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Concept explainers
a.
Find the percentage of students in the sample smoke.
Check whether the percentage of all the students at this university who smoke are different from the national percentage.
b.
Check whether the average math SAT score of students at this university is greater than 600.
c.
Find the proportion of females in the sample with higher verbal SAT score.
Find the proportion of males in the sample with higher verbal SAT score.
Check whether there is a difference between the proportion of females with a higher verbal score and the proportion of males with a higher verbal score for all the students at this university.
Find and interpret the 95% confidence interval for the difference between the proportions of females with a higher verbal score minus the proportion of males with a higher verbal score.
d.
Find the higher average pulse rate in the sample.
Check whether there is evidence for a difference in mean pulse rate between smokers and non-smokers for all the students at this university.
e.
Find the higher average grade point average in the sample.
Check whether there is evidence for a difference in the mean GPA between smokers and non-smokers for all the students at this university.
Check whether the results are significant at a 10% level, at a 5% level, and at a 1% level.
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Chapter C Solutions
Statistics, Binder Ready Version: Unlocking the Power of Data
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- This exercise is based on the following data on four bodybuilding supplements. (Figures shown correspond to a single serving.) Creatine(grams) L-Glutamine(grams) BCAAs(grams) Cost($) Xtend(SciVation) 0 2.5 7 1.00 Gainz(MP Hardcore) 2 3 6 1.10 Strongevity(Bill Phillips) 2.5 1 0 1.20 Muscle Physique(EAS) 2 2 0 1.00 Your personal trainer suggests that you supplement with at least 10 grams of creatine, 39 grams of L-glutamine, and 90 grams of BCAAs each week. You are thinking of combining Xtend and Gainz to provide you with the required nutrients. How many servings of each should you combine to obtain a week's supply that meets your trainer's specifications at the least cost? (If an answer does not exist, enter DNE.) servings of xtend servings of gainzarrow_forwardI need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)arrow_forwardI need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)arrow_forward
- DATA TABLE VALUES Meal Price ($) 22.78 31.90 33.89 22.77 18.04 23.29 35.28 42.38 36.88 38.55 41.68 25.73 34.19 31.75 25.24 26.32 19.57 36.57 32.97 36.83 30.17 37.29 25.37 24.71 28.79 32.83 43.00 35.23 34.76 33.06 27.73 31.89 38.47 39.42 40.72 43.92 36.51 45.25 33.51 29.17 30.54 26.74 37.93arrow_forwardI need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)arrow_forwardSales personnel for Skillings Distributors submit weekly reports listing the customer contacts made during the week. A sample of 65 weekly reports showed a sample mean of 19.5 customer contacts per week. The sample standard deviation was 5.2. Provide 90% and 95% confidence intervals for the population mean number of weekly customer contacts for the sales personnel. 90% Confidence interval, to 2 decimals: ( , ) 95% Confidence interval, to 2 decimals:arrow_forward
- A simple random sample of 40 items resulted in a sample mean of 25. The population standard deviation is 5. a. What is the standard error of the mean (to 2 decimals)? b. At 95% confidence, what is the margin of error (to 2 decimals)?arrow_forwardmean trough level of the population to be 3.7 micrograms/mL. The researcher conducts a study among 93 newly diagnosed arthritis patients and finds the mean trough to be 4.1 micrograms/mL with a standard deviation of 2.4 micrograms/mL. The researcher wants to test at the 5% level of significance if the trough is different than previously reported or not. Z statistics will be used. Complete Step 5 of hypothesis testing: Conclusion. State whether or not you would reject the null hypothesis and why. Also interpret what this means (i.e. is the mean trough different from 3.7 or noarrow_forward30% of all college students major in STEM (Science, Technology, Engineering, and Math). If 48 college students are randomly selected, find the probability thata. Exactly 12 of them major in STEM. b. At most 17 of them major in STEM. c. At least 12 of them major in STEM. d. Between 9 and 13 (including 9 and 13) of them major in STEM.arrow_forward
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