Question

In: Statistics and Probability

1. A psychologist would like to estimate the average IQ of Canadians. (IQ scores are known...

1. A psychologist would like to estimate the average IQ of Canadians. (IQ scores are known to follow a normal distribution with standard deviation 15.) She takes a sample of 49 Canadians and measures a sample mean IQ of 107.34 and a sample standard deviation of 17.36.

(a) Use the information above to calculate a 92% confidence interval to estimate the average IQ of Canadians.

(b) Interpret the confidence interval obtained in part (a).

(c) Suppose the researcher also wishes to test the hypotheses
H0 :μ=103 vs. μ̸=103

at the 0.08 significance level. Is this possible to do with the confidence interval calculated in part (a)? If so, what is the correct conclusion? If not, why not?

(d) Suppose the researcher also wishes to test the hypotheses
H0 :μ=105 vs. μ>105

at the 0.08 significance level. Is this possible to do with the confidence interval calculated in part (a)? If so, what is the correct conclusion? If not, why not?

Solutions

Expert Solution

a) population std dev =15 which is known hence we perform one sample Z-test.

One-Sample Z

Descriptive Statistics

N Mean SE Mean 92% CI for μ
49 107.34 2.14 (103.589, 111.091)

μ: mean of Sample
Known standard deviation = 15

b) We are 92 % confident that the population mean of IQ scores for canadians will lie in between (103.589,111.091)

c)

H0 :μ=103 vs. μ̸=103

0.08 significance level.

Yes it is possible to do with the confidence interval calculated in part (a) if the given mean is in the CI then we fail to reject null hypothesis otherwise reject null hypothesis.

Since μ=103 does not present in 92% CI we reject null hypothesis and conclude that there is a significant evidence that population mean is different from 103.

d)

H0 :μ=105 vs. μ>105

Yes it is possible to do with the confidence interval calculated in part (a) if the given mean is in the CI then we fail to reject null hypothesis other =wise reject null hypothesis.

Since μ=105 is present in 92% CI we fail to reject null hypothesis and conclude that there is no significant evidence that population mean is greater than 105.


Related Solutions

A psychologist wants to estimate the mean of IQ scores. It is widely believed that IQ...
A psychologist wants to estimate the mean of IQ scores. It is widely believed that IQ scores follow a normal distribution. Her random sample of 20 IQ scores has a mean of 97 and a standard deviation of 17.6 . Find the 95% confidence interval for the population mean based on this sample. State the Best point estimate, Margin of Error and Include the written statement. please list all the work.
1. Suppose it is known that the IQ scores of a certain population of adults are...
1. Suppose it is known that the IQ scores of a certain population of adults are approxi- mately normally distributed with a standard deviation of 15. A simple random sample of 25 adults drawn from this population had a mean IQ score of 105. a) Would we be able to reject Ho if we were to test it at 1% significance level? Explain. b)Construct and interpret the 95% confidence interval for population average IQ from these data. c)Based on the...
A developmental psychologist would like to know whether there is a difference in the sociability scores...
A developmental psychologist would like to know whether there is a difference in the sociability scores of children according to the number of siblings they have. He chose three random samples of n = 5 children each according to three groups and measured their level of sociability using a standardized test. The scores are shown in the table below. Do the scores indicate significant differences among the three groups? No Sibling** x^2 SS1 One Sibling** x^2 SS2 Two Siblings** x^2...
IQ scores are known to be normally distributed. The mean IQ score is 100 and the...
IQ scores are known to be normally distributed. The mean IQ score is 100 and the standard deviation is 15. What percent of the population has an IQ between 85 and 105. Need to solve it through Excel
. It is known that scores on a certain IQ test follow a normal distribution with...
. It is known that scores on a certain IQ test follow a normal distribution with mean 100 and standard deviation 15. For the whole population of test-takers, what proportion of scores will be greater than 124.0? Also, the top 3% of test-takers will have scores greater than what value? Finally, consider a random group of 16 people who take the IQ test. For these 16 people, what is the probability that their average (mean) IQ score will be less...
Suppose it is known that the IQ scores of a certain population of adults are approxi-...
Suppose it is known that the IQ scores of a certain population of adults are approxi- mately normally distributed with a standard deviation of 15. A simple random sample of 25 adults drawn from this population had a mean IQ score of 105. a) Is there evidence at 5% significance level that the average IQ in this population is not equal to 100? Please also explain how you got the critical value. Thanks!!!
A psychologist hypothesizes that depression decreases with aging. It is known that the general population scores...
A psychologist hypothesizes that depression decreases with aging. It is known that the general population scores a 41 on a standardized depression test where a higher score indicates more depression. The psychologist obtains a sample of individuals that are all over 65 years old. What can the psychologist conclude with an α of 0.05? The data are below. id depression score 2 6 8 12 3 4 11 19 5 6 76.1 44.9 64.8 42.2 30.1 67.6 51.3 36.5 54.3...
The average IQ score on a certain campus is 110. If the variance of these scores...
The average IQ score on a certain campus is 110. If the variance of these scores is 15, what can be said about the percentage of students with an IQ above 140? Hint: Use Chebyshev’s inequality.
The operations manager of a large production plant would like to estimate the average amount of...
The operations manager of a large production plant would like to estimate the average amount of time workers take to assemble a new electronic component. After observing a number of workers assembling similar devices, she estimates that the standard deviation is 0.25 hour. How large a sample of workers should she select if she wishes to estimate the mean assembly time to within 3.2 minutes at the 98% confidence level?
The operations manager of a large production plant would like to estimate the average amount of...
The operations manager of a large production plant would like to estimate the average amount of time workers take to assemble a new electronic component. After observing a number of workers assembling similar devices, she guesses that the standard deviation is 10 minutes. How large a sample of workers should she take if she wishes to estimate the mean assembly time to within 20 seconds. Assume the confidence level to be 97%.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT