On a recent trip to the SC DMV, I asked an employee to estimate what percentage of SC drivers arrive to renew their driver’s license with one that is currently expired. She responded that about 30 percent of all such renewals were of this type.

(a) Suppose you observe Y , the number of SC DMV customers seeking renewal to find the first one with an expired license. What is the distribution of Y? Plot the pmf and cdf of Y side by side (like in the notes). (Hint: You can just generate the Y from 1 to 20)

(b) Let W denote the number of SC DMV customers seeking renewal to find the 3rd one with an expired license. What is the distribution of W? Plot the pmf and cdf of W side by side (like in the notes).

(c) Obviously, in parts (a) and (b), you are assuming that Bernoulli trial assumptions hold. State what these are in this application (e.g., think of each customer seeking renewal as a “trial.”)

(d) In parts (a) and (b), find the probability that • among the first 6 customers seeking renewal, none have expired licenses. (Hint: use pgeom(y-1, p)) • you have to observe 10 or more customers seeking renewal to find the 3rd one with an expired license. (Hint: use pnbinom(w-r, r, p))

please include the R code

thanks

The Occupational Safety and Health Administration has set the limit on the maximum percentage of carbon dioxide (CO2) in air a worker can breathe at 0.500% by mole. If dry ice (solid CO2) is sublimating in a room at a rate of 0.610 mol/min, what is the minimum rate that fresh air (mol air/min) has to be supplied to the room so that the concentration of CO2 in the room doesn’t exceed 0.500% by mole? Assume the room is well mixed, and the volume of the solid dry ice does not change.

What is the percent by mass of oxygen in a gaseous mixture whose molar composition is 0.500% CO2 and 99.500% air? The composition of air is 21% mole O2, 70% mole N2 and has an average molar mass of 29.0 g/mol.

Is the percentage average room rate increase from May to August affected by the number of stars of a hotel? In order to answer this question you are asked to use one way analysis of variance. 1.1 Compute the percentage Average Room Rate Increase from May to August for each hotel in the sample, rounding up to the second decimal. Call this variable PCT_ARR_INCREASE. 1.2 State the null and alternative hypotheses.

We have 3 columns ARR_MAY(AVERAGE ROOM RATE MAY) ,ARR_AUG(AVERAGE ROOM RATE AUG) AND STARS

STARS   ARR_MAY   ARR_AUG
5   95   160
5   94   173
5   81   174
5   131   225
5   90   195
5   71   136
5   85   114
4   70   159
4   64   109
4   68   148
4   64   132
4   59   128
4   25   63
3   76   130
3   40   60
3   60   70
3   51   65
3   65   90
2   45   55
1   35   90
4   22   51
4   70   100
3   60   120
3   40   60
3   48   55
2   52   60
2   53   104
2   80   110
2   40   50
1   59   128
4   90   105
3   94   104
2   29   53
2   26   44
1   42   54
1   30   35
2   47   50
1   31   49
1   35   45
1   40   55
1   40   55
1   35   40
3   40   55
4   57   97
2   35   40
5   113   235
5   61   132
5   112   240
5   100   130
4   87   152
4   112   211
4   95   160
4   47   102
4   77   178
4   48   91
3   60   104
3   25   33
5   68   140
4   55   75
3   38   75
3   45   70
3   45   90
5   100   180
4   180   250
3   38   84
3   99   218
3   45   95
2   28   40
2   30   55
1   16   35
3   40   70
2   60   100
1   16   20
2   22   41
2   55   100
1   40   100
1   80   120
1   80   120
1   18   35
3   80   100
2   30   45
1   40   65
1   30   50
1   25   70
1   30   35
4   215   265
4   133   218
2   35   95
2   100   150
2   70   100
5   60   90
5   119   211
5   93   162
5   81   138
5   44   128
5   100   187
5   98   183
5   100   150
5   102   211
5   103   160
4   40   56
4   69   123
4   112   213
4   80   124
3   53   91
4   73   134
4   94   120
4   70   100
3   40   75
3   50   90
3   70   120
3   80   95
3   85   120
3   50   80
3   30   68
3   30   100
2   32   55
2   50   90
2   70   120
2   30   73
2   94   120
4   100   180
2   70   120
2   19   45
2   35   70
2   50   80
1   25   45
1   30   50
2   55   80
3   95   120
1   25   31
1   16   40
1   16   40
1   19   23
1   30   40

PLEASE ANSWER QUESTION 1.1 AND 1.2 THANKS IN ADVANCE

Looking at the TP53 primary structure, what percentage of this sequence is hydrophobic at pH 7? Note: hydrophobic is not synonymous with non-polar; spectroscopic studies suggest at least 3 disulfide bonds

What is considered a "good" amount of economic growth, as measured by an annual percentage increase in GDP?

Are there any concerns with "too much growth" or growth that is "too rapid"?

What was the highest annual GDP growth in the last 10 years?

What was the GDP growth rate last year?

Leave us a link as to who you are citing for the numbers or answers you leave.

Suppose the manager of a shoe store wants to determine the current percentage of customers who are males. How many customers should the manager survey in order to be 99% confident that the estimated (sample) proportion is within 10 percentage points of the true population proportion of customers who are males?

z0.10 z0.05 z0.04 z0.025 z0.01 z0.005 1.282 1.645 1.751 1.960 2.326 2.576

Before the rush began for Christmas shopping, a department store had noted that the percentage of its
customers who use the store's credit card, the percentage of those who use a major credit card, and the
percentage of those who pay cash are the same. During the Christmas rush in a sample of 150 shoppers,46 used the store's credit card; 43 used a major credit card; and 61 paid cash.

With ? = 0.05, conduct a
complete and appropriate hypothesis test to see if the methods of payment have changed during the
Christmas rush.

Use the 5-step procedure discussed in class and the critical value approach. If and
only if it is appropriate to do so, offer an informal comment as to where the single largest change is.

A brief overview of Prestressed concrete investment in North America and percentage of application

no more than 500words

A brief overview of Prestressed concrete investment in Korea and percentage of application

no more than 500words