Below are two frequency distributions. Assume the sizes of the populations are the same. Which of the following statements is true? Number of Participants 200 150 100 50 0 0 N Population 1 6 O d) 8 10 Number of Participants 100 80 60 40 20 0 2 Population 2 4 O a) Both the mean and the standard deviation of the first population are greater than the second. 3 O b) The mean of the first population is greater than the second but the standard deviation of the second is greater than the first. O c) The mean of the second population is greater than the first but the standard deviation of the first is greater than the second. Both the mean and the standard deviation of the second population are greater than the first. 10

Below are two frequency distributions. Assume the sizes of the populations are the same. Which of the following statements is true? Number of Participants 200 150 100 50 0 0 N Population 1 6 O d) 8 10 Number of Participants 100 80 60 40 20 0 2 Population 2 4 O a) Both the mean and the standard deviation of the first population are greater than the second. 3 O b) The mean of the first population is greater than the second but the standard deviation of the second is greater than the first. O c) The mean of the second population is greater than the first but the standard deviation of the first is greater than the second. Both the mean and the standard deviation of the second population are greater than the first. 10

Algebra and Trigonometry (6th Edition)

6th Edition

ISBN:9780134463216

Author:Robert F. Blitzer

Publisher:Robert F. Blitzer

ChapterP: Prerequisites: Fundamental Concepts Of Algebra

Section: Chapter Questions

Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...

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Which of the following is true regarding the sampling distribution of the mean for a large sample size? O It has a normal distribution with the same mean and standard deviation as the population. O It has the same shape, mean, and standard deviation as the population. O It has the same shape and mean as the population, but has a smaller standard deviation. O It has a normal distribution with the same mean as the population but with a smaller standard deviation.
A) A sample of n=5 scores has a mean m=12. If one score with a value x=18 is added to the sample, what is the value for the new mean? B) Find the mean for the scores in the following frequency distribution table X F 9 1 8 1 7 3 6 4 5 1 4 0 The mean to two decimal places? C) A population of N=10 scores has a mean of mu =12, if one score with a value of X= 21 is removed from the popultion, then what is the value of the new population mean?
QUESTION 1 a) The table below gives the frequency distribution of marks obtained by a group of students in a class test. Marks 3 4 5 6 7 8 Frequency 5 x-1 x 9 4 1 i) Find the value of x if the mean for the distribution is 5. ii) What is the modal mark. iii) Find the mean absolute deviation. iv) Find the sample variance and the sample standard deviation b) By using the phrases “correct decision” or “wrong decision”, complete the decision table for hypothesis testing below. Where the decision is wrong, state the type of error committed. DECISION H0 is false H0 is true Reject H0 Fail to Reject H0 (c) In the test of a certain hypothesis the p-value corresponding to the test statistics is 0.0316. Can the null hypothesis be rejected at the; i) 01 level of significance? ii) 05 level of significance? 10 level of significance? Justify your answers.…
I need help with solving parts 2 l, 3 and 6
1. In a distribution of six scores, the deviations from the mean for five of the scores are +5, +3, +1, 0, and-3.What is the value of the deviation for the sixth score? 2. On the midterm exam in their anthropology course, Jan’s deviation score was +5, Kim’s was -12, andLeslie’s was 0.a) of these three, who did the best and who did the worst?b) the mean for the class was 80. What was the raw score for Jan, Kim, and Leslie?
Suppose it is known that the mean and standard deviation of the scores on a statistics final are 71.36 and 8.57, respectively. Calculate an interval that is symmetric around the mean such that it contains approximately 95% of scores. Assume that the scores have a normal distribution. Question 4 options: 1) (71.36, 8.57) 2) (54.22, 88.5) 3) (88.5, 54.22) 4) (62.79, 79.93) 5) (79.93, 62.79)
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29. The scores on a Sociology examination are normally distributed with a mean of 70 and a standard deviation of 10. If the instructor assigns A's to 15%, B's to 25%, C's to 40 %, D's to 15% , and F's to 5% of the class, find the cutoff points for these grades. .e dav ordd bnit ddr 02 ns PA
B Choosing a topic Sk.. For data that is not normally distributed we can't use z-scores. However, there is an equation that works on any distribution. It's called Chebyshev's formula. The formula 1 where p is the minimum percentage of scores that fall within k k2 is p = 1 - standard deviations on both sides of the mean. Use this formula to answer the following questions. a) If you have scores and you don't know if they are normally distributed, find the minimum percentage of scores that fall within 2.2 standard deviations on both sides of the mean? b) If you have scores that are normally distributed, find the percentage of scores that fall within 2.2 standard deviations on both sides of the mean? c) If you have scores and you don't know if they are normally distributed, how many standard deviations on both sides of the mean do we need to go to have 64 percent of the scores? Note: To answer part c you will need to solve the equation for k.
I need help with parts 2,3, and 6
Which of the following is the best statement of the Law of Large Numbers? If the parent population (from which the data are drawn) is normally distributed, then the sample mean, , will follow a normal distribution. For bell-shaped data, approximately 68% of the data will be within one standard deviation of the mean, about 95% of the data will be within two standard deviations of the mean, and approximately 99.7% of the data will be within three standard deviations of the mean. If the sample size is large, the sample mean will be close to the population mean µ If the sample size is large, the shape of the sampling distribution of the sample mean will be approximately normal.