A concessions manager at the Tech versus A&M football game must decide whether to have the vendors sell sun visors or umbrellas. There is a 35% chance of rain, a 25% chance of overcast skies, and a 40% chance of sunshine, according to the weather forecast in college junction, where the game is to be held. The manager estimates that the following profits will result from each decision, given each set of weather conditions:

Decision Weather Conditions Rain 0.35 Overcast 0.25 Sunshine 0.40

Sun visors Rain $-400 Overcast $-200 Sunshine $1,500

Umbrellas Rain 2,100 Overcast 0 Sunshine -800

a. Compute the expected value for each decision and select the best one.

b. Develop the opportunity loss table and compute the expected opportunity loss for each decision.

A manufacturing company produces electric insulators. You define the variable of interest as the strength of the insulators. If the insulators break when in​ use, a short circuit is likely. To test the strength of the​ insulators, you carry out destructive testing to determine how much force is required to break the insulators. You measure force by observing how many pounds are applied to the insulator before it breaks. The data shown below represent the amount of force required to break a sample of 30 insulators. Complete parts a through c below. 9 10 7 7 15 19 22 24 15 35 15 30 25 22 30 31 28 29 39 62 10 6 42 40 15 22 23 24 25 25 Construct a 99​% confidence interval for the population mean force.

Time spent using​ e-mail per session is normally​ distributed, with mu equals μ=12 minutes and sigma equals σ=3 minutes. Assume that the time spent per session is normally distributed. Complete parts​ (a) through​ (d). b) If you select a random sample of 50 ​sessions, what is the probability that the sample mean is between 11.5 and 12 ​minutes?

What’s the probability of getting no heads after flipping a fair coin 10 times? What’s the probability of getting no 3’s after rolling a fair 6-sided die 9 times? What’s the probability of getting a 4 at least once after rolling a fair 4-sided die 5 times? What’s the probability of getting a 5 exactly once after rolling a fair 8-sided die 7 times?

Use the given degree of confidence and sample data to find a confidence interval for the population standard deviation σ. Assume that the population has a normal distribution. Weights of men: 90% confidence; n = 14, = 155.7 lb, s = 13.6 lb

A. 11.0 lb < σ < 2.7 lb

B. 10.1 lb < σ < 19.1 lb

C. 10.4 lb < σ < 20.2 lb

D. 10.7 lb < σ < 17.6 lb

Describe a scenario where a researcher could use a Goodness of Fit Test to answer a research question. Fully describe the scenario and the variables involved and explain the rationale for your answer. Why is that test appropriate to use? (3 points)

Describe a scenario where a researcher could use a Test for Independence to answer a research question. Fully describe the scenario and the variables involved and explain the rationale for your answer. Why is that test appropriate to use? (3 points)

The Goodness of Fit Test and Test for Independence both use the same formula to calculate chi-square. Why? I.e., explain the logic of the test. (3 points)

Compare the Goodness of Fit Test and the Test for Independence in terms of the number of variables and levels of those that can be compared. In what ways are they similar or different? (3 points)

Describe how the Test for Independence and correlation are similar yet different. (3 points)

It is thought that basketball teams that make too many fouls in a game tend to lose the game even if they otherwise play well. Let x be the number of fouls more than (i.e., over and above) the opposing team. Let y be the percentage of times the team with the larger number of fouls wins the game.

Complete parts (a) through (e), given Σx = 16, Σy = 152, Σx² = 78, Σy² = 6130, Σxy = 540, and

r ≈ −0.966.

(a) Draw a scatter diagram displaying the data.

(b) Verify the given sums Σx, Σy, Σx², Σy², Σxy, and the value of the sample correlation coefficient r. (Round your value for r to three decimal places.)

(c) Find x, and y. Then find the equation of the least-squares line = a + bx. (Round your answers for x and y to two decimal places. Round your answers for a and b to three decimal places.)

(d) Graph the least-squares line. Be sure to plot the point (x, y) as a point on the line.

(e) Find the value of the coefficient of determination r². What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained? (Round your answer for r² to three decimal places. Round your answers for the percentages to one decimal place.)

(f) If a team had x = 3 fouls over and above the opposing team, what does the least-squares equation forecast for y? (Round your answer to two decimal places.)
%

Assuming the population is normally distributed, construct a 95% confidence interval for the population mean, based on the following sample of size n = 7:

1 2 3 4 5 6 7

The mean is 4 and Standard Deviation 2.16

1. What is the lower boundary of the interval to two decimal places?

2. What is upper boundary of the interval to two decimal.

Analysis of this paragraph along with the overall analysis of poem "Her Kind" by Anne Sexton.

This paragraph belongs to the same poem as mentioned above.

I have found the warm caves in the woods,

filled them with skillets, carvings, shelves,

closets, silks, innumerable goods;

fixed the suppers for the worms and the elves:

whining, rearranging the disaligned.

A woman like that is misunderstood.

I have been her kind.

