During your research on a topic, you run across a blog site where several people posted that fuel prices have gone up \( 10 \% \) in the last six months. You can provide this data in your presentation as which of the following? People across the country are reporting that gas prices have gone up \( 10 \% \) in the last six months. Gas prices have gone up \( 10 \% \) in the last six months. Typical of opinions across the country, users on blahblah-blog.com have mentioned that gas prices have gone up \( 10 \% \) in the last six months.

The regression equation is \( \bar{y}=4.2 \) decimal places if necessary.) For \( x=5.8, \hat{y}=74.66 \) (Round to two decimal places if necessary.) For \( x=11.5, \hat{y}=98.6 \) The prenatal care percent for 11.5 interpolation, while the one for 5.8

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. Enter an integer or decimal number [more..] Show your steps on paper or in the add work box: Question Help: \( \square \) Message instructor Add Work

Question 10 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: \( \begin{array}{l}\text { distritution for the proportion of people who make their payment on } \\ \text { time based on the cental limit theorem. we can proceeds to analyze } \\ \text { the proportion of the sameple that does not make payment on time } \\ \text { using normal approximation methods. } \\ \text { What are the mean and standard deviation of this model? } \\ \text { b. Mean = } 18 \\ \text { c. Standard deviation (accurate to } 4 \text { decimal places) }=4.047 \\ \text { d. What is the probability that } 10 \% \text { or more of these clients will not make timely } \\ \text { payments to } 4 \text { decimal places? } 0.311 \text {. } \\ \text { Question Help: } \square \text { Message instructor } \\ \text { Add Work }\end{array} \).

A person's blood glucose level and diabetes are dosely related. Let \( x \) be a random variable measured in milligrams of glucose per deciliter ( \( 1 / 10 \) of a liter) of blood. Suppose that after a 12 -hoi fast, the random variable \( x \) will have a distribution that is approximately normal with mean \( \mu=87 \) and standard deviation \( \sigma=23 \). Note: After 50 years of age, both the mean and standard deviation tend to increase. For an adult (under 50 ) after a 12-hour fast, find the following probabilities. (Round your answers to four decimal places.) (a) \( x \) is more than 60 (b) \( x \) is less than 110 (c) \( x \) is between 60 and 110 (d) \( x \) is greater than 125 (borderline diabetes starts at 125 )

Question 8 The heights of 10 -year-olds, regardless of gender, closely follow a Normal distribution with a mean of 56 inches and a standard deviation of 5 inches. a. What is the probability that a randomly chosen 10 -year-old is shorter than 48 inches? (Round to 4 decimal places.) b. If the tallest \( 10 \% \) of the class is considered "very tall", what is the height cutoff for "very tall"? (Round to 2 decimal places.) [SAB2]