Questions
Do engineers work more hours per week than the national average hours per week worked?   ...

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...

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:...

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,...

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...

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...

(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...

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...

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...

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...

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