

The paper gave data for 12- to 13-year-old girls. Data consistent with summary values in the paper are shown below.

Do the data provide convincing evidence that the mean rating associated with the game description for 12- to 13-year-old girls is not the same for all four age restrictive rating labels? Test the appropriate hypotheses using

α = 0.05.

Calculate the test statistic. (Round your answer to two decimal places.)

F = ______________

When does one know that a sample size is adequate? Can one be too small or too big? Can they be biased? What are you looking for when you see a report and must determine if the information presented is good information or just junk?

1. Please describe the difference between a within subjects and between subjects variable. In addition, please provide detailed and specific explanations of original and unique examples for each of the following factorial designs (a-c below are worth 1 point each):
2. 1. a 2 x 3 Mixed Factorial Design
   2. a 3 x 3 Repeated Measures Factorial Design
   3. a 2 x 2 Between Subjects Factorial Design

Explain how during the past Presidential election how so many statisticians got the projections of the elections wrong?

What are the statistics used to summarize categorical data?

Seventy million pounds of trout are grown in the U.S. every year. Far-raised trout contain an average of 32 grams of fat per pound, with a standard deviation of 7.5 grams of fat per pound. A random sample of 36 farm-raised trout is selected. The mean fat content for the sample is 31.8 grams per pound. Find the probability of observing a sample mean of 31.8 grams of fat per pound or less in a random sample of 36 farm-raised trout. Carry your intermediate computations to at least four decimal places. Round your answer to at least three decimal places.

What are the assumptions and advantages of nonparametric methods?

What are the characteristics of chi-square distributions?

In a certain​ country, the true probability of a baby being a boy is 0.531. Among the next six randomly selected births in the​ country, what is the probability that at least one of them is a girl?

(PLEASE TYPE THE ANSWERS)(STATISTICS 500)

instructions : describe a research study in your area of study

Introduction:   Description of the study including the purpose and importance of the research question being asked. What is your null hypothesis? What is your research or alternative hypothesis? Your introduction should include at least two resources. These resources MUST be from peer-reviewed journals. You must use other resources and correctly cite (such as our text) when describing statistical concepts.

Participants/Sampling Method: Describe the sample collected for the study, as well as the sampling method. How were your participants selected? Who is your population of interest? If you did a survey, how many will you survey to ensure your target sample size? How did you come up with that number? What do you expect your response rate to be? What was your sample size? How representative is the sample of the population under study?

Procedures: How were the data collected? Was a survey or questionnaire used to collect data? What are the independent and dependent variables? How are the variables defined and measured? Are the variables nominal, ordinal, interval, or ratio measurement scales? Are the data collected in a way that avoids bias? What is your selected alpha level?

Data Analysis: What statistical test was used to analyze the data? Describe the statistical test. What are the requirements? Did you meet those requirements? Describe why your selected method was appropriate to answer your research question. Make up a test statistic value. Given that value, do you reject or fail to reject the null hypothesis? Is your p < .05 or p > .05 (assuming alpha = .05)?

Results & Discussion: Did your analysis answer your research question? Explain. What are the practical implications of your results?

(PLEASE TYPE THE ANSWERS)(STATISTICS 500)

Create a research hypothesis in your area of study that would be answered using either a two sample independent or dependent samples t test. Include the following: Introduction: Brief description of the study including the purpose and importance of the research question being asked. What is the null hypothesis? What is the research hypothesis? Participants/Sampling Method: Describe your sampling method. What is your sample size? Who is your population of interest? How representative is the sample of the population under study? Data Analysis: Describe the statistical analysis. (HINT: This should either be a two sample independent or dependent samples t test depending on your research question). What is your IV? What is your DV? What level of measurement (nominal, ordinal, interval or ratio) are your IV and DV? What is your alpha level? Results & Discussion: Did you reject the null hypothesis? What information did you use to lead you to your conclusion? Was your p value greater than or less than your alpha? What is your conclusion based on whether or not you rejected the null hypothesis? NOTE: You can just make up numbers, but include your made-up p value.