Do engineers work more hours per week than the national average hours per week worked?
[ Choose ] Two-sided test One-sided lower test One-sided upper test
Is the gas mileage of a smart for two coupe really less than 40 mpg? (According to the 2013 EPA gas mileage figures, the answer is yes. Doesn't seem that smart…)
[ Choose ] Two-sided test One-sided lower test One-sided upper test
Is the voltage produced by AAA batteries equal to 1.5 V?
[ Choose ] Two-sided test One-sided lower test One-sided upper test
Match each of the following questions with the type of hypothesis test that would be most appropriate.
Group of answer choices
Is the stopping distance on dry asphalt of a Nissan Armada initially traveling at 60 mph is equal to 262 ft?
[ Choose ] One-sided upper test Two-sided test One-sided lower test
Is the weight that can be carried by a carbon fiber bicycle frame greater than 200 lbs?
[ Choose ] One-sided upper test Two-sided test One-sided lower test
Is the breaking strength of seat belt webbing lower than the strength specified in a government safety standard?
[ Choose ] One-sided upper test Two-sided test One-sided lower test
Suppose you are testing ground water samples for the presence of salt. A level of salt of less than 50 mg/L is desired. You decide to perform a statistical hypothesis test to determine from the salt concentrations in 16 ground water samples whether the salt concentration is below 50 mg/L. Which of the following tests would you use?
Group of answer choices
This two-sided test:
H0: μ = 50 mg/L
H1: μ ≠ 50 mg/L
This one-sided test:
H0: μ = 50 mg/L
H1: μ < 50 mg/L
This one-sided test:
H0: μ = 50 mg/L
H1: μ > 50 mg/L
This two-sided test:
H0: μ = 50 mg/L
H1: μ = 45 mg/L
Suppose you are determining whether the depth of groves cut into aluminum by a milling machine is deeper than 1.7 mm. You cut 14 groves, then measure the depth of each one. With these measurements, you perform a statistical hypothesis test to determine whether the groove depth is deeper than 1.7 mm. Which of the following tests would you use?
Group of answer choices
This two-sided test:
H0: μ = 1.7 mm
H1: μ ≠ 1.7 mm
This one-sided test:
H0: μ = 1.7 mm
H1: μ < 1.7 mm
This one-sided test:
H0: μ = 1.7 mm
H1: μ > 1.7 mm
This two-sided test:
H0: μ > 1.7 mm
H1: μ = 1.5 mm
In: Statistics and Probability
A statistics professor plans classes so carefully that the lengths of her classes are uniformly distributed between 49.0 and 54.0 minutes. Find the probability that a given class period runs between 51.25 and 51.5 minutes. Find the probability of selecting a class that runs between 51.25 and 51.5 minutes. nothing (Round to three decimal places as needed.)
In: Statistics and Probability
1) Please state which function of money is being used by each of the following activities: Unit of Account (Standard of Value, Medium of Exchange or Store of Value. Please explain the reasoning behind each answer.
(a) Brenda puts $600 into her cookie jar for a rainy day.
(b) Brenda records the money she has spent on gasoline this year.
(c) Brenda buys a $100 Savings Bond.
(d) Brenda uses $2,400 to pay her rent.
2)
(a) Please provide a description of Bank Runs.
(b) Explain the main cause of Bank Runs.
(c) Why do you think we no longer see many Bank Runs today.
In: Economics
Construct a model to predict the Savings based on the following predictors: Education Level, Salary, Cars, Home, and SC Index. The dataset is below . Decide if any predictors should be removed using the p-value criterion and rerun the regression model. Compare the adjusted coefficients of determination.
| Couple | Educ Level | Salary | Cars | Home | SC Index | Savings |
| 1 | 4 | 90 | 19 | 83 | 3 | 289 |
| 2 | 2 | 95 | 35 | 134 | 3 | 1130 |
| 3 | 2 | 99 | 46 | 110 | 5 | 583 |
| 4 | 3 | 130 | 24 | 69 | 7 | 1049 |
| 5 | 4 | 126 | 42 | 153 | 7 | 612 |
| 6 | 2 | 73 | 35 | 127 | 2 | 650 |
| 7 | 3 | 111 | 34 | 98 | 7 | 675 |
| 8 | 4 | 140 | 53 | 191 | 9 | 347 |
| 9 | 2 | 52 | 33 | 119 | 2 | 420 |
| 10 | 2 | 99 | 50 | 147 | 6 | 39 |
| 11 | 4 | 101 | 40 | 132 | 3 | 5 |
| 12 | 3 | 134 | 50 | 208 | 10 | 553 |
| 13 | 2 | 62 | 36 | 91 | 1 | 659 |
| 14 | 3 | 139 | 45 | 258 | 8 | 648 |
| 15 | 4 | 84 | 21 | 221 | 4 | 5 |
| 16 | 2 | 46 | 28 | 124 | 1 | 630 |
| 17 | 4 | 104 | 40 | 184 | 2 | 698 |
| 18 | 1 | 54 | 21 | 50 | 1 | 1247 |
| 19 | 2 | 88 | 49 | 193 | 4 | 471 |
| 20 | 3 | 119 | 57 | 265 | 10 | 81 |
In: Statistics and Probability
Which one of the following REs represents the language of all binary strings having two consecutive 0s and two consecutive 1s?
