An advertising firm is trying to determine if a lower proportion of interactions from online advertising result insales compared to the proportion of interactions from television advertising. The firm examines a random sampleof each type of interaction. The results of the data collected are shown below.What are the population parameters?✓ PickThe difference in the sample sizesThe difference in the two sample meansThe proportion of all interactions in each category that result in salesThe proportion of interactions in the sample in each category that result in salesConfluence 101The alternative hypothesis is Ha: Ponline PickSuccObsePropZ-scorep-value3702.9260.00169Should Ho be rejected or does Ho fail to be rejected? PickWhat conclusion can be drawn from the data?PickPTV✓evidence exists to support the claim that the proportion of sales generated by online advertising islower than the proportion generated by television advertising. Jump to level 1An advertising firm is trying to determine if a lower proportion of interactions from online advertising result insales compared to the proportion of interactions from television advertising. The firm examines a random sampleof each type of interaction. The results of the data collected are shown below.What are the population parameters?PickOnlineSuccessesObservationsProportionConfidence levelz-scorep-valueTelevision231 Successes1000 Observations0.231 Proportion95%2.9260.001692067000.294What is the level of significance? Ex: 0.12The null hypothesis is Ho: Ponline Pick PTVThe alternative hypothesis is Ha: Ponline Pick PTVShould Ho be rejected or does Ho fail to be rejected? PickWhat conclusion can be drawn from the data?Pickevidence exists to support the claim that the proportion of sales generated by online advertising islower than the proportion generated by television advertising.

Parameter is a value and it derived from the population. Ex : Population mean, Population…

Answered: An advertising firm is trying to…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The midterm and final exam grades for a statistics course are provided in the data set below. Jaymes, a student in the class, scored 86 on both exams. Treat the given data sets as samples. Midterm: 80, 78, 85, 82, 79, 79, 78, 86, 80, 84, 78, 84, 80, 84, 81, 78, 81, 82, 78, 84 Final: 81, 88, 68, 69, 69 81, 82, 86, 76, 71, 72, 68, 77, 86, 68, 83, 84, 71, 81, 87 z-score for midterm: 1.857 z-score for final: 1.181 Based on the z-scores calculated above, which of Jaymes's grades is more unusual, the midterm grade or the final exam grade? Select the correct answer below: A. The absolute value of the z-score for the final exam grade is greater than for the midterm grade, so the final exam grade is more unusual. B. The absolute value of the z-score for the midterm exam grade is less than for the final grade, so the midterm grade is more unusual. C. The absolute value of the z-score for the midterm exam grade is greater than for the final grade, so the midterm grade is more…
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A manager wishes to build a control chart for a process. A total of five (05) samples are collected with six (06) observations within each sample. The sample means (X-bar) are; 15.36,14.61,16.36,20.28, and 15.77 respectively. Also, the corresponding ranges are; 10.79, 8.37, 4.81, 8.17, and 3.31 respectively. The lower and upper control limits of the R-chart are respectively O a. None is correct O b. 1, 10.5 O c. 0,14.18 O d. 0, 15.25 O e. 0, 14.11
Report an appropriate hypothesis test for a positive linear relationship and use a 5% significance level. Explain the potential error in words, in context. In the answer options below I have used the phrase “a certain relationship” because I don’t want to give away exactly what type of relationship it is. Group of answer choices We would be accepting that there was a certain relationship between Sale amount and Tip when actually there wasn’t. We would not be accepting that there was a certain relationship between Sale amount and Tip when indeed there wasn’t. We would not be accepting that there was a certain relationship between Sale amount and Tip when actually there was. We would be accepting that there was a certain relationship between Sale amount and Tip when indeed there was.
Bank of America's Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2) Using the difference data, the sample mean difference was d = $850, and the sample standard deviation was så = $1,123. a. Formulate the null and alternative hypotheses to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. Ho : μα ♦ Select your answer - Ha d + - Select your answer - b. Use a = = 0.05 level of significance. Can you conclude that the population means differ? - Select your answer - ◆ What is the p-value? (to 6 decimals) c.…
Bank of America's Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, the sample mean difference was d = $850, and the sample standard deviation was Sd = $1,123. a. Formulate the null and alternative hypotheses to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. Hoμd Haμd - Select your answer - - Select your answer - b. Use a 0.05 level of significance. Can you conclude that the population means differ? - Select your answer - ✓ What is the p-value? (to 6 decimals) c. Which…
A certain statistics instructor participates in triathlons. The accompanying table lists times (in minutes and seconds) he recorded while riding a bicycle for five laps through each mile of a 3-mile loop. Use a 0.05 significance level to test the claim that it takes the same time to ride each of the miles. Does one of the miles appear to have a hill? LOADING... Click the icon to view the data table of the riding times. Question content area bottom Part 1 Determine the null and alternative hypotheses. H0: ▼ mu 1 greater than mu 2 greater than mu 3μ1>μ2>μ3 mu 1 not equals mu 2 not equals mu 3μ1≠μ2≠μ3 Exactly two of the population means are different from each other.Exactly two of the population means are different from each other. At least one of the three population means is different from the others.At least one of the three population means is different from the others. mu 1 equals mu 2 equals mu 3μ1=μ2=μ3 H1: ▼ mu 1 greater than mu 2…
Find the (a) mean, (b) median, (c) mode, and (d) midrange for the data and then (e) answer the given questions. Listed below are selling prices (dollars) of TVs that are 60 inches or larger and rated as a "best buy" by a popular magazine. Are the resulting statistics representative of the population of all TVs that are 60 inches and larger? If you decide to buy one of these TVs, what statistic is most relevant, other than the measures of central tendency? 1200, 1250, 1300, 1250, 1700, 1850, 1250, 1800, 1850, 1150, 1250, 1450
You are a researcher studying the antler size of male Alaskan Moose in a certain Alaska location. You gather a random sample of 18 male moose and record the width (in feet) of the antlers. The data is displayed in the table below. Estimate the mean antler width of all Alaskan male moose in this area. Use a 90% confidence level. 3.6 5.6 3.4 3.4 4 5.2 4.6 4.3 4.6 4.6 2.2 6.4 3.6 3.1 5.4 4.4 3.3 4.3 a) Find the confidence interval: < μμ < b) What is the margin of error of your interval? c) Interpret your 90% confidence interval in context.
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