Sophia Intro to Statistics Unit 5.

Intro to Statistics: Unit 5 Which of the following is an example of a parameter? A.) 50 random students are asked how much they spent on supplies B.) 30 random adults are asked how much they spent on health insurance ...

Intro to Statistics: Unit 5 Which of the following is an example of a parameter? A.) 50 random students are asked how much they spent on supplies B.) 30 random adults are asked how much they spent on health insurance C.) Average number of all adults who smoke regularly D.) Summary value of a sample Which of the following is an example of a statistic? A.) Standard deviation of all financial aid packages for private universities B.) $18,000 is the average cost to attend 30 randomly selected public universities C.) A value used to represent a population D.) Average number of all high school graduates who will attend college Which of the following is an example of a statistic? A.) Average number of all high school graduates who will attend college B.) 25 random students are asked how much they spent on books C.) Summary value of a population D.) Standard deviation of tuition costs for all private universities If Blake is sampling 40 students without replacement, the minimum population size would have to be greater than ________ to treat the observations as independent. A.) 400 B.) 80 C.) 200 D.) 600 If Myra is sampling 30 students without replacement, the minimum population size would have to be greater than ________ to treat the observations as independent. A.) 600 B.) 60 C.) 150 D.) 300 If Jason is sampling 35 students without replacement, the minimum population size would have to be greater than ________ to treat the observations as independent. A.) 300 B.) 250 C.) 350 D.) 70 Select the FALSE statement regarding the relationship between sampling error and sample size. A.) Increasing the sample size will decrease the sampling error. B.) An estimate becomes more accurate as you increase the sample size. C.) As a sample size decreases, the standard deviation increases. D.) You can resolve poor data collection by increasing the sample size. This study source was downloaded by 100000805751619 from CourseHero.com on 04-29-2023 08:20:22 GMT -05:00 https://www.coursehero.com/file/140061641/Intro-to-Statistics-Unit-5-Sophiadocx/ Select the TRUE statement regarding the relationship between sampling error and sample size. A.) Sample size does not have an impact on sampling error. B.) As sample size decreases, sampling error decreases. C.) As sample size increases, sampling error decreases. D.) As sample size increases, sampling error increases. Select the FALSE statement regarding the relationship between sampling error and sample size. A.) In order to decrease sampling error, you must increase the sample size. B.) The standard error increases as the sample size increases. C.) The larger the sample size, the more accurate an estimate can be. D.) The sample size can impact the sampling error. Which of the following is true about the distribution of sample means? A.) The mean distribution of sample means is the same as the population mean. B.) The mean distribution of sample means is more variable than population means. C.) The mean distribution of sample means is normally greater than the population mean. D.) The mean distribution of sample means is normally less than the population mean. Select the true statement about the relationship between sample size and the standard deviation of distribution of sample means, also known as the standard error. A.) As the sample size increases, standard error increases. B.) As sample size decreases, standard error decreases. C.) Sample size does not have an impact on standard error. D.) As sample size increases, standard error decreases. If a sample size is greater than 30, which of the following characteristics of the distribution of sample means is true? A.) The distribution of sample means has a binomial distribution. B.) The sample size needs to be increased by 10% so we can apply the Central Limit Theorem. C.) The distribution of sample means is approximately normal. D.) Nothing can be assumed about the distribution of sample means. Jeanette really loves apple-flavored Fruity Tooty candies, but there always seems to be a lot of cherry- flavored candies in each bag. To determine whether this is because cherry candies are so popular or because each bag contains fewer apple candies, Jeanette randomly picks a Fruity Tooty candy from her bag, records its flavor, and places it back in the bag. Each bag contains a mixture of cherry, grape, apple, lemon, and orange flavors. Which statement about Jeanette's distribution of sample proportions is true? A.) The distribution of the count of picking a cherry candy cannot be modeled as approximately normal if Jeanette picks candies over 100 times. B.) The count of drawing an orange candy has a binomial distribution. C.) The count of drawing an apple candy is not a binomial distribution. D.) The distribution of the count of picking a lemon candy can be modeled as approximately normal if Jeanette picks candies 15 times.