\( Q_{1}=14 \) \( Q_{2}=18 \) \( Q_{3}=24 \) (b) Interpret the meaning of the first quartile \( Q_{1}: \) Select an answer \( \sim \% \) of companies in the auto parts business have estimated market values that are Select an answer \( \checkmark \$ \) Select an answer \( \checkmark \) million dollars.

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

Если у вас есть набор данных: (2,3), (4,5), (6,7), как вы можете изобразить эти точки на диаграмме рассеяния?

Если у вас есть набор данных: (2,3), (4,5), (6,7), как вы можете изобразить эти точки на диаграмме рассеяния?

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