Looking at the effect of making changes to n and confidence level in the class problems: When a smaller sample size is taken, the error gets smaller or larger?

I In your own words, what is mean absolute deviation and how do we calculate it?

How many apps? According to a website, the mean number of apps on a smartphone in the United States is 95 . Assume the number of apps is normally distributed with mean 95 and standard deviation 25 . Part: \( 0 / 2 \) Part 1 of 2 (a) What proportion of phones have more than 135 apps? Round the answer to four decimal places. The proportion of phones that have more than 135 apps is

How many apps? According to a website, the mean number of apps on a smartphone in the United States is 95 . Assume the number of apps is normally distributed with mean 95 and standard deviation 25 . Part 1 of 2 (a) What proportion of phones have more than 135 apps? Round the answer to four decimal places. The proportion of phones that have more than 135 apps is 0.0548 . Part; \( \mathbf{1} / 22 \) of 2 (b) Find the \( 95^{\text {th }} \) percentile of the number of apps. Round the answer to two decimal places. The \( 95^{\text {th }} \) percentile of the number of apps is (a).

Based on past experience, a bank believes that \( 9 \% \) of the people who receive loans will not make their payments on time. The bank has recently approved 200 loans. a. Write about and check each of the conditions needed in the context of this situation to use the sampling distribution for the proportion of people who will not make their payments on time (Central Limit Theorem). Conditions: distritution for the proportion of people who make their payment on time based on the cental limit theorem. we can proceeds to analyze the proportion of the sameple that does not make payment on time using normal approximation methods. What are the mean and standard deviation of this model? b. Mean = 18 c. Standard deviation (accurate to 4 decimal places) \( =4.047 \) d. What is the probability that \( 10 \% \) or more of these clients will not make timely payments to 4 decimal places? 0.312 .

Based on historical data at Oxnard college, they believe that \( 42 \% \) of freshmen do not visit their advisors regularly. For this year, you would like to obtain a new sample to estimate the proportion of freshmen who do not visit their advisors regularly. You would like to be \( 90 \% \) confident with a margin of error of \( 4 \% \). Assume the conditions are met and use the appropriate formula to determine how many people you would need to sample. \( n=412 \) Show your steps on paper or in the add work box: Question Help: