Kindly solve the following questions?
Consider the following financial statement data for Flip Sound Systems: Flip Sound Systems Financial Statement Data Item Beginning Balance Ending Balance Inventory 10,122 12,028 Accounts Receivable 6,768 7.266 Accounts Payable 8,944 10,205 Net Sales 99,903 Cost of Goods Sold 59,999 What is Flip's Cash Cycle? (Round answers to 1 decimal place. Do not round intermediate calculations)The following is from the financial statements of Exquisite Ensembles: 2020 2019 2018 Net sales $1,260,000 $1,020,000 $850,000 Accounts receivable (Dec 31) 92,800 88,000 84.200 Calculate Exquisite Ensembles' accounts receivable turnover for 2019 and 2020. Compare the two results and give a possible explanation for any significant change. Calculations: 2019 accounts receivable turnover:1. Which one of the following pairs is mismatched? a. Bayesian -- prior probability b. bootstrap = sample with replacement C. Bayesian -- credible interval d. Bayesian -- posterior probability e. Monte Carlo - data simulation f. random variables -- Pearson correlation g. permutation -- sample with replacement h. none of the above 2. Which among the alternatives below, best describes the x, y data in the graph. a, strong negative correlation b. a nonlinear relationship C. no correlation present d. weak positive correlation e. strong positive comelation f. weak negative correlation g. none of the above 3. Which of the following is true about the bivariate normal probability distribution? a. it's a univariate probability distribution b, it's identical to the normal distribution c. it's an assumption of Pearson r method d. it's an assumption of Spearman r method 4. In testing Pearson r for statistical significance, we use the a. non-central F distribution b. Normal distribution c. chi-square distribution d. t-distribution e. bivariate normal distribution 5. Which of the following influences the statistical power of a correlation test a. sample size b. sidedness of test c. alpha d. the chosen, correlation method e. all of the above14. When comparing Pearson correlations of 0.8 and 0.9, it is actually better to compare a. 0.64 and 0.81 b. 8% and 9% C. (1 - B) and (1 - 9) d. 80 % and 90%% e. 0.B and 0,9 f. none of the above 15. Which among the alternatives below, best describes the x, y data in the graph. a. no correlation present b. weak negative correlation c. a nonlinear relationship d. a cloud of points e. a strong nonlinear relationship f. strong negative correlation g. strong positive correlation h. weak positive correlation I. none of the above 16. It's a good idea to construct a scatter plot before conducting Pearson correlation analysis because a, outliers may vitiate parametric correlation b. there's no point computing correlation if points fall on a straight line C. different methods are used for positive versus negative correlation d. one should only compute correlation if there's a clear curvilinear trend e. a person's visual impression about correlation overrides statistical analysis f. none of the above 17. A visualization that allows one to estimate the relationship between two x, y paired, numeric variables of any sample size, is a a. box plot b. histogram c. strip chant d, bar graph e. violin plot f. stem-and-leaf display g. none of the above 18. When testing Pearson r for significance, the null hypothesis is a. r is large b. r-square is 95% C. r is not zero d. r is invalid e. r is small f. r is zero g. r-square is 5% h. none of the above
