We discuss how to test for an association between two categorical variables in Section 6.8. A marine research team records the number of fish from 3 species that they find at different depth categories in the ocean. They are interested in assessing whether or not there is a relationship between the depth category (close to surface, mid-level, ocean floor) and the fish species found (species A, species B, species C). A two-way table showing the classification of a sample of 150 observations is given below. If the variables for the ocean

We discuss how to test for an association between two categorical variables in Section 6.8. A marine research team records the number of fish from 3 species that they find at different depth categories in the ocean. They are interested in assessing whether or not there is a relationship between the depth category (close to surface, mid-level, ocean floor) and the fish species found (species A, species B, species C). A two-way table showing the classification of a sample of 150 observations is given below. If the variables for the ocean

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter10: Sequences, Series, And Probability

Section10.2: Arithmetic Sequences

Problem 51E

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Restaurant X Restaurant Y89 101121 125116 153143 117270 171183 134122 114151 122158 127210 129335 137305 140181 227116 216161 291152 12595 95238 136243 242189 146155 148196 201168 149123 14262 141198 143182 154117 139139 169169 138185 244198 234236 248192 237352 234304 165213 85192 110183 58184 172107 79143 147175 138157 99173 131155 150170 127127 185136 145306 132 Refer to the accompanying data set of mean drive-through service times at dinner in seconds at two fast food restaurants. Construct a 95% confidence interval estimate of the mean drive-through service time for Restaurant X at dinner; then do the same for Restaurant Y. Compare the results. Construct a 95% confidence interval of the mean drive-through service times at dinner for Restaurant X.
COVID-19 (novel corona virus) took the world by surprise in late 2019. By early 2020, nearly all countries worldwide were affected.Early reports from the US Centers for Disease Control and Prevention (CDC) estimated that approximately 3% of infected patients in the United States between the ages of 55 and 64 had died. This figure is known as the mortality rate of the virus for this age group. Suppose a sample of 1120 infected patients in the United States between the ages of 55 and 64 were randomly selected and 34 of the patients were known to have died. Use the p-value method to determine if the sample data support the conclusion that the mortality rate of patients between the ages of 55 and 64 is greater than 3%. Let α=0.01State the null and alternative hypothesis for this test. H0= H1= Determine the test statistic for the hypothesis test. Round the solution to two decimal places. = Determine the p-value for the hypothesis test. Round the solution to four decimal places. = Determine…
A state game commission introduces 40 deer into newly acquired state game lands. The population N of the herd can be modeled by
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COVID-19 (novel corona virus) took the world by surprise in late 2019. By early 2020, nearly all countries worldwide were affected. Early reports from the US Centers for Disease Control and Prevention (CDC) estimated that approximately 1.7% of infected patients in the United States between the ages of 55 and 64 had died. This figure is known as the mortality rate of the virus for this age group. Suppose a sample of 1060 infected patients in the United States between the ages of 55 and 64 were randomly selected and 29 of the patients were known to have died. Use the p-value method to determine if the sample data support the conclusion that the mortality rate of patients between the ages of 55 and 64 is greater than 1.7%. Use a significance level of 5%. State the null and alternative hypothesis for this test. 0.017 Determine if this test is left-tailed right-tailed, or two -tailed. night-tailed two-tailed Oleft-tailed Should the standard normal () distribution or Student's (t)…
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Age Social media user Non-social media user Total Younger (18−22)(18−22)left parenthesis, 18, minus, 22, right parenthesis 787878 444 828282 Middle (23−27)(23−27)left parenthesis, 23, minus, 27, right parenthesis 494949 212121 707070 Older (28(28left parenthesis, 28 and up))right parenthesis 212121 464646 676767 Total 148148148 717171 219219219 According to a survey of college students, the use of social media varies widely according to age. Based on the survey, what is the approximate probability that a non-social media user is an older student aged 282828 and up?
Five loci defined by microarrays are known to contribute to meat quality in cattle. These can be tested using microarrays. Premium meat quality occurs when eight or more of the alleles at these five loci are of the “contributing” variety. An uppercase letter indicates a contributing allele and lowercase letter indicates a noncontributing allele. One can determine the genotype of cattle with a microarray. If the following genotypes of a cow and a bull (respectively) are crossed, what is the probability the first offspring will have eight or more contributing alleles? Assume all loci are autosomal and independent. AaBbccDDEe × AaBBCCDdEe
STUDENT ID HEIGHT (m) WEIGHT (kg) AGE 221063641 1.65 60 18 221026045 1.45 41 17 220050244 1.71 65 18 221082107 1.55 45 17 221003142 1.57 53 19 221137823 1.68 64 18 221056904 1.60 52 20 221051686 1.64 60 21 221009965 1.68 58 22 221120580 1.50 64 21 221007148 1.65 56 22 221139850 1.55 56 20 220036489 1.65 54 20 221067817 1.68 60 21 221047220 1.79 65 18 220040028 1.70 61 18 221010386 1.50 51 18 221079017 1.65 50 19 220040028 1.56 56 19 221078673 1.65 65 21 219060045 1.68 68 21 220049408 1.66 65 19 21915970 1.56 56 19 220090246 1.65 60 19 220119066 1.73 68 21 219057222 1.58 58 19 220119287 1.65 65 18 220076499 1.78 65 19 220119805 1.68 68 19 Question 1 Use graphical descriptive techniques (Pie…
WAGE EDUC EXPER AGE GENDER RACE 1345 6 2 38 0 1 2435 4 18 52 1 1 1715 6 4 45 1 1 1461 6 4 58 1 1 1639 9 3 30 1 0 1345 5 8 43 0 1 1602 7 6 30 0 1 1144 4 3 33 0 0 1566 6 23 51 1 0 1496 4 15 37 1 1 1234 4 9 45 0 0 1345 6 3 55 0 1 1345 5 14 57 0 1 3389 9 16 36 1 1 1839 4 20 60 1 1 981 4 5 35 1 0 1345 9 10 34 0 1 1566 5 4 28 0 0 1187 6 1 25 0 1 1345 7 10 43 0 1 1345 9 2 42 0 1 2167 4 17 47 1 0 1402 11 2 46 1 1 2115 4 15 52 1 0 2218 8 11 64 1 1 3575 11 1 39 1 1 1972 4 1 39 1 1 1234 4 2 40 0 1 1926 5 9 53 1 0 2165 6 15 59 0 1 2365 6 12 35 0 0 1345 9 5 45 0 1 1839 4 14 37 0 0 2613 5 14 37 1 1 2533 11 3 43 1 1 1602 8 5 32 0 1 1839 9 18 40 0 1 2218 7 1 49 1 1 1529 4 10 43 0 0 1461 1 10 31 1 0 3307 9 22 45 1 1 3833 11 3 31 1 1 1839 4 14 55 1 0 1461 6 5 30 0 1 1433 9 3 28 1 0 2115 6 15 60 0 0 1839 4 13 32 1 0 1288 4 9 58 1 0 1288 6 4 29 0 0
Johnson Filtration, Inc. provides maintenance service for water-filtration systems. Suppose that in addition to information on the number of months since the machine was serviced and whether a mechanical or an electrical repair was necessary, the managers obtained a list showing which repairperson performed the service. Repair Time(hours) Months SinceLast Service Type ofRepair Repairperson 2.9 2 electrical Dave Newton 3.0 6 mechanical Dave Newton 4.8 8 electrical Bob Jones 1.8 3 mechanical Dave Newton 2.9 2 electrical Dave Newton 4.9 7 electrical Bob Jones 4.2 9 mechanical Bob Jones 4.8 8 mechanical Bob Jones 4.4 4 electrical Bob Jones 4.5 6 electrical Dave Newton Ignore for now the months since the last maintenance service (x1 ) and the repairperson who performed the service. Develop the estimated simple linear regression equation to predict the repair time (y) given the…
At a stop sign, some drivers come to a full stop, some come to a rolling stop (not a full stop, but slow down), and some do not stop at all. Test if there is an association between gender and type of stop (full, rolling, or no stop). Data is collected by standing a few feet from a stop sign and taking note of the type of stop and the gender of the driver. Below is a contingency table summarizing the data that was collected. Do the data provide enough evidence to show that there is an association between gender and type of stop (full, rolling, or no stop)? Test at the 3% level and round expected values to one decimal place. Type of Stop Male (Observed) Male (Expected Value) Female (Observed) Female (Expected Value) Row Total Full Stop 11 21 32 Rolling Stop 15 15 30 No Stop 9 8 17 Column Total 35 44 79 H: HypothesesHo:Ho:Select an answer Gender male female Male and Select an answer Type of Stop male female Female are Select an answer independent dependent…