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Aneli [31]
4 years ago
8

Miguel is taking a college entrance exam that is testing only knowledge of United States history. Which of the following tests i

s he most likely taking?
A.) SAT I
B.) SAT II
C.) Scholastic Reasoning Test
D.) Scholarly Aptitude Assessment
SAT
2 answers:
algol [13]4 years ago
4 0

Answer:

B.) SAT II

Explanation:

SAT II refers to a test that is focused on a specific subject like english, math, history or social sciences. This test measures the knowledge you have in a discipline and it is optional to take it and you can decide in which area. According to this, Miguel is most likely taking the SAT II.

I am Lyosha [343]4 years ago
3 0

B! SAT II! SAT II is now known as SAT: Subject Tests which test you on a certain topic rather than a broad one such as english and math, that you take for the SAT I (now known as just SAT)

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2 years ago
Use the sample data and confidence level given below to complete parts a through d.
4vir4ik [10]

Using the information given and the z-distribution, it is found that:

a) The point estimate of the population proportion is 0.5544.

b) The margin of error is: 0.0320.

c) The interval is: (0.5224, 0.5864).

d) The interpretation of the interval is: we are 95% sure that the true population proportion is between 0.5224 and 0.5864.

<h3>What is a confidence interval of proportions?</h3>

A confidence interval of proportions has the bounds given by the rule presented as follows:

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which the variables used to calculated these bounds are listed as follows:

  • \pi is the point estimate of the population proportion.
  • z is the critical value.
  • n is the sample size.

The confidence level is of 95%, hence the critical value z is the value of Z that has a p-value of \frac{1+0.95}{2} = 0.975, so the critical value is z = 1.96.

From the sample, the sample size and the point estimate are given as follows:

n = 929, \pi = \frac{515}{929} = 0.5544

The margin of error is given by:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

M = 1.96\sqrt{\frac{0.5544(0.4456)}{929}}

M = 0.0320.

The interval is the point estimate plus/minus the margin of error, hence:

  • Lower bound: 0.5544 - 0.0320 = 0.5224.
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