Statistics for business and economics 11th edition solutions manual

Categories : Solution manuals , TestBank. Download Free Sample. The authors clearly demonstrate how statistical results provide insights into business decisions and present solutions to contemporary business problems.

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We sell potential questions and answers that instructors and teachers based on when making exams and tests. All orders are kept anonymous and safe. We do not record not share client details for any reason. From , it is fairly evenly divided between electricity and natural gas. Since almost all new buildings are using electricity or natural gas with natural gas being the clear leader. The average air quality is about the same. But, the variability is greater in Anaheim.

Thus, half of , or 2. No outliers. If you know the change in either, you will have a good idea of the stock market performance for the day. Introduction to Probability 4. Requirement 4. Use the relative frequency method. Divide by the total adult population of Age Number Probability 18 to 24 Mutually exclusive events are dependent. Yes, the probability of default is greater than. So, if an accident leads to a fatality, the probability a small car was involved is. We should display the offer that appeals to female visitors.

Discrete Probability Distributions 2. Continuous The expected value of a 3 - point shot is higher. So, if these probabilities hold up, the team will make more points in the long run with the 3 - point shot. Since the shipment is large we can assume that the probabilities do not change from trial to trial and use the binomial probability distribution.

Continuous Probability Distributions 2. The z value corresponding to a cumulative probability of. The area to the left of z is 1 -. Reducing the process standard deviation causes a substantial reduction in the number of defects. Sampling and Sampling Distributions 3. The probability of spending this much or less is only. Interval Estimation 7. Section 8. As the confidence level increases, there is a larger margin of error and a wider confidence interval.

This modest positive skewness in the data set can be expected to exist in the population. Regardless of skewness, this is a pretty small data set. Consider using a larger sample next time.

Hypothesis Testing 1. There is no statistical evidence that the new bonus plan increases sales volume. We can conclude that the new bonus plan increases the mean sales volume. A mistake could be implementing the plan when it does not help. This could lead to not implementing a plan that would increase sales. We are unable to conclude there has been a change in the mean CNN viewing audience.

The sample mean of thousand viewers is encouraging but not conclusive for the sample of 40 days. Recommend additional viewer audience data. A larger sample should help clarify the situation for CNN. No reason to change from the 2 hours for cost estimating purposes. Conclude that there has been a significant increase in the intent to watch the TV programs.

These studies help companies and advertising firms evaluate the impact and benefit of commercials. This would suggest not using the proportion of DJIA stocks going up on a daily basis as a predictor of the proportion of NYSE stocks going up on that day. We should conclude that Medicare spending per enrollee in Indianapolis is less than the national average. There is not a statistically significant difference between the National mean price per gallon and the mean price per gallon in the Lower Atlantic states.

The proportion of workers not required to contribute to their company sponsored health care plan has declined. There seems to be a trend toward companies requiring employees to share the cost of health care benefits. Statistical Inference about Means and Proportions with Two populations 7. The population mean duration of games in is less than the population mean in Learn how to recognize when a data distribution is negatively skewed, symmetric, and positively skewed.

Be able to use and interpret the exploratory data analysis technique of a stem-and-leaf display. Learn how to construct and interpret cross tabulations and scatter diagrams of bivariate data. Solutions: 1. Class Frequency Percent Frequency A.

Yes Categorical b. CSI had the largest viewing audience. Desperate Housewives was in second place. Most common: Smith, Johnson and Williams 6. ABC is a close third with The fact that the three networks are so close is surprising. FOX, the newest television network, does not have the history to compete with the other three networks in term of the top rated shows in television history.

Rating Frequency Relative Frequency Outstanding 19 0. Comparing these ratings with previous results will show whether or not the restaurant is making improvements in its ratings of food quality. Position Frequency Relative Frequency Pitcher 17 0. Infielders 16 or Where do you live now?

What do you consider the ideal community? Suburb living is steady, but the trend would be that living in the city would decline while living in small towns and rural areas would increase. Both countries show pessimism and relatively low confidence in how the banks are handling the credit problems in the financial markets. Class Frequency Percent Frequency 6. Waiting Time Frequency Relative Frequency 0 - 4 4 0. Salary Frequency 1 3 7 5 1 2 1 Total 20 b.

Salary Percent Frequency 5 15 35 25 5 10 5 Total Salary Cumulative Percent Frequency Less than or equal to 5 Less than or equal to 20 Less than or equal to 55 Less than or equal to 80 Less than or equal to 85 Less than or equal to 95 Less than or equal to Total d.

There is skewness to the right. A class size of 10 results in 10 classes. The general shape of the distribution is skewed to the right. A variety of comparisons are possible depending upon when the study is done. Spending Frequency Percent 3 12 6 24 5 20 5 20 3 12 1 4 0 0 1 4 1 4 Total 25 The distribution shows a positive skewness.

Histogram of Off-Course Income Note: The first class is labeled and provides the golfers who had an off-course income in the range 0 to or less than Off-course income is skewed to the right.

The majority of the computer users are in the 3 to 6 hour range. Usage is somewhat skewed toward the right with 3 users in the 12 to Rotating the stem-and-leaf display counter clockwise shows a histogram that is slightly skewed to the left but is roughly symmetric. There are a couple of outliers. Observations such as the following can be made using the stem-and-leaf display.

Most frequent age group: with 9 runners c. Category A values for x are always associated with category 1 values for y. Category B values for x are usually associated with category 1 values for y. Category C values for x are usually associated with category 2 values for y.

There is a negative relationship between x and y; y decreases as x increases. Graduate The first five give the percent frequency distribution of income for each educational level. The total row provides an overall percent frequency distribution for household income. The second row, labeled H. Graduate, is the percent frequency distribution for households headed by high school graduates. The fourth row, labeled Bachelor's Degree, is the percent frequency distribution for households headed by bachelor's degree recipients.

The percent frequency histogram for high school graduates. Yes, there is a positive relationship between education level and income. The first five columns give the percent frequency distributions for each income level.

The percent frequency distribution in the "Total" column gives the overall percent frequency distributions for educational level. From that percent frequency distribution we see that The column percentages show that The row percentages show that These percentages are different because they came from different percent frequency distributions and provide different kinds of information.

Compare the "under 25" percent frequency distributions to the "Total" percent frequency distributions. We see that for this low income level the percentage with lower levels of education is higher than for the overall population and the percentage with higher levels of education is lower than for the overall population.

Compare the " or more" percent frequency distribution to "Total" percent frequency distribution. We see that for this high income level the percentage with lower levels of education is lower than for the overall population and the percentage with higher levels of education is higher than for the overall population.

From the comparisons it is clear that there is a positive relationship between household incomes and the education level of the head of the household. The crosstabulation of condition of the greens by gender is below. So, for the low handicappers, the men show a higher percentage who think the greens are too fast. So, for the higher handicap golfers, the men show a higher percentage who think the greens are too fast.

This is an example of Simpson's Paradox. At each handicap level a smaller percentage of the women think the greens are too fast.