# Which of the following statements are correct? a. A normal distribution is any distribution that is not unusual. b. The graph of a normal distribution is bell-shaped. c. If a population has normal ditribution, the mean and the median are

37,594 results
1. ## stat

Which of the following statements is true about the t-distribution with k degrees of freedom? i. the t-distribution is symmetric ii. the t-distribution with k degrees of freedom has a smaller variance than the t-distribution with k+1 degrees of freedom

2. ## Math (Statistic)

Considered the sampling distribution of a sample mean obtained by random sampling from an infinite population. This population has a distribution that is highly skewed toward the larger values. a) How is the mean of the sampling distribution related to the

3. ## Math

Let x represent the number which shows up when a balanced die is rolled. Then x is a random variable with a uniform distribution. Let x-bar denote the mean of the numbers obtained when the die is rolled 32 times. For samples of size 32, which of the

4. ## statistics

Which of the following statements are correct? a. A normal distribution is any distribution that is not unusual. b. The graph of a normal distribution is bell-shaped. c. If a population has normal ditribution, the mean and the median are not equal. d. The

5. ## MATH

Which of the following normal distributions has the smallest spread? A. A normal distribution with mean 1 and standard deviation 3 B. A normal distribution with mean 0 and standard deviation 2 C. A normal distribution with mean 3 and standard deviation 2

6. ## Statistics

As the degrees of freedom for the t-distribution increase, the distribution approaches the value of zero for the mean. the t-distribution. the normal distribution. the F distribution.

7. ## Statistics 250

In a normal distribution, what z-score value separates the highest 90% of the scores from the rest of the distribution? a)z = -1.28 b)z = 1.28 c)z = -0.13 d)z = 0.13

8. ## Statistics

Statistics Does the frequency distribution appear to have a normal distribution using a strict interpretation of the relevant criteria? IQ Score------Frequency 50-69----------24 79-89----------228 90-109--------490 110-129--------232 130-149-------26 a.

9. ## statistics

Consider a normal distribution with mean 20 and standard deviation 3. What is the probability a value selected at random from this distribution is greater than 20?

10. ## statistics

A vertical line is drawn through a normal distribution at z = 0.50, and separates the distribution into two sections. What proportion of the distribution is in the larger section? a. 0.6915 b. 0.3085 c. 0.1915 d. 0.3830

11. ## math (stats)

Find the z scores that separate the middle 59% of the distribution from the area in the tails of the standard normal distribution.

12. ## Math check

A random sample of size 26 is to be selected from a population that has a mean ì = 46 and a standard deviation ó of 15. (a) This sample of 26 has a mean value of x, which belongs to a sampling distribution. Find the shape of this sampling distribution.

13. ## AP Statistics

As the degrees of freedom for the t-distribution increase, the distribution approaches the value of zero for the mean. the t-distribution. the normal distribution. the F distribution. I'm thinking C...

14. ## Maths

In a normal distribution, 4% of the distribution is less than 53 and 97% of the distribution is less than 65.i.Find the mean and standard deviation of the distribution. ii.Find the interquartile range of the distribution.

15. ## Probability

Let T1,T2,…,Tn be i.i.d. observations, each drawn from a common normal distribution with mean zero. With probability 1/2 this normal distribution has variance 1, and with probability 1/2 it has variance 4. Based on the observed values t1,t2,…,tn, we

The sampling distribution of x bar must be a normal distribution with a mean 0 and standard deviation 1. true or false

17. ## stats

(a) The test had six multiple-choice items that were scored as correct or incorrect, so the total score was an integer between 0 and 6. Do you think that these data are Normally distributed? Explain why or why not. The distribution is Normal because the

18. ## statistics

1. Which of the following statements are correct? a. A normal distribution is any distribution that is not unusual. (True/False) b. The graph of a normal distribution is bell-shaped. (True/False) c. If a population has a normal distribution, the mean and

19. ## stats

Suppose the mass of college students can be modeled by the normal distribution. We believe the mean of the normal distribution is 72 kg. We randomly sample 18 students and find an average of 69 kg and a standard deviation of 4kg. A. The standard error of

20. ## Statistics

Trying to finish an assignment: What happens to the power of the z test when the standard deviation increases? and Is the shape of a sampling distribution always the same as that of the null hypothesis population? Thanks! As the SD increases, the exactness

21. ## Probability

Let T1,T2,…,Tn be i.i.d. observations, each drawn from a common normal distribution with mean zero. With probability 1/2 this normal distribution has variance 1, and with probability 1/2 it has variance 4. Based on the observed values t1,t2,…,tn, we

A) Choose one of the following distributions (positively skewed normal distribution, negatively skewed normal distribution or bimodal normal distribution) and generate a sample of 20 numbers for it. The sample you generate should have a mean of 8 and a

23. ## Statistics

How do I answer: A normal distribution has a standard deviation equal to 39. What is the mean of this normal distribution if the probability of scoring above x = 209 is 0.0228

24. ## Statistics

You are interested in estimating the mean of a population. you plan to take a random sample from the population and use the samples mean as an estimate of population mean. Assuming that the population from which you select your sample is normal, which of

25. ## Stat

An SRS of size n is taken from a large population whose distribution of income is extremely right-skewed and the mean income is calculated. Which of the following statements is false? a) When n > 30, the sampling distribution of is approximately normal. b)

26. ## statistics

An SRS of size n is taken from a large population whose distribution of income is extremely right-skewed and the mean income is calculated. Which of the following statements is false? a) When n > 30, the sampling distribution of is approximately normal. b)

27. ## Statistics

Under what circumstances does the sampling distribution of the proportion approximately follow the normal distribution?

28. ## statistics

Find the Z-score that separate the middle 63% of the distribution from the area in the tails of the standard normal distribution

29. ## Statistics

For an IQ test, we know the population n=100 and the ox = 16. We are interested in creating the sampling distribution when N = 64. (a) What does that sampling distribution of means show? (b) What is the shape of the distribution of IQ means and the mean of

30. ## Statistics

Please help me with this question: For an IQ test, we know the population  5 100 and the X 5 16. We are interested in creating the sampling distribution when N 5 64. (a) What does that sampling distribution of means show? (b) What is the shape of the

31. ## Statistics

The probability distribution function for a normal distribution is f(x) = 1/(σ*sqrt(2*π))*e^[-(x-μ)^2/(2*σ^2)] How do I derive this?

32. ## basic statistics for the behavioral sciences

(a)on a normal distribution of exam scored, poindexter scored at the 10th percentile, so he claims that he outperformed 90% of his class. Why is he correct or incorrect? Because Foofy's score is in a tail of the distribution, she claims she had one of the

33. ## Statistics

The following is a histogram (right skewed) of the first ten terms of a geometric distribution with p = .4. The mean of this distribution is 2.5 and the standard deviation is approximately 1.93. What's the shape of the distribution of sample means for

34. ## statistics

Run the simulation using n = 30 and N = 10 for a uniform, a bell-shaped, and a skewed distribution. § Identify the mean of the sampling distribution of sample means for each distribution. § Evaluate if the results are what you expected for each

35. ## statistic

1. Which of the following statements are correct? a. A normal distribution is any distribution that is not unusual. b. The graph of a normal distribution is bell-shaped. c. If a population has a normal distribution, the mean and the median are not equal.

36. ## statistics

Which of the following statements are correct? a. a normal distribution is any distribution that is not unusual b. the graph of a normal distribution is bell-shaped c. if a population has a normal distribution, the mean and the median are not equal d. the

37. ## Statistics

Which of the following statements are correct? 1.A normal distribution is any distribution that is not unusual. 2.The graph of a normal distribution is bell-shaped. 3.If a population has a normal distribution, the mean and the median are not equal. 4.The

38. ## Statistics

1. Which of the following statements are correct? a. A normal distribution is any distribution that is not unusual. b. The graph of a normal distribution is bell-shaped. c. If a population has a normal distribution, the mean and the median are not equal.

39. ## statistics

which of the following statements are correct? a. a normal distribuiton is any distribution that is not unusual. b. the graph of a normal distribution is bell-shaped. c. if a population has a normal distribution, the mean and the median are not equal. d.

40. ## res342

In conducting research that looks at differences in populations, samples are used for numerous reasons. Using entire populations in a test is difficult, so various sampling techniques are applied. In situations in which the population variance is unknown,

41. ## stats

(a) The test had six multiple-choice items that were scored as correct or incorrect, so the total score was an integer between 0 and 6. Do you think that these data are Normally distributed? Explain why or why not. The distribution is Normal because the

42. ## statistics

A normal distribution has a mean of 20 and a standard deviation of 2. If you convert every score in the distribution to Z scores, which of the following statements would be true of the resulting distribution?

43. ## Statistics

A mathematically defined curve that is the comparison distribution used in ANOVA is called the: - Normal distribution - Chi Square distribution - F distribution - T distribution

44. ## Statistics

Find an example of application of Normal Distribution (or approximately Normal Distribution) in your workplace or business (or any other business that you are familiar with). Prove that the variable has the characteristics of a Normal Distribution. Recall

45. ## statistics

15. A financial consultant conducts seminars with each seminar limited to 20 attendees. Because of the small size of the seminar, and the personal attention each person receives, a large number of attendees are expected to become clients. From the past

46. ## Stats

When making a decision on whether a sample mean is significantly different than a population mean given that you sampled a small sample (n), what is the correct reasoning for choosing the t-distribution over the standard normal distribution

47. ## Statistics

What is the difference between the population distribution, the distribution of the same, and the sampling distribution and what are the formulas to get the normal distribution of each?

48. ## Statistics

Suppose that the probability distribution of a random variable x can be described by the formula P(x) = x/15 For each of the values x = 1, 2, 3, 4, and 5. For examples, then, p(x=2) = p(2) = 2/15 a Write out the probability distribution of x. b Show that

49. ## Statistics

Suppose that the probability distribution of a random variable x can be described by the formula P(x) = x/15 For each of the values x = 1, 2, 3, 4, and 5. For examples, then, p(x=2) = p(2) = 2/15 a Write out the probability distribution of x. b Show that

50. ## Statistics

If you have a curve with an asymmetric bimodal distribution, is it considered a normal distribution? Or is it only a normal distribution if there is a single bell-shaped curve?

51. ## Math

How do I find the remaining frequencies? I believe the entire frequency distribution is 2,6,12,12,6,2, for it is a normal distribution, but I am not sure if the middle values can be equivalent. Is this correct? Can someone please explain this to me? Assume

52. ## Statistics

How do I find the remaining frequencies? I believe the entire frequency distribution is 2,6,12,12,6,2, for it is a normal distribution, but I am not sure if the middle values can be equivalent. Is this correct? Can someone please explain this to me? Assume

53. ## statistics

For a normal distribution with a mean of 140 and a standard deviation of 55 find each value requested. a. What is the minimum score needed to be in the bottom 10% of the distribution? b. What scores form the boundaries for the middle 75% of the

54. ## math

Conditioned on the result of an unbiased coin flip, the random variables T1,T2,…,Tn are independent and identically distributed, each drawn from a common normal distribution with mean zero. If the result of the coin flip is Heads, this normal

55. ## statistics

A normal distribution has a standard deviation equal to 23. What is the mean of this normal distribution if the probability of scoring above x = 181? record to 1 decimal place

56. ## Statistics

What is the difference between normal distribution and approximate normally. Correct me if im wrong but I think the parameters of Normal is X~Normal (mu, standard deviation) but then approx. normal is X~Normal (mu, variation) im just really confused when

57. ## STAT- important

What is the difference between normal distribution and approximate normally. Correct me if im wrong but I think the parameters of Normal is X~Normal (mu, standard deviation) but then approx. normal is X~Normal (mu, variation) im just really confused when

