Living poycheck to paycheck means that you need every bit of your paycheck to meet your expenses which drains your balance back down to near $0 before your next paycheck arrives and then you start the cycle again. As a result, you
don't have savings to fall back on, every dollar counts, and you're faced with tough decisions on a daily basis. In this
activity, you'll experience what it's like to live paycheck to paycheck by playing the game Spent. At the start of the game,
you are faced with the following scenario:
Over 14 million Americans are unemployed. Now imagine you're one of them. Your
savings are gone. You've lost your house. And you're down to your lost $1,000. Can
you make it through the month?
1
How do you feel about your situation? Do you think you can live 30 days with $1,000? Explain
Part Il Play the Game
2 Go to slovo. Click on Continue to Spent on the right side of the screen to start the game and play it all
the way through
How do you feel about your situation? Do you think you can live 30 days with 1,000? Explain

(20 points) a bank has been receiving complaints from real estate agents that their customers have been waiting too long for mortgage confirmations. the bank prides itself on its mortgage application process and decides to investigate the claims. the bank manager takes a random sample of 20 customers whose mortgage applications have been processed in the last 6 months and finds the following wait times (in days): 5, 7, 22, 4, 12, 9, 9, 14, 3, 6, 5, 15, 10, 17, 12, 10, 9, 4, 10, 13 assume that the random variable x measures the number of days a customer waits for mortgage processing at this bank, and assume that x is normally distributed. 2a. find the sample mean of this data (x ě…). 2b. find the sample variance of x. find the variance of x ě…. for (c), (d), and (e), use the appropriate t-distribution 2c. find the 90% confidence interval for the population mean (îľ). 2d. test the hypothesis that îľ is equal to 7 at the 95% confidence level. (should you do a one-tailed or two-tailed test here? ) 2e. what is the approximate p-value of this hypothesis?