Question

In: Statistics and Probability

1a Test the claim that the mean GPA of Orange Coast students is smaller than the...

1a Test the claim that the mean GPA of Orange Coast students is smaller than the mean GPA of Coastline students at the 0.10 significance level.

The null and alternative hypothesis would be:

H0:pO≥pCH0:pO≥pC
H1:pO<pCH1:pO<pC

H0:pO=pCH0:pO=pC
H1:pO≠pCH1:pO≠pC

H0:μO≤μCH0:μO≤μC
H1:μO>μCH1:μO>μC

H0:pO≤pCH0:pO≤pC
H1:pO>pCH1:pO>pC

H0:μO=μCH0:μO=μC
H1:μO≠μCH1:μO≠μC

H0:μO≥μCH0:μO≥μC
H1:μO<μCH1:μO<μC



The test is:

right-tailed

two-tailed

left-tailed



The sample consisted of 35 Orange Coast students, with a sample mean GPA of 3.35 and a standard deviation of 0.06, and 35 Coastline students, with a sample mean GPA of 3.38 and a standard deviation of 0.02.

The test statistic is:  (to 2 decimals)

The p-value is:  (to 2 decimals)

Based on this we:

  • Reject the null hypothesis
  • Fail to reject the null hypothesis

1b)

You are conducting a test of the claim that the row variable and the column variable are dependent in the following contingency table.

X Y Z
A 41 28 13
B 35 57 17

Give all answers rounded to 3 places after the decimal point, if necessary.

(a) Enter the expected frequencies below:

X Y Z
A
B

(b) What is the chi-square test-statistic for this data?
      Test Statistic: χ2=χ2=

(c) What is the critical value for this test of independence when using a significance level of αα = 0.10?
      Critical Value: χ2=χ2=  

(d) What is the correct conclusion of this hypothesis test at the 0.10 significance level?

  • There is sufficient evidence to warrant rejection of the claim that the row and column variables are dependent.
  • There is not sufficient evidence to support the claim that the row and column variables are dependent.
  • There is not sufficient evidence to warrant rejection of the claim that the row and column variables are dependent.
  • There is sufficient evidence to support the claim that the row and column variables are dependent.

Remember to give all answers rounded to 3 places after the decimal point, if necessary.

please if you can show work from ti 84 please

Solutions

Expert Solution

1a

The null and alternative hypothesis would be:

H0:pO≥pC
H1:pO<pC

The test is: left-tailed

using excel>addin>phstat>two variance '

we have

Separate-Variances t Test for the Difference Between Two Means
(assumes unequal population variances)
Data
Hypothesized Difference 0
Level of Significance 0.05
Population 1 Sample
Sample Size 35
Sample Mean 3.35
Sample Standard Deviation 0.06
Population 2 Sample
Sample Size 35
Sample Mean 3.38
Sample Standard Deviation 0.02
Intermediate Calculations
Numerator of Degrees of Freedom 0.0000
Denominator of Degrees of Freedom 0.0000
Total Degrees of Freedom 41.4634
Degrees of Freedom 41
Separate Variance Denominator 0.0107
Difference in Sample Means -0.03
Separate-Variance t Test Statistic -2.8062
Lower-Tail Test
Lower Critical Value -1.6829
p-Value 0.0038



The test statistic is: -2.81

The p-value is: 0.00

Based on this we:

  • Reject the null hypothesis

1b)

You are conducting a test of the claim that the row variable and the column variable are dependent in the following contingency table.

using excel>addin>phstat>chi square test

we have

Chi-Square Test
Observed Frequencies
Column variable Calculations
X Y Z Total fo-fe
A 41 28 13 82 8.371728 -8.49215 0.120419
B 35 57 17 109 -8.37173 8.492147 -0.12042
Total 76 85 30 191
Expected Frequencies
Column variable
X Y Z Total (fo-fe)^2/fe
A 32.62827 36.49215 12.87958 82 2.148009 1.976221 0.001126
B 43.37173 48.50785 17.12042 109 1.615933 1.486699 0.000847
Total 76 85 30 191
Data
Level of Significance 0.1
Number of Rows 2
Number of Columns 3
Degrees of Freedom 2
Results
Critical Value 4.60517
Chi-Square Test Statistic 7.228835
p-Value 0.026933
Reject the null hypothesis
Reject the null hypothesis

(a) Enter the expected frequencies below:Give all answers rounded to 3 places after the decimal point, if necessary.

Column variable
X Y Z
A 32.628 36.492 12.880
B 43.372 48.508 17.120

(c) What is the critical value for this test of independence when using a significance level of αα = 0.10?(b) What is the chi-square test-statistic for this data?
      Test Statistic: χ2=7.223

      Critical Value: χ2=4.605

(d) What is the correct conclusion of this hypothesis test at the 0.10 significance level?

  • There is sufficient evidence to support the claim that the row and column variables are dependent.

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