a. (0 + 1)*00(0 + 1)* + (0 + 1)*11(0 + 1)*
b. (0 + 1)*0011(0 + 1)* + (0 + 1)*1100(0 + 1)*
c.(0 + 1)*(00(0 + 1)*11 + 11(0 + 1)*00)(0 + 1)*
d. 00(0 + 1)*11 + 11(0 + 1)*00
In: Computer Science
(Operations Management) The grocery store gets an average of 50 customers per shift. The manager wants to calculate whether he should hire one, two, three, or four salespeople. The average waiting times will be seven minutes with one salesperson, four minutes with two salespeople, three minutes with three salespeople, and two minutes with four salespeople. He has estimated the cost per minute that customers wait at $1. The cost per salesperson per shift (including fringe benefits) is $70. Analyze to determine how many salespeople should be hired?
In: Operations Management
Q2. Now that you know the answer to the above question, you decide that you want to predict the amount of trash that all of them can pick up. You find strong correlations between certain data points and trash collected, and you want to develop a predictive model to see the result. Use the attached data (Trash data) to forma multiple regression model, and explain the usefulness of the model. Use the analysis tool in Excel to calculate the model (use regression). Your Y data is the lbs of trash, and your x data is everything else. Play with some of the checkboxes as well to see what the program will do. Again, explain your result, and why it is important…
| Lbs processed | Workers | animal weight | knives | hours |
| 200 | 8 | 100 | 10 | 25 |
| 156 | 5 | 80 | 8 | 33 |
| 145 | 5 | 100 | 8 | 25 |
| 178 | 6 | 90 | 8 | 26 |
| 135 | 4 | 80 | 8 | 28 |
| 167 | 4 | 90 | 8 | 44 |
| 179 | 8 | 90 | 8 | 22 |
| 213 | 9 | 100 | 11 | 25 |
| 233 | 9 | 140 | 12 | 25 |
| 188 | 5 | 90 | 11 | 33 |
| 180 | 7 | 90 | 12 | 30 |
| 199 | 6 | 90 | 12 | 28 |
| 223 | 8 | 130 | 12 | 22 |
| 221 | 7 | 100 | 11 | 31 |
| 267 | 9 | 140 | 11 | 31 |
| 278 | 11 | 160 | 15 | 25 |
| 145 | 7 | 80 | 8 | 20 |
| 177 | 5 | 100 | 8 | 30 |
| 179 | 6 | 90 | 9 | 25 |
| 177 | 6 | 90 | 6 | 26 |
| 167 | 5 | 80 | 7 | 31 |
| 100 | 3 | 70 | 3 | 34 |
| 99 | 3 | 80 | 3 | 28 |
| 29 | 1 | 70 | 2 | 22 |
| 299 | 14 | 150 | 15 | 27 |
| 137 | 5 | 80 | 11 | 27 |
| 186 | 7 | 90 | 12 | 26 |
| 191 | 7 | 90 | 9 | 27 |
| 231 | 9 | 120 | 12 | 26 |
| 211 | 11 | 120 | 9 | 19 |
| 214 | 12 | 100 | 9 | 22 |
| 300 | 15 | 150 | 19 | 22 |
| 111 | 6 | 50 | 8 | 18 |
| 199 | 5 | 100 | 5 | 44 |
| 187 | 4 | 100 | 8 | 33 |
In: Statistics and Probability
Complete the following four hypotheses, using α = 0.05 for each.
a. Mean sales per week exceeds 41.5 per salesperson
b. Proportion receiving online training is less than 55%
c. Mean calls made among those with no training is less than 145
d. Mean time per call is greater than 15 minutes
1. Using the same data set from part A, perform the hypothesis test for each speculation in order to see if there is evidence to support the manager's belief. Use the Seven Elements of a Test of Hypothesis from Section 7.1 of your text book, as well as the p-value calculation from Section 7.3, and explain your conclusion in simple terms.
2. Compute 99% confidence intervals for each of the variables described in a.-d., and interpret these intervals.
3. Write a report about the results, distilling down the results in a way that would be understandable to someone who does not know statistics. Clear explanations and interpretations are critical.
- Summary Report (about one paragraph on each of the speculations a.- d.)
- Appendix with the calculations of the Seven Elements of a Test of Hypothesis, the p-values, and the confidence intervals. Include the Excel formulas used in the calculations.
| Sales (Y) | Calls (X1) | Time (X2) | Years (X3) | Type |
| 20 | 210 | 8.0 | 1 | NONE |
| 32 | 139 | 16.9 | 4 | NONE |
| 44 | 165 | 15.7 | 3 | ONLINE |
| 47 | 186 | 13.5 | 3 | ONLINE |
| 41 | 180 | 14.0 | 2 | ONLINE |
| 35 | 150 | 13.0 | 4 | ONLINE |
| 32 | 120 | 19.9 | 3 | NONE |
| 46 | 172 | 14.7 | 3 | GROUP |
| 42 | 161 | 13.2 | 1 | GROUP |
| 33 | 143 | 15.4 | 3 | NONE |
| 42 | 181 | 11.5 | 4 | ONLINE |
| 55 | 160 | 17.0 | 3 | NONE |
| 42 | 140 | 17.5 | 2 | GROUP |
| 41 | 198 | 13.2 | 2 | ONLINE |
| 41 | 149 | 17.3 | 0 | ONLINE |
| 44 | 168 | 11.0 | 5 | ONLINE |
| 36 | 121 | 18.0 | 2 | NONE |
| 30 | 125 | 11.0 | 5 | ONLINE |
| 38 | 135 | 18.5 | 1 | GROUP |
| 21 | 185 | 18.9 | 2 | ONLINE |
| 67 | 155 | 17.9 | 1 | NONE |
| 45 | 149 | 13.5 | 1 | ONLINE |
| 52 | 193 | 13.7 | 5 | ONLINE |
| 37 | 159 | 18.1 | 0 | NONE |
| 33 | 152 | 15.0 | 3 | GROUP |
| 31 | 170 | 14.3 | 4 | GROUP |
| 44 | 192 | 16.7 | 1 | GROUP |
| 44 | 165 | 12.4 | 3 | ONLINE |
| 39 | 150 | 15.3 | 3 | GROUP |
| 43 | 174 | 12.7 | 2 | ONLINE |
| 42 | 168 | 16.4 | 0 | ONLINE |
| 49 | 178 | 15.1 | 3 | ONLINE |
| 41 | 164 | 17.8 | 3 | GROUP |
| 40 | 191 | 19.0 | 5 | ONLINE |
| 37 | 132 | 10.0 | 0 | NONE |
| 36 | 140 | 15.7 | 1 | NONE |
| 46 | 171 | 14.9 | 5 | ONLINE |
| 41 | 170 | 12.3 | 0 | ONLINE |
| 49 | 153 | 19.0 | 3 | GROUP |
| 42 | 154 | 14.3 | 2 | GROUP |
| 37 | 142 | 13.9 | 3 | NONE |
| 37 | 130 | 16.9 | 2 | NONE |
| 21 | 177 | 17.0 | 0 | ONLINE |
| 39 | 160 | 14.3 | 4 | NONE |
| 44 | 134 | 19.4 | 5 | GROUP |
| 49 | 131 | 14.6 | 1 | GROUP |
| 35 | 130 | 19.4 | 4 | NONE |
| 46 | 183 | 15.4 | 4 | ONLINE |
| 43 | 169 | 14.0 | 5 | GROUP |
| 41 | 155 | 16.0 | 2 | ONLINE |
| 48 | 182 | 13.0 | 2 | ONLINE |
| 39 | 140 | 12.4 | 1 | NONE |
| 40 | 157 | 15.4 | 1 | ONLINE |
| 48 | 167 | 14.8 | 3 | ONLINE |
| 50 | 144 | 15.8 | 2 | NONE |
| 44 | 168 | 12.4 | 2 | GROUP |
| 43 | 175 | 13.6 | 5 | GROUP |
| 33 | 150 | 14.9 | 2 | GROUP |
| 32 | 155 | 17.9 | 1 | GROUP |
| 46 | 163 | 16.6 | 2 | ONLINE |
| 48 | 162 | 14.5 | 4 | GROUP |
| 56 | 189 | 15.0 | 3 | ONLINE |
| 44 | 153 | 15.3 | 2 | ONLINE |
| 34 | 158 | 14.2 | 3 | ONLINE |
| 43 | 160 | 10.9 | 4 | ONLINE |
| 33 | 173 | 17.5 | 1 | ONLINE |
| 49 | 178 | 18.3 | 2 | GROUP |
| 50 | 189 | 14.3 | 1 | ONLINE |
| 52 | 184 | 11.4 | 4 | ONLINE |
| 45 | 174 | 13.6 | 2 | ONLINE |
| 48 | 188 | 13.6 | 0 | ONLINE |
| 35 | 149 | 15.6 | 1 | GROUP |
| 44 | 159 | 14.6 | 2 | GROUP |
| 44 | 160 | 14.8 | 2 | ONLINE |
| 67 | 166 | 18.9 | 1 | GROUP |
| 51 | 178 | 16.5 | 1 | ONLINE |
| 41 | 178 | 13.4 | 2 | ONLINE |
| 40 | 176 | 12.6 | 1 | ONLINE |
| 45 | 138 | 15.3 | 2 | NONE |
| 41 | 159 | 18.8 | 2 | ONLINE |
| 40 | 145 | 14.7 | 2 | NONE |
| 47 | 151 | 16.6 | 2 | GROUP |
| 48 | 186 | 14.2 | 1 | ONLINE |
| 42 | 194 | 13.6 | 2 | ONLINE |
| 41 | 152 | 14.5 | 4 | GROUP |
| 29 | 145 | 19.0 | 2 | NONE |
| 48 | 188 | 11.3 | 2 | ONLINE |
| 33 | 139 | 19.3 | 3 | GROUP |
| 48 | 201 | 12.5 | 1 | ONLINE |
| 45 | 156 | 13.2 | 3 | GROUP |
| 36 | 131 | 18.5 | 2 | NONE |
| 43 | 161 | 17.3 | 3 | ONLINE |
| 42 | 152 | 14.6 | 1 | ONLINE |
| 49 | 178 | 16.4 | 2 | ONLINE |
| 50 | 157 | 15.9 | 3 | GROUP |
| 42 | 154 | 15.3 | 1 | GROUP |
| 44 | 156 | 20.0 | 0 | ONLINE |
| 45 | 170 | 14.2 | 1 | ONLINE |
| 48 | 170 | 17.4 | 5 | ONLINE |
| 39 | 144 | 17.7 | 3 | NONE |
In: Statistics and Probability
I just want to make the productions runs per month which is in bold to be related to ether total run labor cost per month or to standard cost per unit
| Manufactoring Cost | Valves | Pumps | Flow controllers | |||
| Material cost per unit | 16 | 20 | 22 | |||
| Units per month | 7500 | 12500 | 4000 | |||
| Material cost per month | 120000 | 250000 | 88000 | |||
| Labor cost | ||||||
| Production runs per month | 1 | 5 | 10 | |||
| Set- up labor hours/production run | 8 | 8 | 12 | |||
| Labor hrs per unit | 0.25 | 0.5 | 0.4 | |||
| Set- up labor hours/month | 8 | 40 | 120 | |||
| Run labor hours per month | 1875 | 6250 | 1600 | |||
| Labor cost per hour | 16 | |||||
| Set up cost per month | 128 | 640 | 1920 | |||
| Run labor cost per month | 30000 | 100000 | 25600 | |||
| Machine usage hours per unit | 0.5 | 0.5 | 0.2 | |||
| Machine usage hours per month | 3750 | 6250 | 800 | |||
| Machine usage cost per month | 93750 | 156250 | 20000 | |||
| Machine depreciation per hour of use | 25 | |||||
| Total | ||||||
| Receiving | 600 | 3800 | 15600 | 20,000 | ||
| Materials Handling | 6000 | 38000 | 156000 | 200,000 | ||
| Engineering | 20000 | 30000 | 50000 | 100,000 | ||
| Packing and shipping | 1800 | 13800 | 43800 | 60,000 | ||
| Maintainance | 10500 | 17400 | 2100 | 30,000 | ||
| Total overhead costs | 38900 | 103000 | 267500 | 410000 | ||
| Stander cost per unit | 37.68667 | 48.74 | 100.275 | |||
In: Accounting
3. The Indian cricket team is visiting New Zealand to play a test series comprising five matches. In each match, assume that the Indian team has a 70% chance of winning. Further, assuming that the matches are independent of each other, what is the probability that:
a. The Indian team will win the series?
b. The team will win all five matches, and that the team will lose all?
In: Statistics and Probability