Please in C++ language

Write a program that reads 10,000 words into an array of strings. The program will then read a second file that contains an undetermined number of words and search the first array for each word. The program will then report the number of words in the second list that were found on the first list.

Most decentralized subunits can be described as one of four different types of responsibility centres. List the four most common types of responsibility centres and describe their responsibilities. List the four most common types of responsibility centres and select the choice that describes the responsibilities of each of the centres.

Directions: For each question, you need to show each step of the hypothesis test, state your null and alternate hypothesis, identify if you are conducting a two-tailed or a one-tailed hypothesis test, identify the Zcrit and Zobt, graph the normal curve, label the critical value and the test statistic, shade the rejection region, tell whether we reject or retain the null and make a conclusion statement. You also need to calculate Cohen’s d, the probability of committing a type I error and type II error, and the strength of the effect size.

3. A common measure of assessing whether individuals are suitable for entrance into law school is by having applicants register and take the Law School admissions Test (LSAT). The national average score on the LSAT is 150 with a standard deviation of 6. A Law School Admissions coordinator at a local university created a prep course to assist local students in preparing for the exam. To test whether this new prep course had an effect on LSAT scores for students she drew a random sample of students who had taken the LSAT with a total sample size of 15 and a mean of 153. Use a directional one-sample z test to determine whether the new prep course has an effect on LSAT scores.

A: You recently took a statistics class in a large class with n = 500 students. The instructor tells the class that the scores were Normally distributed, with a mean of 7 2 (out of 100 ) and a standard deviation of 8 , but when you talk to other students in the class, you find out that more than 30 students have scores below 45 . That violates which rule for the Normal distribution?

the 30–60–90 rule

the 1–2–3 rule

the 68–95–99.7 rule

It does not violate any rule; anything can happen.

B: In a population of Siberian flying squirrels in western Finland, assume that the the number of pups born to each female over her lifetime has mean ?=3.66μand standard deviation ?=2.9598. The distribution of squirrel pups born is non‑normal because it takes only whole, non‑negative values.

Determine the mean number of pups, x¯, such that in 90%of all random samples of such squirrels of size ?=60,, the mean number of pups born to females in the sample is less than ?⎯⎯⎯.than x¯.

You may need to use software or a table of ?-critical values. You may find some software manuals useful.

Give your answer to at least two decimal places.

?=

Suppose the preliteracy scores of three-year-old students in the United States are normally distributed. Shelia, a preschool teacher, wants to estimate the mean score on preliteracy tests for the population of three-year-olds. She draws a simple random sample of 20 students from her class of three-year-olds and records their preliteracy scores (in points).

80,82,83,85,86,91,91,92,92,93,95,97,99,100,100,103,107,108,111,112

a) Calculate the sample mean, sample standard deviation, and standard error (SE) of the students' scores. Round your answers to four decimal places.
b) Determine the t-critical value (t) and margin of error (m) for a 95% confidence interval. Round your answers to three decimal places.
c) What are the lower and upper limits of a 95% confidence interval? Round your answers to three decimal places.
d) Which is the correct interpretation of the confidence interval:

Shelia is 95% confident that the true population mean is between 91.129 points and 99.571 points.

There is a 95% chance that the true population mean is between 91.129 points and 99.571 points.

Shelia is 95% confident that the true population mean is between 90.842 points and 99.858 points.

There is a 95% chance that the population mean is between 90.842 points and 99.858 points.

Shelia is certain that the true population mean is between 90.842 points and 99.858 points.

Use the following code to access data from the Getting To Know You Survey that was just conducted. The dataset can also be found online at the link: http://users.stat.umn.edu/~wuxxx725/data/ Getting2NoUS2020.csv. NoU<- read.csv("http://users.stat.umn.edu/~wuxxx725/data/Getting2NoUS2020.csv", header = TRUE) attach(NoU) 1. Are US students more likely to favor legalizing marijuana? The following two variables will be used. • international.student International student? Two categories ”U.S.” or ”International” • legalizing.marijuana Favor legalizing marijuana? Two categories ”Yes” or ”No”(although three categories are available, we only care about yes or no group)

(a) Run the command below to construct a contingency table. table(international.student,legalizing.marijuana)

(b) Let p1 and p2 denote the proportion favoring marijuana legalization among international students and US students, respectively. Use prop.test() command to construct a 95% confidence interval for comparing p1 and p2. Can you conclude which of p1 and p2 is larger? Explain.

(c) Test your conclusion in (b) at the .05 level using prop.test() command. You only need to show your code and output.

(d) Interpret the reported p-value.

I specifically need help on how to properly run the prop.test

Show all work please.

1. Certain standardized math exams have a mean of 100 and a standard deviation of 60. Of a sample of 36 students who take this exam, what percent could you expect to score between 70 and 110?

A) 84

B) 81.5

C) 83.85

D) 85

2. Certain standardized math exams had a mean of 120 and a standard deviation of 20. Of students who take this exam, what percent could you expect to score between 60 and 80?

A) 2.5

B) 2.35

C) 97.5

D) 13.5

3. A random sample of n measurements was selected from a population with unknown mean μ and known standard deviation σ. Using the 68-95-99.7 rule, calculate a 68% confidence interval for μ for the given situation. Round to the nearest hundredth when necessary.
n = 100, Xbar = 74, σ = 25

4.Certain standardized math exams have a mean of 100 and a standard deviation of 60. Of a sample of 36 students who take this exam, what percent could you expect to score above 90?

A)84

B)81.5

C)83.85

D)16

1. An instructor in a college biology course wants to test a new method for learning Punnett squares. He begins by pairing students with similar entrance exam scores (ACT scores). Then he randomly selects one student from each pair to receive a new curriculum on Punnett squares, while the other student receives the traditional curriculum. At the end of the semester, he administers a genetics quiz with multiple Punnett square problems and records the number of errors. There are 24 students in this experiment. The data are as follows:

Using a standard table of Wilcoxon signed-rank critical values, determine whether there is a statistically significant difference in the number of Punnett square errors between students exposed to the intervention versus those in the control group. Use a two-tailed test and an alpha = 0.05. Write your brief conclusion for an educated lay person.