According to a newspaper, 59% of high school seniors have a driver's license proportion who have a driver's license.
a. What value should we expect for our sample proportion?____%
b. What is the standard error?______
c. Use your answers to parts (a) and (b) to complete this sentence:
We expect _____% to have their driver's license, give or take_______%

d. Suppose we increased the sample size from 100 to 300. What effect would this have on the standard error? Recalculate the standard error to see if your prediction was correct.

We should expect a sample proportion of 59%. The other answers are given below.

A population percentage, abbreviated p, is the proportion of people in a population that share a specific attribute. The sample percentage, abbreviated p, is the proportion of people in a sample who share a specific attribute.

Thus,

a) We We should expect a sample proportion of 59%.

b) SE = √P x (1-p ) / n) = √ (0.59 x (1-0.59)/100 = 0.0491833305 or 0.049

c) we shold expect 50% ot have their drivers license or take 4.9%

d) Increasing the sample from 100 to 300 will reduce the standard error. This new standard error will be:

Standard Error =   √(0.59 x (1- 0.59) /300) = 0.028

Learn more about sample proportion:
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Find the range and standard deviation.

The table below gives the number of hours spent watching TV last week by a sample of 24 children.

9 5 6 7 2 4
8 6 6 4 5 1
4 8 3 2 10 7
8 9 2 9 7 7


Range =
(Please enter an exact answer.)

Standard Deviation =
(Please show your answer to 4 decimal places.)

Suppose you work in a police station or a law firm and signed a confidentiality agreement regarding all their cases at hand, suddenly your friend who was a suspect to a crime asked you for some documents that are in your office’s possession that may help him in his case. How would you deal with the situation?

(1) The automated technology boom has been exciting to watch, but there are growing concerns about its impact on employment. (2) In fact, reports about automation pointing to a possible employment crisis for younger generations are becoming rather common. (3) A 2018 article in the Los Angeles Times reported that 63 percent of tasks performed by workers in three California cities—Riverside, San Bernardino, and Ontario—could be automated in the future. (4) Rapid technological advances are already affecting workers, with the following jobs being replaced by robots at the fastest rates: etcher/engraver, crop farmworker, insurance claims examiner, travel agent, robotics engineer, and customs broker.

(5) How can we prepare for this brave new world we’ll soon inhabit? (6) The two approaches that stand to have the greatest impact are education reform and basic income (BI) programs. (7) In terms of education, we need to ensure that schools offer training in skills that reflect the evolving labor landscape. (8) Chaffey College, for instance, in Rancho Cucamonga, California, has started offering cutting-edge courses in construction and logistics, two of the fastest growing industries in the region. (9) Chaffey is thus a model of education reform, expanding and revising its course offerings in response to local labor demands.

(10) BI is the more controversial of the two proposed reforms. (11) But it’s already being tried on a small scale in Stockton, California, where selected residents are receiving $500 per month. (12) Some business and labor union leaders are dismissive of this new social safety net, suggesting that it discourages people from working, but tech industry leaders argue persuasively that BI can provide workers with needed resources and flexibility to take jobs in the freelance or “gig” economy. (13) Employment issues have already inspired BI pilot programs in Finland, Kenya, Canada, and the Netherlands, showing that there is emerging international support for this strategy. (14) Hopefully, as automation disrupts more industries, public acceptance of BI will increase in the United States as well.

(15) We can’t just sit around twiddling our thumbs as new tech keeps changing the game in a bunch of businesses.

Which of the following can best be described as the passage's thesis?
(Α) Sentences 1 and 2
(B) Sentence 4
(C) Sentences 5 and 6
(D) Sentences 10 and 11
(E) Sentence 13

The balance sheet of a company is not:
Select one or more:
a. A financial record showing balance between the company's net assets and net capital employed
b. A record of the company's net profit
4
C. The company's position with respect to its assets and liabilities as at the end of the company's financial year
d. The company's portfolio position

Choose a natural number between one and 100 inclusive what is the probability that the number chosen is not a multiple of four

The blue catfish (Ictalurus Furcatus) is the largest species of North American catfish. The current world record stands at 143 pounds, which was caught in the John H. Kerr Reservoir (Bugg's Island Lake) located in Virginia. According to American Expedition, the average weight of a blue catfish is between 20 to 40 pounds. Given that the largest blue catfish ever caught was at the John H. Kerr Reservoir, you believe that the mean weight of the fish in this reservoir is greater than 40 pounds. Use the data below, which represents the summary statistics for 53 blue catfish caught at this reservoir, and a 0.05 significance level to test the claim that the mean weight of the fish in the John H. Kerr Reservoir is greater than 40 pounds.
;

pounds;
pounds

a) Identify the null and alternative hypotheses?

:
?



:
?



b) What type of hypothesis test should you conduct (left-, right-, or two-tailed)?
left-tailed
right-tailed
two-tailed
c) Identify the appropriate significance level.


d) Calculate your test statistic. Write the result below, and be sure to round your final answer to two decimal places.


e) Calculate your p-value. Write the result below, and be sure to round your final answer to four decimal places.


f) Do you reject the null hypothesis?
We reject the null hypothesis, since the p-value is less than the significance level.
We reject the null hypothesis, since the p-value is not less than the significance level.
We fail to reject the null hypothesis, since the p-value is less than the significance level.
We fail to reject the null hypothesis, since the p-value is not less than the significance level.

g) Select the statement below that best represents the conclusion that can be made.
There is sufficient evidence to warrant rejection of the claim that the mean weight of the fish in the John H. Kerr Reservoir is greater than 40 pounds.
There is not sufficient evidence to warrant rejection of the claim that the mean weight of the fish in the John H. Kerr Reservoir is greater than 40 pounds.
The sample data support the claim that the mean weight of the fish in the John H. Kerr Reservoir is greater than 40 pounds.
There is not sufficient sample evidence to support the claim that the mean weight of the fish in the John H. Kerr Reservoir is greater than 40 pounds.

According to the Bureau of Labor Statistics, 71.9% of Young women enroll in college directly after high school graduation. Suppose a random sample of 200 female high school graduates is selected and the proportion who enroll in college is obtained.


a. What value should we expect for the sample proportion?

b. What is the standard error?

c. What effect would increasing the sample size to 500 have on the standard error?

Write function for this graph and explain ?

What is permissive mean

A research poll showed that 1298 out of 2015 randomly polled people in a country favor the death penalty for this convicted of murder. Assuming the conditions for the CLT were met, complete parts (a) and (b) below.
Sample 1
X
1298
N
2015
Sample p
0.644169
95% CI
(0.623265. 0.665073)
ledia 6
Question 58
a. Using the technology output given, write out the following sentence.
I am 95% confident that the population proportion favoring the death penalty is between ___and___
(Round to three decimal places as needed.)

A large collection of one-digit random numbers should have about 50% odd and 50% even digits because five of the ten digits are odd (1, 3, 5, 7, and 9) and five are even (0, 2, 4, 6, and 8).
a. Find the proportion of odd-numbered digits in the following lines from a random number table. Count carefully.
8 2 6 6 9
0 9 2 2 4
9 3 8 6 8
4 3 9 6 3
2 6.9 3 6
1 5 8 1 6

The given random number table consists of ___% odd-numbered digits (Round to two decimal places as needed.)

Does the proportion found in part (a) represent ^p (the sample proportion) or p (the population proportion)?

Find the error in this estimate, the difference between ^p and p (or ^p - p).