Step 1 A manufacturer of light bulbs finds that one light bulb model has a mean life span of 1026 h with a standard deviation of 86 h. Find the z-score for lightbulbs which last 910 h. (Round your answer to two decimal places.) 910 h: z = -1.35 -1.35 Step 2 The z-score for 910 h is -1.35. Using the answer from Step 1, what percent of these light bulbs will last at least 910 h? (Round your answer to one decimal place.) |× % Submit Skip (you cannot come back)

Solve for g in the literal equation h O A.g 2ht2 h O B. g= 2t2 %3D 2h C. g = t2 O D. g= 2h

Round every calculation to 2 decimal points unless the specific question asks for something different. Show answers as decimals and not percents or fractions.

City One has 205 rainy days out of 365 days while City Two has 168 rainy days out of 365 days. Test if the percentage of rainy days in City One is larger than the percentage of rainy days in City Two. Use α=0.05. Round you answer to 3 decimal places.

The z-score for 13.5 ounces is -2.50; the z-score for 15.5 ounces is 2.50. Using the answers from Step 1, what percent of the boxes will weigh between 13.5 ounces and 15.5 ounces? (Round your answer to one decimal place.)

Solve the following equation for x. Let X= 2%. 22x - 40-2 +256 = 0 (Use a comma to separate answers as needed.)

You put n = 20 rats in a cage that is in a room with a 65-degree temperature.  The next day you put them in a cage with a 70-degree temperature.  On the final day of the study you put them in a cage with a 75-degree temperature.  For each of the three days, you measure how many minutes of each hour they spent running on their exercise wheel.  To compare the time they spent running on the wheel between the three different days (in other words, between the three different temperatures of 65, 70, and 75 degrees), what kind of hypothesis test should you do? One-Factor, Independent-Measures ANOVA One-Factor, Repeated-Measures ANOVA Correlation/Regression Chi-Square Goodness of Fit