Testing whether a part is defective or not defective after it has been manufactured would be best described using a binomial probability distribution
True or False
Question 2 of 40
Suppose the average amount spent per shopper at the Super Fresh Grocery Store last month was $46.10. A sample of 25 transactions from last month was randomly selected. Another random sample of 50 transactions was also collected. You can be certain that the sampling error from the sample of 50 customers will be less than the sampling error from the 25 customers
Question 3 of 40 Pareto charts are a specific type of bar chart used in quality control programs by businesses to display the causes of problems graphically
Question 4 of 40 The area under the curve of the normal probability distribution is always equal to 1.0
Question 5 of 40 Two events cannot be both independent and mutually exclusive True False
Question 6 of 40 The time it takes for a professor to grade an exam is normally distributed with a mean of 12.6 minutes and a standard deviation of 2.5 minutes. What is the probability that a randomly selected exam will require between 11 and 15 minutes to grade? 0.4875 0.5704 0.7567 0.9637
Question 7 of 40 Consider the following events: Event A = The survey respondent is less than 40 years old. Event B = The survey respondent is 40 years or older. Events A and B are mutually exclusive and collectively exhaustive True False
Question 8 of 40 The ________ is the value that appears most often in a data set. mean median mode range
Question 9 of 40 Sampling error is the difference between a sample statistic and a population parameter True False
Question 10 of 40 The equation used to calculate binomial probabilities relies on permutations of n objects selected x at a time True False
Question 11 of 40 The z-score has no units even though the original values will normally be expressed in units such as dollars, years, pounds, or calories True False
Question 12 of 40 Which of the following is not a condition of a discrete probability distribution? Each outcome in the distribution needs to be mutually exclusive with other outcomes in the distribution. The probability of a success must exceed the probability of a failure. The probability of each outcome, P(x), must be between 0 and 1 (inclusive). . D) The sum of the probabilities for all of the outcomes in the distribution needs to add up to 1.
Question 13 of 40 The time between customer arrivals is a common application for the uniform probability distribution True False
Question 14 of 40 The ________ is the most common and most important measure of variability in the field of statistics. range variance median standard deviation
Question 15 of 40 Deanna has been hired to visit the local shopping mall to conduct a survey about the upcoming political election. She needs to select respondents at the mall and ask them questions about their voting tendencies. Deanna decides to walk around the mall and select shoppers to participate. Which of the following sampling techniques best describes Deanna’s method? Systematic Convenience Simple random Stratified
Question 16 of 40 The mean and the variance are equal for a ________ probability distribution. binomial uniform normal Poisson
Question 17 of 40 “No shows” are the people with reservations who fail to arrive. The following table shows the number of no shows each day at a hotel over the last 125 business days. What is the probability that there will be more than one no show today? 0.113 0.147 0.205 0.232
Question 18 of 40 Income and age are examples of data that are technically discrete but are normally displayed in a continuous format True False Question 19 of 40 The process of measuring or observing an activity for the purpose of collecting data is known as a(n) experiment. sample space. simple event. simple probability.
Question 20 of 40 Continuous data is often the result of measuring observations rather than counting them True False
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