I just need the analysis of both the paragraph and the poem itself,  not a summary.

he mean gas mileage for a hybrid car is

5656

miles per gallon. Suppose that the gasoline mileage is approximately normally distributed with a standard deviation of

3.23.2

miles per gallon.​ (a) What proportion of hybrids gets over

6161

miles per​ gallon? (b) What proportion of hybrids gets

5151

miles per gallon or​ less?

left parenthesis c right parenthesis What(c) What

proportion of hybrids gets between

5959

and

6161

miles per​ gallon? (d) What is the probability that a randomly selected hybrid gets less than

4646

miles per​ gallon?

LOADING...

Click the icon to view a table of areas under the normal curve.

​(a) The proportion of hybrids that gets over

6161

miles per gallon is

nothing.

​(Round to four decimal places as​ needed.)

​(b) The proportion of hybrids that gets

5151

miles per gallon or less is

nothing.

​(Round to four decimal places as​ needed.)

​(c) The proportion of hybrids that gets between

5959

and

6161

miles per gallon is

nothing.

​(Round to four decimal places as​ needed.)

​(d) The probability that a randomly selected hybrid gets less than

4646

miles per gallon is

nothing

The number of chocolate chips in a bag of chocolate chip cookies is approximately normally distributed with a mean of

12611261

chips and a standard deviation of

118118

chips. ​(a) Determine the

2525th

percentile for the number of chocolate chips in a bag. ​(b) Determine the number of chocolate chips in a bag that make up the middle

9595​%

of bags.

​(c) What is the interquartile range of the number of chocolate chips in a bag of chocolate chip​ cookies?

​(a) The

2525th

percentile for the number of chocolate chips in a bag of chocolate chip cookies is

11821182

chocolate chips.

​(Round to the nearest whole number as​ needed.)

​(b) The number of chocolate chips in a bag that make up the middle

9595​%

of bags is

14831483

to

15621562

chocolate chips.

​(Round to the nearest whole number as needed. Use ascending​ order.)

Answer for all parts please.

Year/Number of Years Since 1971/Number of stores

• Identify the initial value and the growth rate of your exponential model and explain what they mean in the context of Starbucks Stores. Put your explanations in a text box.

• Use your exponential model to predict the number of Starbucks locations in the following years:

1980, 1990, 2000, 2010, 2020, 2030, 2040, 2050

obs     gpa     iq      gender  concept
1       7.94    121     2       69
2       8.292   120     2       71
3       4.643   111     2       44
4       7.47    106     2       44
5       8.882   108     1       69
6       7.585   98      2       72
7       7.65    121     2       53
8       2.412   75      2       26
9       6       109     1       47
10      8.833   122     2       64
11      7.47    109     1       46
12      5.528   106     1       62
13      7.167   105     2       53
14      7.571   89      1       68
15      4.7     85      1       62
16      8.167   117     1       50
17      7.822   119     1       46
18      7.598   98      1       64
19      4       100     2       35
20      6.231   104     1       49
21      7.643   129     2       50
22      1.76    98      2       43
24      6.419   109     1       44
26      9.648   128     2       53
27      10.7    126     1       72
28      10.58   123     2       51
29      9.429   120     2       65
30      8       96      2       57
31      9.585   126     2       67
32      9.571   134     1       68
33      8.998   124     1       51
34      8.333   122     1       53
35      8.175   104     2       60
36      8       118     2       46
37      9.333   112     1       62
38      9.5     125     2       67
39      9.167   114     2       61
40      10.14   111     1       65
41      9.999   133     1       55
43      10.76   106     2       95
44      9.763   109     2       72
45      9.41    121     2       65
46      9.167   119     2       84
47      9.348   109     2       43
48      8.167   88      2       55
50      3.647   82      2       41
51      3.408   89      1       56
52      3.936   111     2       30
53      7.167   104     2       71
54      7.647   114     2       59
55      .53     81      2       16
56      6.173   74      2       42
57      7.295   101     2       72
58      7.295   123     1       65
59      8.938   124     1       55
60      7.882   96      1       32
61      8.353   118     2       68
62      5.062   102     2       45
63      8.175   121     2       65
64      8.235   115     2       56
65      7.588   113     2       71
68      7.647   112     2       47
69      5.237   79      1       28
71      7.825   96      2       48
72      7.333   95      1       64
74      9.167   100     2       90
76      7.996   106     2       56
77      8.714   101     1       65
78      7.833   102     1       63
79      4.885   88      2       52
80      7.998   118     1       74
83      3.82    89      2       56
84      5.936   88      1       73
85      9       93      1       65
86      9.5     122     1       88
87      6.057   102     2       52
88      6.057   101     1       61
89      6.938   117     2       39

The data from data216.dat contains information on 78 seventh-grade students. We want to know how well each of IQ score and self-concept score predicts GPA using least-squares regression. We also want to know which of these explanatory variables predicts GPA better. Give numerical measures that answer these questions. (Round your answers to three decimal places.)

(Regressor: IQ) R 2 =

(Regressor: Self-Concept) R 2 =

Which variable is the better predictor?

-IQ

-Self Concept