No, the ACT test forms are unique for each administration, and the April 2023 edition will not be used on the June 10, 2023 test date.
In the ACT testing process, each administration date is associated with a specific test form. The test forms are carefully designed to ensure fairness and prevent any advantage to individual test-takers. Therefore, the ACT test on June 10, 2023, will have its unique test form designed specifically for that date.Test forms are not reused from previous administrations, including the April 2023 edition. This practice ensures that all test-takers have an equal opportunity and that the test remains secure and unbiased.Additionally, ACT takes strict measures to prevent any unauthorized access to test content. The test materials are securely stored and administered under controlled conditions to maintain test integrity. Providing test-takers with specific editions or allowing access to previous test forms would compromise the fairness and validity of the exam.Therefore, you can expect to take the ACT on June 10, 2023, with a new and unique test form created specifically for that administration.For more such question on administration
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Please answer this question how did you get 5h+9f=72. The question is The total cost of the frisbees and hats is $72, and the cost of two hats and frisbee is $14.50.what is the cost of frisbee?
Answer:Hi There!
9f+5=77
Make sure all numbers are on the right side of the equation.
9f=77-5
9f=72
Now divide both sides by 9 to isolate f:
f=8
Hope this helps!
Explanation:
Answer:
The cost of a frisbee is 11 dollars.
To estimate the average monthly income of workers in ascertained factory a sample of 100 workers was taken with a mean of 400 birr and a standard deviation of 20. Find a 90 percent confidence interval for the population means and interpret the result
Answer:
To find a 90 percent confidence interval for the population mean of the workers' monthly income in the factory, you can use the formula:
Confidence interval = sample mean ± (critical value * standard error)
First, you need to find the critical value corresponding to a 90 percent confidence level. Since the sample size is large (n = 100), we can use the Z-distribution. For a 90 percent confidence level, the critical value is approximately 1.645.
Next, you calculate the standard error, which is the standard deviation of the sample divided by the square root of the sample size:
Standard error = standard deviation / √(sample size)
Standard error = 20 / √(100)
Standard error = 20 / 10
Standard error = 2
Now you can substitute the values into the confidence interval formula:
Confidence interval = 400 ± (1.645 * 2)
Calculating the confidence interval:
Lower bound = 400 - (1.645 * 2) = 400 - 3.29 = 396.71
Upper bound = 400 + (1.645 * 2) = 400 + 3.29 = 403.29
The 90 percent confidence interval for the population mean of the workers' monthly income is approximately 396.71 to 403.29 birr.
Explanation:
Interpretation: We are 90 percent confident that the true population mean of the workers' monthly income in the factory falls within the range of 396.71 to 403.29 birr. This means that if you were to take multiple samples and calculate confidence intervals for each sample, approximately 90 percent of those intervals would contain the true population mean.