Question

In: Statistics and Probability

A simple random sample of 100 adults is obtained, and each person’s red blood cell count...

A simple random sample of 100 adults is obtained, and each person’s red blood cell count (in cells per microliter) is measured. The sample mean is 5.22 and the sample standard deviation is 0.53. Use a 0.01 significance level to test the claim that the sample is from a population with a mean less than 5.3, the calculated value of t-test statistic is (Given that H0: µ = 5.3, Ha:µ < 5.3)

choose

-15.09

15.09

-1.509

1.509

----------------------------------------------------------------------------------

Three students took a statistics test before and after coaching, but coaching did not effect the scores of students i.e mean change in scores is zero. Their scores are as follows:

Students

A

B

C

Before

71

88

63

After

70

89

60

The value of t-test statistic for matched pairs is

choose

8.66

0.866

-0.866

-8.66

-------------------------------------------------------

The basic procedure of hypothesis testing is to make an initial assumption about the population parameter, collect evidence and decide whether to "reject" or "not reject" our initial assumption.

choose

True

False

---------------------------------------------------

Solutions

Expert Solution

1)

population mean μ= 5.3
sample mean 'x̄= 5.220
sample size   n= 100.00
sample std deviation s= 0.530
std error 'sx=s/√n= 0.0530
test stat t ='(x-μ)*√n/sx= -1.509

2)

S. No before after diff:(d)=x1-x2 d2
1 71 70 1 1.00
2 88 89 -1 1.00
3 63 60 3 9.00
total = Σd=3 Σd2=11
mean dbar= d̅                           = 1.0000
degree of freedom =n-1                            = 2.000
Std deviaiton SD=√(Σd2-(Σd)2/n)/(n-1) = 2.0000
std error=Se=SD/√n= 1.1547
test statistic            =     (d̅-μd)/Se         = 0.8660

3)

true


Related Solutions

A simple random sample of 100 adults is obtained, and each person’s red blood cell count...
A simple random sample of 100 adults is obtained, and each person’s red blood cell count (in cells per microliter) is measured. The sample mean is 5.20 and the sample standard deviation is 0.50. Use a 0.01 significance level to test the claim that the sample is from a population with a mean less than 5.3, the calculated value of t-test statistic is (Given that H0: µ = 5.3, Ha:µ < 5.3) 2.0 –20.0 –2.0 20.0
A simple random sample of 40 adult males is obtained, and the red blood cell count...
A simple random sample of 40 adult males is obtained, and the red blood cell count (in cells per microliter) is measured for each of them, with these results: n=40, bar x=4.932 million cells per microliter, s=0.504 million cells per microliter.) Use a 0.01 significance level to test the claim that the sample is from a population with a mean less than 5.4 million cells per microliter, which is often used as the upper limit of the range of normal...
In a clinic, a random sample of 60 patients is obtained, and each person’s red blood...
In a clinic, a random sample of 60 patients is obtained, and each person’s red blood cell count (in cells per microliter) is measured. The sample mean is 5.28. The population standard deviation for red blood cell counts is 0.54. (a) At the 0.01 level of significance, test the claim that the sample is from a population with a mean less than 5.4. [4 marks] (b) What is the Type 11 error ,6 in the hypothesis testing of Part (a)...
A simple random sample of 44 adults is obtained from a normally distributed? population, and each?...
A simple random sample of 44 adults is obtained from a normally distributed? population, and each? person's red blood cell count? (in cells per? microliter) is measured. The sample mean is 5.25 and the sample standard deviation is 0.55. Use a 0.01 significance level and the given calculator display to test the claim that the sample is from a population with a mean less than 5.4 comma which is a value often used for the upper limit of the range...
A simple random sample of 60 adults is obtained from a normally distributed? population, and each?...
A simple random sample of 60 adults is obtained from a normally distributed? population, and each? person's red blood cell count? (in cells per? microliter) is measured. The sample mean is 5.24 and the sample standard deviation is 0.51 Use a 0.01 significance level and the given calculator display to test the claim that the sample is from a population with a mean less than 5.4 which is a value often used for the upper limit of the range of...
Let x be a random variable that represents red blood cell count (RBC) in millions of...
Let x be a random variable that represents red blood cell count (RBC) in millions of cells per cubic millimeter of whole blood. Then x has a distribution that is approximately normal. For the population of healthy female adults, suppose the mean of the x distribution is about 4.80. Suppose that a female patient has taken six laboratory blood tests over the past several months and that the RBC count data sent to the patient's doctor are as follows. 4.9...
Let x be a random variable that represents red blood cell count (RBC) in millions of...
Let x be a random variable that represents red blood cell count (RBC) in millions of cells per cubic millimeter of whole blood. Then x has a distribution that is approximately normal. For the population of healthy female adults, suppose the mean of the x distribution is about 4.64. Suppose that a female patient has taken six laboratory blood tests over the past several months and that the RBC count data sent to the patient's doctor are as follows. 4.9...
Let x be a random variable that represents red blood cell count (RBC) in millions of...
Let x be a random variable that represents red blood cell count (RBC) in millions of cells per cubic millimeter of whole blood. Then x has a distribution that is approximately normal. For the population of healthy female adults, suppose the mean of the x distribution is about 4.64. Suppose that a female patient has taken six laboratory blood tests over the past several months and that the RBC count data sent to the patient's doctor are as follows. 4.9...
Let x be a random variable that represents red blood cell count (RBC) in millions of...
Let x be a random variable that represents red blood cell count (RBC) in millions of cells per cubic millimeter of whole blood. Then x has a distribution that is approximately normal. For the population of healthy female adults, suppose the mean of the x distribution is about 4.64. Suppose that a female patient has taken six laboratory blood tests over the past several months and that the RBC count data sent to the patient's doctor are as follows. 4.9...
Let x be a random variable that represents red blood cell count (RBC) in millions of...
Let x be a random variable that represents red blood cell count (RBC) in millions of cells per cubic millimeter of whole blood. Then x has a distribution that is approximately normal. For the population of healthy female adults, suppose the mean of the x distribution is about 4.66. Suppose that a female patient has taken six laboratory blood tests over the past several months and that the RBC count data sent to the patient's doctor are as follows. 4.9...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT