8.

(a) Your local Be-Computer store has received 10 containers with 100 bePads in each container. Each bePad is marked to identify the container it is from. Other than that, all bePads are identical and weigh exactly one pound, except for those in one container that have a manufacturing defect. Those defective bePads weigh exactly 17 ounces each. You are asked to identify the bad container. Of course, you could weigh one bePad from each container until your scale measures 17 ounces. But this process may take 10 weighings and you are asked to instead use only one single weighing. The good news is that your scale is an industrial grade (single platform) scale and you can place any number of bePads on its platform. How then do you identify the problematic container by finding the weight of just one collection of bePads selected from various containers?

(b) Having heard of your success with single weighings, the next town’s Be-Computer store calls you for help. They have received 7 containers (with 100 bePads in each) and know that some of these containers may be coming from the lot of defective 17-ounce bePads. However, they don’t know how many containers are bad. It could be any number, including all or none. How can you in a single weighing identify all the bad containers?

A basketball team sells tickets that cost​ $10, $20,​ or, for VIP​ seats,​ $30. The team has sold 3401 tickets overall. It has sold 176

more​ $20 tickets than​ $10 tickets. The total sales are ​$66,100. How many tickets of each kind have been​ sold?

How many​ $10 tickets were​ sold?----------------

How many​ $20 tickets were​ sold?--------------------

How many​ $30 tickets were​ sold?--------------------

.

What excel codes would one need to complete the following functions?

From the original sample of 100 data values you generated (including any outliers), create a new data column and label it as Measles. Use the following criteria to define the measles percent as either low, mid or high.

1. Use the data on lettuce yields in Exercise 2.2.

1. Compute the analysis of variance for the dat
2. Determine the best polynomial response function that describes the relationship between lettuce yield and nitrogen fertilizer at the .05 level of significance.
3. Plot the observed means along with the estimated equation.

(Can you give me an example of data and calculations from this example below?) Hypothesis testing for the mean and P-values, left tailed and right tailed, z test... An example to use could be if a weight loss product, which would be a list of meal plans, works. You could gather 100 people that are subscribers and users of this program and calculate the amount of weight they are losing within a span of 6 months. The claim could be that the program would have you lose up to 50 pounds in the 6 month time frame.

which of the following is NOT a measure of dispersion?

standard deviation

mode

range

variance

Academic drops have been a concern for university administration due to the negative impact they have on graduation rates and consequently the image of the university.

The Management Department has collected the data for 10 semesters with the following results:

Academic drops from the last 20 to 10 semesters have been:

10, 7, 8, 9, 8, 6, 10, 12, 8, 10.

Has the Management Department seen a significant change in the number of academic drops over the last 5 years?

              b.    The 10 most recent semesters of sample data are: 5, 6, 8, 4, 2, 4, 3, 4, 3, 2.

              c.    Based on your evaluation of these data should the Management Department change their program to lower academic drops?

5. You want to see if smoking marijuana has any effect (positive or negative) on memory span. You pre-test subjects on the memory span measure, then pair up subjects who have the same memory test score.  After matching the subjects, you conduct the actual experiment. One member of each of the 15 pairs of subjects is assigned at random to smoke a marijuana cigarette; the other member of each pair is assigned to smoke a cigarette that doesn't contain any of the psychoactive ingredient in marijuana, THC (placebo). After smoking, every subject takes the memory span test again.  The results of this second test are tabled below. Test the relevant hypothesis at the alpha = .05 level.

Bay Street securities firms paid out record year-end bonuses of $130,500 per employee for 2014. Suppose we would like to take a sample of employees at the Roy-West securities firm to see whether the mean year-end bonus is greater than the reported mean of $130,500 for the population. (a)State the null and alternative hypothesis you would use to test whether the year end bonuses paid by Roy-West where greater than the population mean. b. Suppose a sample of 60 Roy-West employees showed a sample mean year-end bonus of $150,000. Assume a population standard deviation of $20,000 and compute the p-value. c. with α=0.05 as level of significance, what is your conclusion? d. Repeat the preceding hypothesis test using critical value approach.

4. In a recent study, approximately 42.5% of college students had student loans. A researcher was interested in determining if the proportion of students that took out student loans differed by the field in which they were studying in. The following data below was collected on 865 college students in seven different fields of study. Test at α = 0.05 to determine if there are significant differences in the proportions of students that take out student loans for each of the fields.

1. The researchers then decide to investigate whether employees working under sub-standard conditions experience greater workplace cohesion than the population of all workers (whose mean score is 73). Test your hypothesis and interpret your result.

                                          Sub-standard   Above average       Difference (sub-above)

               x 88.00     69.00     19.00

               s 7.00     12.00     4.00

               n   58.00     70.00     58.00

Type of test: _____________________________________________________________

Null & alternative hypotheses (either words or symbols is fine):

H₁:           

H₀:                                                                                                                       

Formula(s):

Calculations:

t =                                t_critical =                                      df =   

Null hypothesis (circle one):              REJECT                      RETAIN

Significant effect (circle one):            SIGNIFICANT           NON-SIGNIFICANT

Verbal conclusion (use names of variables):

The following is the number of minutes to commute from home to work for a group of 25 automobile executives.

1. How many classes would you recommend?
2. What class interval would you suggest? (Round up your answer to the next whole number.)
3. Organize the data and plot a frequency distribution on a piece of paper. Comment on the shape of the frequency distribution. a.) It is not symmetric. b.)It is fairly symmetric, with most of the values between 40 and 49. c.)It is not very symmetric, but most of the values lie between 40 and 49.

home / study / math / statistics and probability / statistics and probability questions and answers / we are going to play a game of chance. we will roll a die (half of a pair of dice) and if it ... Your question has been answered Let us know if you got a helpful answer. Rate this answer Question: We are going to play a game of chance. We will roll a die (half of a pair of dice) and if it come... We are going to play a game of chance. We will roll a die (half of a pair of dice) and if it comes up with one or two spots showing, you win and I will pay you $1.50. If it comes up with three, four, five, or six spots showing, you lose and you will pay me $1.00. So, the probability that you will win is 1/3 and the probability you will lose is 2/3. What is the expected value of this game for you?

1. Finally, the researchers are interested in whether workplace cohesion attitudes change, as employees move from sub-optimal working conditions to above average working conditions. They collect data from the same employees, first when working under sub-optimal conditions and then one month after moving to above average conditions. Test for this hypothesis based on the new data below.

                                                Sub-standard   Above average       Difference (sub-above)

x    80.00 76.00 4.00

                     s 6.00 8.00 3.00

                     n   40.00 36.00 36.00

Type of test: ___________________________________________________________

Null & alternative hypotheses (either words or symbols is fine):

H₁:           

H₀:                                                                                                                       

Formula(s):

Calculations:

t =                                t_critical =                                      df =   

Null hypothesis (circle one):              REJECT                      RETAIN

Significant effect (circle one):            SIGNIFICANT           NON-SIGNIFICANT

Verbal conclusion (use names of variables):