How are the two distributions different?
Homework Answers
Standard deviation is measure which tells how much percentage of group deviates from mean value.You can see both the curves have same mean value(0). But have diffrent standard deviation.
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How are the two distributions different?
How are the two distributions different? -3 -2 -1 2...
For each part create two different data distributions ( data sets ) having the specified properties...
For each part create two different data distributions ( data sets ) having the specified properties by choosing nine values from the set {1, 2, 3, 4, 5} and construct a histogram of each of your two distributions. a- The two distributions have equal means but different standard deviations. b- The two distributions have different means but equal standard deviations. c- The two distributions have equal means and equal standard deviations (but the means need not equal the standard deviations)
Means and SDs For each part, compare distributions (1) and (2) based on their means and...
Means and SDs For each part, compare distributions (1) and (2) based on their means and standard deviations. You do not need to calculate these statistics; simply state how the means and the standard deviations compare. You will need to look at Exercise 1.47 in OpenIntro Statistics to answer these questions There are two correct answers to each part below; select them both. 1.47 Means and SDs. For each part, compare distributions (1) and (2) based on their means and...
Question 1: Consider two discrete probability distributions with the same sample space and the same expected...
Question 1: Consider two discrete probability distributions with the same sample space and the same expected value. Are the standard deviations of the two distributions necessarily equal? Explain. (Which of the below is correct) A) Yes, because both distributions have the same sample space, they will have the same standard deviation as well. B) Yes, because both distributions have the same expected value, they will have the same standard deviation as well. C) No, the standard deviations of two different...
Two methods were used to measure florescence lifetime of a dye. Method 1 Method 2 Mean...
Two methods were used to measure florescence lifetime of a dye. Method 1 Method 2 Mean lifetime 2.382 2.346 Standard deviation 0.035 0.049 Number of measurements 5 5 a) Are the standard deviations significantly different at 95% confidence level? b) Are the mean values significantly different at 95% confidence level?
Options are 1. 4/3/8 2. 0.384 /0.05/ 0.726 3. the distributions are different/ the distributions are...
Options are
1. 4/3/8
2. 0.384 /0.05/ 0.726
3. the distributions are different/ the distributions are
identical/ Reject Ho
Question 25 9 pts A car dealer was interested in comparing two brands of tires to see if they yielded different wear length (in thousands of miles). The dealer selected eight cars at random and used each of the brands of tires on each car. The wear length was recorded as follows: CAR BRANDA BRANDB 1 45 47 2 43 40...
Review how to compare two distributions. Solve for the 95 CI of each of the following...
Review how to compare two distributions. Solve for the 95 CI of each of the following and indicate whether the two distributions are significantly different with F-test and t-test. Assume the values are: Group 1: 22, 24, 23, 27, 28 Group 2: 23, 25, 26, 25, 28
A blood sample was sent to two different Labs for cholesterol analysis and results are tabulated...
A blood sample was sent to two different Labs for cholesterol analysis and results are tabulated below: Lab Lab-1 (mg/100 mL) Lab-2 (mg/100 mL) Mean ± 243 258 Standard deviation s 15 13 # of measurments n 5 6 (i)Are the standard deviations s1 & s2 significantly different at 95% confidence level? (ii)Are the means s1 & s2 significantly different at 90% confidence level? (*Must use F-test and T-test to conclude above)
1.47 Means and SDs. For each part, compare distributions (1) and (2) based on their means and sta...
1.47 Means and SDs. For each part, compare distributions (1) and (2) based on their means and standard deviations. You do not need to calculate these statistics; simply state how the means and the standard deviations compare. Make sure to explain your reasoning. Hint: It may be useful to sketch dot plots of the distributions. (a) (1) 3, 5, 5, 5, 8, 11, 11, 11, 13 (2) 3, 5, 5, 5, 8, 11, ії, 11, 20 (c) (1) 0, 2,...
Question 14 2 pts Researchers conducted an independent samples t-test and then reported a Cohen's d...
Question 14 2 pts Researchers conducted an independent samples t-test and then reported a Cohen's d value for the test of 0.2. What is true of the two sample means? The distributions of the two sample means have a very small overlap. The two sample means are 0.2 standard deviations apart. The two samples means are not significantly different. The two samples do not likely come from the same distribution.
data valu es in a 7. The 68-95-99.7 rule for normal distributions states that 95% of the mally distributed data set will be within 2 standard deviations of the mear Generate numbers with a distri...
data valu es in a 7. The 68-95-99.7 rule for normal distributions states that 95% of the mally distributed data set will be within 2 standard deviations of the mear Generate numbers with a distribution that has fewer than 95% of the data values within 2 standard deviations of the mean. Can you generate a set that has many fewer than 95% of the data values within 2 standard deviations of the mean? How small can you make that percentage?...
Means and SDs For each part, compare distributions (1) and (2) based on their means and standard deviations. You do not need to calculate these statistics; simply state how the means and the standard deviations compare. You will need to look at Exercise 1.47 in OpenIntro Statistics to answer these questions There are two correct answers to each part below; select them both. 1.47 Means and SDs. For each part, compare distributions (1) and (2) based on their means and...
Options are
1. 4/3/8
2. 0.384 /0.05/ 0.726
3. the distributions are different/ the distributions are
identical/ Reject Ho
Question 25 9 pts A car dealer was interested in comparing two brands of tires to see if they yielded different wear length (in thousands of miles). The dealer selected eight cars at random and used each of the brands of tires on each car. The wear length was recorded as follows: CAR BRANDA BRANDB 1 45 47 2 43 40...
1.47 Means and SDs. For each part, compare distributions (1) and (2) based on their means and standard deviations. You do not need to calculate these statistics; simply state how the means and the standard deviations compare. Make sure to explain your reasoning. Hint: It may be useful to sketch dot plots of the distributions. (a) (1) 3, 5, 5, 5, 8, 11, 11, 11, 13 (2) 3, 5, 5, 5, 8, 11, ії, 11, 20 (c) (1) 0, 2,...
Question 14 2 pts Researchers conducted an independent samples t-test and then reported a Cohen's d value for the test of 0.2. What is true of the two sample means? The distributions of the two sample means have a very small overlap. The two sample means are 0.2 standard deviations apart. The two samples means are not significantly different. The two samples do not likely come from the same distribution.
data valu es in a 7. The 68-95-99.7 rule for normal distributions states that 95% of the mally distributed data set will be within 2 standard deviations of the mear Generate numbers with a distribution that has fewer than 95% of the data values within 2 standard deviations of the mean. Can you generate a set that has many fewer than 95% of the data values within 2 standard deviations of the mean? How small can you make that percentage?...
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