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Yvonne Barmettler

Yvonne B.

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I don’t have access to tables, is there a way to do this equation without using a table

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Lucas Finney verified

Numerade educator

The sodium content in the soda water of two different brands has been compared. The study provided the summary information shown below for bottles containing 750 millilitres of soda water. How many of these bottles of each brand would need to be sampled in order to estimate the difference in the mean sodium content to within 0.5 with 95% reliability? Sample size 25 20 Mean 148 152 Variance 2.2 2.5 n1 = n2 = 26 n1 = n2 = 37 n1 = n2 = 73 n1 = n2 = 171

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Lucas Finney verified

Numerade educator

Given v1 = 6 and v2 = 8, what is P(F > 4.65)? 0.025 0.01 0.05 0.10

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Lucas Finney verified

Numerade educator

The director of admissions of a large university has recently surveyed a random sample of 28 first-year students to determine whether the mean age of the first-year students is over 18. The appropriate hypotheses are H0: μ = 18, Ha: μ > 18. If he concludes that the mean age is over 18 when it is not, and if he concludes that the mean age is not over 18 when it is, what types of errors have been made? Type II; Type II Type II; Type I Type I; Type II Type I; Type I

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Lucas Finney verified

Numerade educator

The director of admission of a large university is interested in determining the proportion of students who would like to live on campus in the coming academic year. Rather than examine the records for all students, the director randomly selects 150 students and finds that 108 of them would like to live on campus. Using a 90% confidence interval, what is the estimated true proportion of students who would like to live on campus in the coming academic year? Question 5 options: 0.72 ± 0.028135 0.72 ± 0.089582 0.72 ± 0.04457 0.72 ± 0.060301

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Lucas Finney verified

Numerade educator

A consumer protection agency studies the price of a new flat-screen television model. It would like to estimate the price of the model with a 99% confidence interval. The agency manages to obtain data on 22 sales prices of this model. The model is offered at an average price of $2,660 with a standard deviation of $60. What is the 99% confidence interval for the true mean sales value of this television model? 2,660 ± 2.576(60/√22) 2,660 ± 2.831(60/√21) 2,660 ± 2.831(60/√22) 2,660 ± 2.819(60/√22)

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Lucas Finney verified

Numerade educator

A call centre would like to know the mean number of calls it receives during peak hours. The manager randomly selects 32 different one-hour periods and determines the number of calls for each. For this sample, x-bar equals 95 and s2 = 230. What is the mean number of calls per one-hour period during peak hours with a 99% confidence interval? 95 ± 2.68 95 ± 5.25 95 ± 6.90 95 ± 104.73

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Lucas Finney verified

Numerade educator

A study analyzed 200 polar bear litter sizes (that is, the number of polar bear cubs born to a single mother at one time) in Canada to evaluate climate change impacts on polar bear litter sizes. For two locations, Western Hudson Bay and Lancaster Sound, the size of the litters (that is, the number of cubs) was recorded. The results are shown below. Suppose that one of the 200 litters is chosen at random. What is the probability that this litter size was recorded in Western Hudson Bay or that the litter size was a single cub? One cub Two cubs Three or more cubs Total Western Hudson Bay 28 50 7 85 Lancaster Sound 15 87 13 115 Total 43 137 20 200 7/50 17/40 43/100 1/2

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Lucas Finney verified

Numerade educator

An office manager claims that the amount of time individual employees spend replying to emails each hour has a mean of 14 minutes and a standard deviation of 2.3 minutes. One employee was observed for one hour and the amount of time spent replying to emails was 11 minutes. What is the z-score for this amount of time spent replying to emails? Round to two decimal places. Correct Answer –1.30 0.62 1.06 Incorrect Response 1.30

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Lucas Finney verified

Numerade educator

A home inspector conducted 11 home inspections during the last week. Three of those homes showed major defects, which led the potential buyers to withdraw their offers. If you randomly select two of these 11 home inspections, what is the probability that one of them resulted in a withdrawn offer? 0.091 0.397 0.436 0.563

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