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Question 1 of 40 Quiz ID: q1
A population has mean μ = 50 and standard deviation σ = 10. If all possible samples of size n = 25 are drawn from this population, what is the standard error of the sampling distribution of the mean?
Question 2 of 40 Quiz ID: q2
A factory produces light bulbs with a mean lifespan of 1200 hours and standard deviation of 100 hours. If a random sample of 50 bulbs is selected, what is the probability that the sample mean exceeds 1220 hours?
Question 3 of 40 Quiz ID: q3
In a population where 40% favor a new policy, what is the probability that in a sample of 200 people, the proportion favoring the policy is between 0.35 and 0.45?
Question 4 of 40 Quiz ID: q4
A biased coin has P(heads) = 0.4. In 500 tosses, what is the probability that the number of heads is between 190 and 210?
Question 5 of 40 Quiz ID: q5
For a t-distribution with 15 degrees of freedom, what is the probability that t is less than -2.131?
Question 6 of 40 Quiz ID: q6
A sample of 25 measurements from a normal population yields x̄ = 48.2 and s = 3.1. What is the 95% confidence interval for the population mean?
Question 7 of 40 Quiz ID: q7
If the population standard deviation is unknown and sample size is 18, which distribution should be used for inference about the population mean?
Question 8 of 40 Quiz ID: q8
A population has proportion P = 0.3. What sample size is needed to ensure the standard error of the sample proportion is less than 0.02?
Question 9 of 40 Quiz ID: q9
The Central Limit Theorem states that the sampling distribution of the mean approaches normality as:
Question 10 of 40 Quiz ID: q10
A random sample of 16 values from a normal population has mean 42.5 and standard deviation 3.8. What is the probability that the population mean is less than 41?
Question 11 of 40 Quiz ID: q11
In a population where 60% are Democrats, what is the probability that in a sample of 150 people, more than 100 are Democrats?
Question 12 of 40 Quiz ID: q12
For a t-distribution with 10 degrees of freedom, what is the variance?
Question 13 of 40 Quiz ID: q13
A quality control inspector samples 36 items from a production line. The population standard deviation is known to be 0.8 mm. What is the probability that the sample mean differs from the population mean by more than 0.2 mm?
Question 14 of 40 Quiz ID: q14
When sampling without replacement from a finite population, the standard error is:
Question 15 of 40 Quiz ID: q15
A sample of 20 observations from a normal population has mean 65.4 and standard deviation 4.3. What is the 99% confidence interval for the population mean?
Question 16 of 40 Quiz ID: q16
The finite population correction factor is used when:
Question 17 of 40 Quiz ID: q17
A population has mean 85 and variance 64. If samples of size 36 are drawn, what is the probability that the sample mean is between 83 and 87?
Question 18 of 40 Quiz ID: q18
For a t-distribution with 25 degrees of freedom, P(t > 1.708) is approximately:
Question 19 of 40 Quiz ID: q19
A random sample of 100 students has mean IQ score of 108 with standard deviation 15. What is the probability that the population mean IQ is greater than 105?
Question 20 of 40 Quiz ID: q20
In a binomial experiment with n=400 and p=0.2, the sampling distribution of the proportion can be approximated by a normal distribution because:
Question 21 of 40 Quiz ID: q21
A sample of 12 observations from a normal population has mean 24.6 and variance 6.25. What is the standard error of the mean?
Question 22 of 40 Quiz ID: q22
The t-distribution has heavier tails than the normal distribution, which means:
Question 23 of 40 Quiz ID: q23
A population of 1000 items has mean 50 and standard deviation 5. If a sample of 100 items is drawn without replacement, what is the standard error of the mean?
Question 24 of 40 Quiz ID: q24
For a sample of size 40 from a normal population with unknown variance, the sampling distribution of the mean follows:
Question 25 of 40 Quiz ID: q25
A political poll shows 220 out of 500 voters support a candidate. What is the standard error of the sample proportion?
Question 26 of 40 Quiz ID: q26
As degrees of freedom increase, the t-distribution:
Question 27 of 40 Quiz ID: q27
A machine fills bottles with mean 500ml and standard deviation 2ml. If 25 bottles are sampled, what is the probability that the sample mean is less than 499ml?
Question 28 of 40 Quiz ID: q28
The Central Limit Theorem applies to:
Question 29 of 40 Quiz ID: q29
A sample of 18 measurements has mean 32.4 and standard deviation 2.8. What is the 90% confidence interval for the population mean?
Question 30 of 40 Quiz ID: q30
In hypothesis testing, when the population standard deviation is unknown and sample size is small, we use the t-distribution because:
Question 31 of 40 Quiz ID: q31
A population has proportion 0.35. What is the probability that in a sample of 200, the sample proportion is within 0.03 of the population proportion?
Question 32 of 40 Quiz ID: q32
For a t-distribution with 8 degrees of freedom, what is P(t < 2.306)?
Question 33 of 40 Quiz ID: q33
The standard error of the mean decreases when:
Question 34 of 40 Quiz ID: q34
A sample of 22 observations has mean 45.3 and standard deviation 4.1. What is the test statistic for testing H₀: μ = 43?
Question 35 of 40 Quiz ID: q35
The finite population correction factor is closest to 1 when:
Question 36 of 40 Quiz ID: q36
A manufacturer claims their batteries last 100 hours on average. A sample of 16 batteries has mean 97 hours and standard deviation 6 hours. What is the probability of obtaining such a sample if the claim is true?
Question 37 of 40 Quiz ID: q37
The sampling distribution of the proportion is approximately normal when:
Question 38 of 40 Quiz ID: q38
A population has mean 75 and standard deviation 8. What sample size is needed so that the standard error is 1?
Question 39 of 40 Quiz ID: q39
For a t-distribution with 20 degrees of freedom, what is the value of t such that P(-t < T < t) = 0.90?
Question 40 of 40 Quiz ID: q40
A sample of 30 observations from a non-normal population has mean 42 and standard deviation 5.2. The sampling distribution of the mean is:

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