Statistics students believe that the mean score on a first statistics test is 65. The instructor thinks th mean score is higher. She samples 10 statistics students and obtains the scores: Grades 69 68.4 64.3 64.3 73.5 74.4 73.5 88 62.7 85.5 Test grades are believed to be normally distributed. Jse a significance level of 5%.

Exam Grade 55 91 88 188 33 98 78 170 59 88 10 Given the above data set, what is the sample standard deviation of Study hours using a sample of the following students (Student Numbers: 1,3,5,9). Round to the nearest hundredth. Student # 11 2 3 14 5600 7 Study Hours 42 22 24 19 51 11 22 9 39

Two samples are randomly selected from a population. One sample has n = 5 and the second has n = 30.  Which sample should have a mean (M) that is closer to?  Explain your answer.

K A commuter tallied the time to work for 200 days and found that it resembled a normal curve. The mean time was 50 minutes, and the standard deviation was 2 minutes. For the 200-work-day experiment, find the percent of time commuting to work less than 44 minutes. 44 Minutes to Commute to Office 1 46 48 68%- 95% 99/7% 50

instructor thinks that the mean score is higher. She samples 10 statistics students and obtains the scores: Grades 63.9 68.4 | 69 | 96 64.3 | 63.9 65 69 62.7 68.4 Test grades are believed to be normally distributed. Use a significance level of 5%. A. State the alternative hypothesis: HA: Ou + 65 Ομ 65 B. State the mean of the sample: C. State the standard error of the sample means:

Hello I just need help with a step by step explanation of getting the answer for this problem thank you!

Does Hypnotism Relieve Pain? The table shows the pain levels of patients before and after hypnotism. Pain level is measured on a cm scale. Assume that the two samples are randomly selected. At the 0.05 significance level, test the claim that the mean difference has increased after hypnotism.(Be sure to subtract in the same direction).

The height of women ages 20-29 is normally distributed, with a mean of 63.8 inches. Assume o = 2.8 inches. Are you more likely to randomly select 1 woman with a height less than 65.2 inches or are you more likely to select a sample of 23 women with a mean height less than 65.2 inches? Explain. Click the icon to view page 1 of the standard normal table. Click the icon to view page 2 of the standard normal table. What is the probability of randomly selecting 1 woman with a height less than 65.2 inches? (Round to four decimal places as needed.)

The height of women ages 20-29 is normally distributed, with a mean of 64.4 inches. Assume o = 2.4 inches. Are you more likely to randomly select 1 woman with a height less than 65.3 inches or are you more likely to select a sample of 26 women with a mean height less than 65.3 inches? Explain. Click the icon to view page 1 of the standard normal table. Click the icon to view page 2 of the standard normal table. What is the probability of randomly selecting 1 woman with a height less than 65.3 inches? (Round to four decimal places as needed.) 4 What is the probability of selecting a sample of 26 women with a mean height less than 65.3 inches? (Round to four decimal places as needed.) ... Are you more likely to randomly select 1 woman with a height less than 65.3 inches or are you more likely to select a sample of 26 women with a mean height less than 65.3 inches? Choose the correct answer below. O A. It is more likely to select a sample of 26 women with a mean height less than 65.3…

Construct a quantile graph. Explain why or why not the data set provided has a normal distribution: 5.5, 6.0, 6.4, 5.7, 7.5, 4.5, 5.5, 5.6, 6.5, 6.0, 5.0, and 6.0. include the graph and response.