9.
Right-tailed, Mue
10.
Left-tailed, Sigma
11.
Two-tailed, Sigma
12.
Right-tailed, p
13.
Left-tailed, Mue
14.
Two-tailed, Sigma
15.
Ho: p = 0.399
H1: p > 0.399
17.
Ho: M = $245,700
H1: M < $243,700
19.
Ho: Sigma = 0.7 psi
H1: Sigma < 0.7 psi
21.
Ho: M = $48.79
H1: M (does not equal) $48.79
7.
test statistic: 2.31
p hat = 75/200= 0.375
This is a right tailed test, so the critical value is 0.05. 1.645 is greater that 0.5 we reject the null hypothesis.
9.
test statistic:z= -0.74 level of significance: = -1.28
sample proportion is p(hat)= 78/150 = 0.52
Since the p value: P(z < -0.74) = 0.2296, and that number is greater than the level of significance, the null hypothesis is not rejected.
11.
Test statistic: z= -1.49
p-value = 0.1362
Since p-value is greater than the level of significance, don’t reject the null hypothesis.
13.
p-value = 0.2743, therefore the null hypothesis that is true would be between 27% and 28% of 100%.
15.
320/678=.472
Ho: P = 0.5 H1: P < 0.5
Random, n < or equal to 0.5N, np(1-p) is > or equal to 10
Skip
Test statistic: z = -1.45 P value = P(z<-1.45) = 0.0745
Looking at p-value we see that the null hypothesis is true.
0.0735>0.05, therefore, we do not reject the null hypothesis. (p value is greater than alpha)
17.
sample proportion: .022
z = 0.65 –> when plotting, it lands in the middle, so we accept the null hypothesis
critical value = 2.32
p-value: P(z>0.65) = 0.2578 –> look at this for p-value hypothesis: 0.2578 is greater than .01 (level of significance), therefore we wont reject it.
19.
51/105 = P(hat) = .49
Test statistic: z = p (hat) - p / (square root of) p (1-p)/n (.49-.36)/(square root) (.36(.64)/105) = 2.77
cricitcal value = 1.645
P-value: p (z > 2.77) = 0.0028 --> find answer in table