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Statistical Analysis Homework Solution

January 12, 2022
Ada Sinclair
Ada Sinclair
🇺🇸 United States
Statistical Analysis
Ada Sinclair is a Statistical Analysis Homework Expert with a master’s degree from the University of Manchester. With over 8 years of experience, she excels in providing clear, accurate insights and solutions for complex statistical problems.
Key Topics
  • Chi-square Tests and Hypothesis Testing
    • Chi-Square Test of Significance
    • Hypothesis Testing
Tip of the day
When tackling a statistics problem, always start by visualizing the data! A simple graph or chart can help reveal trends, outliers, and patterns that aren’t immediately obvious from raw numbers. Understanding your data visually can make the analysis much clearer!
News
The rise of AI and big data is reshaping the field of statistics. Recent trends highlight the growing need for expertise in statistical modeling, machine learning, and data visualization, with applications in healthcare, finance, and technology.

We have crafted accurate solutions for statistical analysis questions and posted them here for free access by students who wish to see how excellent we are at answering questions. The answers can prove useful for adding to your knowledge and bailing you put in your next assignment.

Chi-square Tests and Hypothesis Testing

The questions below ask about the chi-square test of significance and hypothesis testing. They're hinged on the importance of chi-square tests and ask for hypothesis testing. We have curated only correct answers in each case.

Chi-Square Test of Significance

Question 1:One of the reasons Chi-square is one of the most popular types of significance tests used by researchers is because:

Group of answer choices

  1. other tests can’t be done using interval-ratio variables
  2. it is easy to meet test requirements.
  3. the sampling distribution, as assumed by the Central Limit Theorem, is normal in shape.
  4. all of the above

Question 2: A chi-square test compares the ___________ to the __________. If the difference is large, we reject the null hypothesis.

Group of answer choices

  1. expected frequencies; observed frequencies
  2. independent variables/dependent variables
  3. p-value; critical score

Question 3: In a chi-square test, the expected frequencies are:

Group of answer choices

  1. the scores in each cell that would occur if it were due to random chance
  2. the scores in each cell that were actually observed in the data
  3. The sum of the total scores in each row
  4. The sum of the total scores in each column

Hypothesis Testing

Question: When it comes to casino games, the odds of winning at blackjack are better than the odds of winning at roulette or slots. You ask a random sample of Council Bluffs gamblers about their favorite casino game and whether or not they have ever passed a college-level statistics class. The data are summarized in the table below. Is an understanding of statistics and probability related to favoring games with better odds? ***Conduct a significance test at alpha =.05 and, in step five, calculate the appropriate measures of association if appropriate and write a paragraph summarizing your results. Favorite Casino Game by Experience in Statistics. Passed a Statistics Class? Favorite Game Yes No Blackjack 69 19 Roulette 17 34 Slots 43 75

Solution:

  • Hypothesis

    Null hypothesis: There is no relationship between favorite game and passing a statistic class (they are independent) Alternative hypothesis: There is a relationship between favorite game and passing a statistic class (they are not independent)

  • Level of Significance: α=5%=0.05

    Degree of freedom = (r-1)×(c-1)=(3-1)×(2-1)=2

  • Critical value = χ^2 (α,df)=5.99

    Test statistic

    Chi Square
  • Test statistic χ^2=∑▒〖(O_i-E_i )^2/E_i =42.7505〗
  • Conclusion: Since the test statistic is greater than the critical value, we reject the null hypothesis, which implies that we have enough evidence to support the claim i.e. favorite game and passing a statistic class are not independent i.e. there is a relationship between favorite game and passing a statistic class. Therefore, we conclude that understanding statistics and probability is related to favoring games with better winning odds.