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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?
2.0
1.0
0.4
0.2
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?
0.0793
0.4207
0.9207
0.1587
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?
0.8234
0.6476
0.9214
0.7580
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?
0.6826
0.5468
0.7854
0.6247
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?
0.025
0.05
0.95
0.975
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?
(46.91, 49.49)
(47.12, 49.28)
(46.74, 49.66)
(47.45, 48.95)
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?
Normal distribution
t-distribution with 17 df
t-distribution with 18 df
Chi-square distribution
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?
525
2100
1200
752
Question 9 of 40
Quiz ID: q9
The Central Limit Theorem states that the sampling distribution of the mean approaches normality as:
Population size increases
Sample size increases
Population variance decreases
Sample variance increases
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?
0.0582
0.9418
0.1151
0.8849
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?
0.0322
0.1587
0.2061
0.0934
Question 12 of 40
Quiz ID: q12
For a t-distribution with 10 degrees of freedom, what is the variance?
1.25
1.11
1.00
1.43
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?
0.1336
0.0668
0.3174
0.1587
Question 14 of 40
Quiz ID: q14
When sampling without replacement from a finite population, the standard error is:
Always larger than with replacement
Always smaller than with replacement
The same as with replacement
Unpredictable
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?
(62.78, 68.02)
(63.25, 67.55)
(62.95, 67.85)
(63.42, 67.38)
Question 16 of 40
Quiz ID: q16
The finite population correction factor is used when:
n/N > 0.05
N > 1000
n < 30
σ is unknown
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?
0.8664
0.9332
0.7888
0.9544
Question 18 of 40
Quiz ID: q18
For a t-distribution with 25 degrees of freedom, P(t > 1.708) is approximately:
0.05
0.10
0.025
0.01
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?
0.9772
0.8413
0.9332
0.6915
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:
np > 5 and n(1-p) > 5
n > 30
p > 0.5
The population is normal
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?
0.721
0.658
0.833
0.521
Question 22 of 40
Quiz ID: q22
The t-distribution has heavier tails than the normal distribution, which means:
It has more probability in the extremes
It has less probability in the extremes
It has the same tail probabilities
It is more peaked
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?
0.475
0.500
0.525
0.450
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:
t-distribution with 39 df
t-distribution with 40 df
Normal distribution
Chi-square distribution
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?
0.0224
0.0200
0.0245
0.0187
Question 26 of 40
Quiz ID: q26
As degrees of freedom increase, the t-distribution:
Approaches the normal distribution
Becomes more spread out
Becomes more skewed
Approaches the chi-square 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?
0.0062
0.9938
0.3085
0.6915
Question 28 of 40
Quiz ID: q28
The Central Limit Theorem applies to:
Only normal populations
Only large samples
Any population with finite variance
Only binomial populations
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?
(31.24, 33.56)
(31.45, 33.35)
(31.08, 33.72)
(31.62, 33.18)
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:
It accounts for extra uncertainty in estimating σ with s
It has heavier tails
It is more conservative
All of the above
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?
0.7248
0.8414
0.6826
0.9544
Question 32 of 40
Quiz ID: q32
For a t-distribution with 8 degrees of freedom, what is P(t < 2.306)?
0.975
0.95
0.99
0.90
Question 33 of 40
Quiz ID: q33
The standard error of the mean decreases when:
Sample size increases
Population variance increases
Both A and B
Neither A nor B
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?
2.58
2.87
2.35
2.14
Question 35 of 40
Quiz ID: q35
The finite population correction factor is closest to 1 when:
n is very small compared to N
n is close to N
N is very large
σ is small
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?
0.0455
0.0228
0.0672
0.1336
Question 37 of 40
Quiz ID: q37
The sampling distribution of the proportion is approximately normal when:
np ≥ 10 and n(1-p) ≥ 10
n ≥ 30
p ≥ 0.5
The population is normal
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?
64
16
32
8
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?
1.725
1.325
1.812
1.721
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:
Approximately normal by CLT
Exactly normal
t-distribution with 29 df
Cannot be determined
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