58. ## statistics, math, college

if np >5 and nq>5 estimate P (fewer than 4) with n=13 p=0.4 by using normal distribution as an approximate to the binomial distribution if np

59. ## Stats

A random sample of dates taken from headstones at a cemetery in Pleasanton, California, showed an average lifespan of 70 years with a standard deviation of 20 years. Assuming the distribution is unimodal, which of the following is most likely a good

60. ## Statistics

A random sample of dates taken from headstones at a cemetery in Pleasanton, California, showed an average lifespan of 70 years with a standard deviation of 20 years. Assuming the distribution is unimodal, which of the following is most likely a good

61. ## statistics

6. Which distribution has the larger mean? i) t distribution, (df = 30) ii) standard normal distribution A) i) B) ii) C) They are the same.

62. ## statistics

Will the sampling distribution of means be approximately normal if n=25 or so, even if the frequency distribution of X values is not normal?

63. ## Statistics

Using formula P(x) = x/15 For each of the values x = 1, 2, 3, 4, and 5. a. probability distribution of x. b. Show that the probability distribution of x satisfies the properties of a discrete probability distribution. c. mean of x. sketch the two specified

64. ## stats

8-A bakery stated that the average number of breads sold daily is 3000. An employee thinks that the actual value might differ from this and wants to test this statement. The correct hypotheses are: (1) H0 : ¦Ì = 3000 H1 : ¦Ì not= 3000 (2) H0 : ¦Ì >

65. ## Statistics

What does it mean when we state: "Many frequency distributions in the social sciences are approximately? And, why does this occur? My thinking is: I would have to say that many frequency distributions, in particularly the social sciences are approximately

66. ## SS

Which division within Bolivia depends most directly on geography? A:distribution of resources B:distribution of population C:distribution of wealth D:distribution of tribal affiliation I think the answer is A. Thank you.

67. ## Phase Transformation

Concentration vs Distance plots resemble _____________ . Lognormal distribution Binomial distribution Lorentzian distribution Gaussian distribution

68. ## statistics

(population) A normal distribution has a mean of 80 and a std dev of 20. For each of the following scores, indicate wheter the tail of the distribution is located to the right or left of the score, and find the proportion of the distribution located in the

69. ## Statistics

1. Which of the following statements are correct? a. A normal distribution is any distribution that is not unusual. b. The graph of a normal distribution is bell-shaped. c. If a population has a normal distribution, the mean and the median are not equal.

70. ## college

1. Which of the following statements are correct? a. A normal distribution is any distribution that is not unusual. b. The graph of a normal distribution is bell-shaped. c. If a population has a normal distribution, the mean and the median are not equal.

71. ## statistics

Assume a binomial probability distribution has p = .60 and n = 200. a)What are the mean and standard deviation (to 2 decimals)? b)Why can the normal probability distribution be used to approximate this binomial distribution? c)What is the probability of

72. ## Statistics,math

My question is in statistics under what circumstances would the mode be an appropriate measure of central tendency? Whenever you expect a "normal" Gaussian distribution and have a large number of measurements. In that case the "mode" or most frequently

73. ## statistics

The respiratory rate per minute in newborns varies according to a distribution that is approximately Normal with mean 50 and standard deviation 5. The proportion of observations from a standard Normal distribution that take values less than 1.15 is about

74. ## stats

For a normal distribution where mx= 80 and sx= 10, the distribution model fits well to test scores of N = 20000 students.

75. ## Word Problem

As a sample size approaches infinity, how does the student’s t distribution compare to the normal z distribution?

76. ## algebra

A normal distribution has a mean of 44 and a standard deviation of 4. What is the probability that a value drawn from the distribution lies between 36 and 48? A) 0.18 B) 0.32 C) 0.82 D) 0.91

77. ## Math

A normal distribution has a mean of 20 and a standard deviation of 3.What is the probability that a randomly selected x-value from the distribution is: A)at least 14? B)at most 26? C)Between 8 and 23?

78. ## stats

A normal distribution has a mean of µ = 28 with σ = 5. What is the minimum raw score needed to be in the top 25% of the distribution?

79. ## Maths

X follows normal distribution(400,64).Find the inter-quartile range of the distribution.

80. ## math

A normal distribution has a mean of 44 and a standard deviation of 4. What is the probability that a value drawn from the distribution lies between 36 and 48? A) 0.18 B) 0.32 C) 0.82 D) 0.91

81. ## statistics

For a normal distribution with µ = 200 and ó = 50, what X values form the boundaries for the middle 60% of the distribution?

82. ## algebra

A normal distribution has a mean of 98 and a standard deviation of 6. What is the probability that a randomly selected x-value from the distribution is at least 80?

83. ## psyc

A normal distribution has µ = 80 and standard deviation = 10. What is the probability of randomly selecting a score greater than 75 from this distribution?

84. ## stat in psyc

A normal distribution has µ = 80 and standard deviation = 10. What is the probability of randomly selecting a score greater than 90 from this distribution

85. ## Psychology

For an IQ test, we know the population _ 5 100 and the _X 5 16. We are interested in creating the sampling distribution when N 5 64. (a) What does that sampling distribution of means show? (b) What is the shape of the distribution of IQ means and the mean

86. ## PSY

For an IQ test, we know the population _ 5 100 and the _X 5 16. We are interested in creating the sampling distribution when N 5 64. (a) What does that sampling distribution of means show? (b) What is the shape of the distribution of IQ means and the mean

87. ## stats

Given a normal distribution with µ = 80, σ= 5, and given a sample size of n = 25, describe the following characteristics of the sampling distribution: 1. Central tendency 2. Variability

88. ## Statistics

In a given normal distribution, the standard deviation is 14.4 and 8.27% of the distribution lies to the left of 60. What is the mean?

89. ## MATH

Given a binomial distribution with n = 21 and p = 0.76, would the normal distribution provide a reasonable approximation? Why or why not?

90. ## statistics

In a normal distribution with the mean being 500 and the standard deviation being 100, what raw score separates the top 40% of a distribution from the rest?

91. ## statistics

In a normal distribution with the mean being 500 and the standard deviation being 100, what raw score separates the top 40% of a distribution from the rest?

92. ## stats

the distribution of IQscores forms a normal distribution with a mean of 100 and a standard deviation of 15. what is the proportion of the population that has an IQscore greater than 130?

93. ## statistics

Consider a normal distribution with mean 30 and standard deviation 6. What is the probability a value selected at random from this distribution is greater than 30? (Round your answer to two decimal places.)

94. ## statistics

A normal distribution is any distribution that is not unusual. True or false?

95. ## statistics

A normal distribution is any distribution that is not unusual. (True/False)

96. ## Statistics

Does the frequency distribution appear to have a normal distribution using a strict interpretation of the relevant criteria? Weight (g)-----------Frequency 5.5000-5.5499-----1 5.5500-5.5999-----4 5.6000-5.6499-----7 5.6500-5.6999-----13

97. ## math300

Run the simulation using n = 30 and N = 10 for a uniform, a bell-shaped, and a skewed distribution. Identify the mean of the sampling distribution of sample means for each distribution. Evaluate if the results are what you expected for each distribution.

98. ## statistics

If np≥5 and nq≥​5, estimate P(more than 9) with n=13 and p=0.7 by using the normal distribution as an approximation to the binomial​ distribution; if np

99. ## statistics

A normal distribution has a mean of 100 and standard deviation of 20. What is the probability of randomly selecting a score less than 130 from this distribution? a, p=0.9032 b, p=0.9332 c, p=0.0968 d, p=0.0668

100. ## Statistics

Politicians are interested in knowing the opinions of their constituents on important issues. One administrative assistant to a senator claims that more than 63% of adult women favor stricter gun laws. A recent telephone survey of 1026 adults by IBR Polls