Are nursing salaries in Tampa, Florida, lower than those in Dallas, Texas? Salary data show staff nurses in Tampa earn less than staff nurses in Dallas (The Tampa Tribune, January 15, 2007). Suppose that in a follow-up study of 40 staff nurses in Tampa and 50 staff nurses in Dallas you obtain the following results.

$$\begin{array} { r l } { \text { Tampa } } & { \text { Dallas } } \\ { n _ { 1 } = 40 } & { n _ { 2 } = 50 } \\ { \overline { x } _ { 1 } = \$ 56,100 } & { \overline { x } _ { 2 } = \$ 59,400 } \\ { s _ { 1 } = \$ 6000 } & { s _ { 2 } = \$ 7000 } \end{array}$$

Formulate hypothesis so that, if the null hypothesis is rejected, we can conclude that salaries for staff nurses in Tampa are significantly lower than for those in Dallas. Use $\alpha$= .05.

As part of a study of corporate employees, the director of human resources for PNC Inc. wants to compare the distance traveled to work by employees at its office in downtown Cincinnati with the distance for those in downtown Pittsburgh. A sample of 35 Cincinnati employees showed they travel a mean of 370 miles per month. A sample of 40 Pittsburgh employees showed they travel a mean of 380 miles per month. The population standard deviation for the Cincinnati and Pittsburgh employees are 30 and 26 miles, respectively. At the .05 significance level, is there a difference in the mean number of miles traveled per month between Cincinnati and Pittsburgh employees?

Are nursing salaries in Tampa, Florida, lower than those in Dallas, Texas? Salary data show staff nurses in Tampa earn less than staff nurses in Dallas (The Tampa Tribune, January 15, 2007). Suppose that in a follow-up study of 40 staff nurses in Tampa and 50 staff nurses in Dallas you obtain the following results.

$$\begin{array} { r l } { \text { Tampa } } & { \text { Dallas } } \\ { n _ { 1 } = 40 } & { n _ { 2 } = 50 } \\ { \overline { x } _ { 1 } = \$ 56,100 } & { \overline { x } _ { 2 } = \$ 59,400 } \\ { s _ { 1 } = \$ 6000 } & { s _ { 2 } = \$ 7000 } \end{array}$$

What is your conclusion?

In a completely randomized design, 12 experimental units were used for the first treatment, 15 for the second treatment, and 20 for the third treatment. Complete the following analysis of variance. At a .05 level of significance, is there a significant difference between the treatments?

$$\begin{matrix} \text{Source} & \text{Sum} & \text{Degrees} & \text{Mean}\\ \text{of Variation} & \text{of Squares} & \text{of Freedom} & \text{Square} & \text{F} & \text{p-value}\\ \text{Treatments} & \text{1200}\\ \text{Error}\\ \text{Total} & \text{1800}\\ \end{matrix}$$

A recent study compared the time spent together by single- and dual-earner couples. According to the records kept by the wives during the study, the mean amount of time spent together watching television among the single-earner couples was 61 minutes per day, with a standard deviation of 15.5 minutes. For the dual-earner couples, the mean number of minutes spent watching television was 48.4 minutes, with a standard deviation of 18.1 minutes. At the .01 significance level, can we conclude that the single-earner couples on average spend more time watching television together? There were 15 singleearner and 12 dual-earner couples studied.

In a test of the quality of two television commercials, each commercial was shown in a separate test area six times over a one-week period. The following week a telephone survey was conducted to identify individuals who had seen the commercials. Those individuals were asked to state the primary message in the commercials. The following results were recorded.

$$\begin{matrix} \text{ } & \text{Commercial A} & \text{Commercial B}\\ \text{Number Who Saw Commercial} & \text{150} & \text{200}\\ \text{Number Who Recalled Message} & \text{63} & \text{60}\\ \end{matrix}$$

a. Use $\alpha$= .05 and test the hypothesis that there is no difference in the recall proportions for the two commercials. b. Compute a 95% confidence interval for the difference between the recall proportions for the two populations.

A spherical vessel with a volume of 1.00 L. was evacuated and sealed. Twenty-four hours later the pressure of air in the vessel was found to be $1.20 \times 10 ^ { - 6 }$ atm. During this 24-h period, the vessel had been surrounded by air at $27 ^ { \circ } \mathrm { C }$ and 1.00 atm. Assuming that air is 78 mole percent nitrogen and that the remainder is oxygen, calculate the diameter of the tiny circular hole in the vessel that allowed the air to leak in.

Are nursing salaries in Tampa, Florida, lower than those in Dallas, Texas? As reported by the Tampa Tribune, salary data show staff nurses in Tampa earn less than staff nurses in Dallas. Suppose that in a follow-up study of 40 staff nurses in Tampa and 50 staff nurses in Dallas you obtain the following results.

$$\begin{array}{ll} {\text { Tampa }} & {\text { Dallas }} \\ n_1=40 & n_2=50 \\ \bar{x}_1=\$ 56,100 & \bar{x}_2=\$ 59,400 \\ s_1=\$ 6000 & s_2=\$ 7000 \end{array}$$

d. What is your conclusion?

What are the guidelines that nurses should follow when considering restraints?

What is the relative humidity when the dry-bulb temperature is

$$16 ^ { \circ } \mathrm { C }$$

and the wet-bulb temperature is

$$14 ^ { \circ } \mathrm { C }$$

? (1) 90% (2) 80% (3) 14% (4) 13%

Are nursing salaries in Tampa, Florida, lower than those in Dallas, Texas? As reported by the Tampa Tribune, salary data show staff nurses in Tampa earn less than staff nurses in Dallas. Suppose that in a follow-up study of 40 staff nurses in Tampa and 50 staff nurses in Dallas you obtain the following results.

$$\begin{array}{ll} {\text { Tampa }} & {\text { Dallas }} \\ n_1=40 & n_2=50 \\ \bar{x}_1=\$ 56,100 & \bar{x}_2=\$ 59,400 \\ s_1=\$ 6000 & s_2=\$ 7000 \end{array}$$

b. What is the value of the test statistic?

Are nursing salaries in Tampa, Florida, lower than those in Dallas, Texas? Salary data show staff nurses in Tampa earn less than staff nurses in Dallas (The Tampa Tribune, January 15, 2007). Suppose that in a follow-up study of 40 staff nurses in Tampa and 50 staff nurses in Dallas you obtain the following results.

$$\begin{array} { r l } { \text { Tampa } } & { \text { Dallas } } \\ { n _ { 1 } = 40 } & { n _ { 2 } = 50 } \\ { \overline { x } _ { 1 } = \$ 56,100 } & { \overline { x } _ { 2 } = \$ 59,400 } \\ { s _ { 1 } = \$ 6000 } & { s _ { 2 } = \$ 7000 } \end{array}$$

What is the value of the test statistic?

Are nursing salaries in Tampa, Florida, lower than those in Dallas, Texas? As reported by the Tampa Tribune, salary data show staff nurses in Tampa earn less than staff nurses in Dallas. Suppose that in a follow-up study of 40 staff nurses in Tampa and 50 staff nurses in Dallas you obtain the following results.

$$\begin{array}{ll} {\text { Tampa }} & {\text { Dallas }} \\ n_1=40 & n_2=50 \\ \bar{x}_1=\$ 56,100 & \bar{x}_2=\$ 59,400 \\ s_1=\$ 6000 & s_2=\$ 7000 \end{array}$$

c. What is the $p$-value?

Let n1 = 100, X1 = 50, n2 = 100, and X2 = 30.

a. At the 0.05 level of significance, is there evidence of a significant difference between the two population proportions?

b. Construct a 95 % confidence interval estimate for the difference between the two population proportions.