Question

In: Statistics and Probability

Suppose that you are testing the hypotheses H0​: u=74 vs. HA​: u does not equal 74....

Suppose that you are testing the hypotheses H0​: u=74 vs. HA​: u does not equal 74. A sample of size 51 results in a sample mean of 69 and a sample standard deviation of 1.8. ​

a) What is the standard error of the​ mean? ​

b) What is the critical value of​ t* for a 90​% confidence​ interval?

​c) Construct a 90​% confidence interval for mu. ​

d) Based on the confidence​ interval, at a=0.100 can you reject H0​? Explain.

Solutions

Expert Solution

null and alternative hypothesis is

Ho:   = 74

Ha:   74

n= 51,   = 69  , s= 1.8

c= 90%

a)

formula for standard error of the​ mean

= 0.25205

Standard error of the​ mean = 0.25205

b)

find the t critical value for c=90% with df=n-1 = 51-1 = 50

using t table we get critical value as

Critical value = 1.676

c)

formula for confidence interval is

68.578 <    < 69.422

thus we get confidence interval as

( 68.578 , 69.422 )

d)

claim is 74

from above confidence interval we find that we find that 74 do not lies within our calculated confidence interval 68.578 to 69.422.

Hence, mean is different from 74.

Yes, we can reject the claim that mean is not equal to 74


Related Solutions

Suppose that you are testing the hypotheses H0​: μ =11 vs. HA​: μ <11 A sample...
Suppose that you are testing the hypotheses H0​: μ =11 vs. HA​: μ <11 A sample of size 64 results in a sample mean of 11.5 and a sample standard deviation of 2.4 ​a) What is the standard error of the​ mean? ​b) What is the critical value of​ t* for a 99 % confidence​interval? ​c) Construct a 99​%confidence interval for μ. ​d) Based on the confidence​ interval, at a =0.005 can you reject H0​? Explain. 2)Before lending someone​ money,...
Consider the following hypotheses: H0: μ ≥ 208 HA: μ < 208 A sample of 74...
Consider the following hypotheses: H0: μ ≥ 208 HA: μ < 208 A sample of 74 observations results in a sample mean of 202. The population standard deviation is known to be 26. (You may find it useful to reference the appropriate table: z table or t table) a-1. Calculate the value of the test statistic. (Negative value should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal...
(a) Test H0 : p = 1/2 vs. Ha : p does not equal 1/2 for...
(a) Test H0 : p = 1/2 vs. Ha : p does not equal 1/2 for X ∼ Binomial(n=45,p), when we observe 16 successes. (b) Calculate a 95% confidence interval for p for the data above. (c) Calculate a 95% confidence interval for p when X ∼ Binomial(15,p) and we observe only successes
Suppose that your hypotheses are H0: π = 0.25 and Ha: π < 0.25. In the...
Suppose that your hypotheses are H0: π = 0.25 and Ha: π < 0.25. In the context of these hypotheses, which of the following standardized statistics would provide the strongest evidence against the null hypothesis and for the alternative hypothesis? Why? A. z = –1 B. z = 0 C. z = 3 D. z = –1.80 E. z=25
1) Suppose that your hypotheses are H0: π = 0.25 and Ha: π < 0.25. In...
1) Suppose that your hypotheses are H0: π = 0.25 and Ha: π < 0.25. In the context of these hypotheses, which of the following standardized statistics would provide the strongest evidence against the null hypothesis and for the alternative hypothesis? Why? A. z = –1 B. z = 0 C. z = 3 D. z = –1.80 2) Suppose you are testing the hypothesis H0: π = 0.50 versus Ha: π > 0.50. You get a sample proportion of...
Ho u = 2 vs Ha u not equal to 2 and o=20. sample mean =12...
Ho u = 2 vs Ha u not equal to 2 and o=20. sample mean =12 and use alpha = 0.05 a) if n= 10, what is p-value? b) n= 15, what is p-value? c) n=20, what is p-value? d) summarize your findings from above.
In testing the hypothesis H0:  μ = 800 vs. Ha:  μ ≠ 800. A sample of size 40...
In testing the hypothesis H0:  μ = 800 vs. Ha:  μ ≠ 800. A sample of size 40 is chosen. the sample mean was found to be 812.5 with a standard deviation of 25, then the of the test statistic is: Z=0.0401 Z=-3.16 Z=3.16 Z=12.5 In a sample of 500 voters, 400 indicated they favor the incumbent governor.  The 95% confidence interval of voters not favoring the incumbent is 0.782 to 0.818 0.120 to 0.280 0.765 to 0.835 0.165 to 0.235 A Type...
You collect data and test the hypotheses​ H0: p​ = 0.50 ​ Ha: p not equals...
You collect data and test the hypotheses​ H0: p​ = 0.50 ​ Ha: p not equals ​0.50, A​ P-value of 0.03 is obtained. Which of the following is true​ (hint: find​ α for​ each) ? A. A​ 99% confidence interval for p will not include the value 0.50. B. A​ 95% confidence interval for p will not include the value 0.50. C. A​ 90% confidence interval for p will not include the value 0.50. D. B and C. E. A...
Suppose that you are testing the hypotheses Upper H 0​: pequals0.25 vs. Upper H Subscript Upper...
Suppose that you are testing the hypotheses Upper H 0​: pequals0.25 vs. Upper H Subscript Upper A​: pnot equals0.25. A sample of size 300 results in a sample proportion of 0.31. ​ a) Construct a 90​% confidence interval for p. ​ b) Based on the confidence​ interval, can you reject Upper H 0 at alphaequals0.10​? Explain. ​ c) What is the difference between the standard error and standard deviation of the sample​ proportion? ​ d) Which is used in computing...
4. Provide the equation (using H0, HA, MGroupName, ≠, =, >, <) for the following hypotheses:...
4. Provide the equation (using H0, HA, MGroupName, ≠, =, >, <) for the following hypotheses: There will be no effect for class standing (i.e., freshman, sophomore, junior, senior) on desire to purchase the new table
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT