A nutritionist wants to determine how much time nationally people spend eating and drinking Suppose for a random sample of 1022 people age 15 or older, the mean amount of time spent eating or drinking per day is 1.89 hours with a standard deviation of 0.72 hour. Complete parts (a) through (d) below. (a) A histogram of time spent eating and drinking each day is skewed right. Use this result to explain why a large sample size is needed to construct a confidence interval for the mean time spent eating and drinking each day. O A. The distribution of the sample mean will always be approximately normal. OB. The distribution of the sample mean will never be approximately nomal. OC. Since the distribution of time spent eating and drinking each day is not normally distributed (skewed right), the sample must be large so that the distribution of the sample mean will be approximately normal. OD. Since the distribution of time spent eating and drinking each day is normally distributed, the sample must be large so that the distribution of the sample mean will be approximately normal. (b) There are more than 200 million people nationally age 15 or older. Explain why this, along with the fact that the data were obtained using a random sample, satisfies the requirements for constructing a confidence interval. OA. The sample size is greater than 10% of the population. OB. The sample size is greater than 5% of the population. OC. The sample size is less than 10% of the population. OD. The sample size is less than 5% of the population. (c) Determine and interpret a 95% confidence interval for the mean amount of time Americans age 15 or older spend eating and drinking each day. Select the correct choice below and fil in the answer boxes, if applicable, in your choice. (Type integers or decimals rounded to three decimal places as needed. Use ascending order.) O A. There is a 95% probability that the mean amount of time spent eating or drinking per day is between and hours. O B. The nutritionist is 95% confident that the amount of time spent eating or drinking per day for any individual is between and hours. OC. The nutritionist is 95% confident that the mean amount of time spent eating or drinking per day is between and hours OD. The requirements for constructing a confidence interval are not satisfied. (d) Could the interval be used to estimate the mean amount of time a 9-year-old spends eating and drinking each day? Explain. O A. No; the interval is about individual time spent eating or drinking per day and cannot be used to find the mean time spent eating or drinking per day for specific age. O B. Yes; the interval is about the mean amount of time spent eating or drinking per day for people people age 15 or older and can be used to find the mean amount of time spent eating or drinking per day for 9-year-olds. OC. Yes; the interval is about individual time spent eating or drinking per day and can be used to find the mean amount of time a 9-year-old spends eating and drinking each day. O D. No: the interval is about people age 15 or older. The mean amount of time spent eating or drinking per day for 9-year-olds may differ. O E. A confidence interval could not be constructed in part (c)
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
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