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I really need help with these 4 questions please! In 2005, a study at Blinn College was conducted to determine whether a relationship exists between

I really need help with these 4 questions please!

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In 2005, a study at Blinn College was conducted to determine whether a relationship exists between a student who eats breakfast and his or her Biology grade. The study examined 1259 college students on a specic biology test. The accompanying tables show the relative frequency, by grade, of the 825 students who did eat breakfast and the 434 who did not eat breakfast on the morning of the test. Students who ate breakfast Students who did not eat breakfast Grade Relative frequency Grade Relative frequency A 0.18 A 0.10 B 0.38 B 0.19 C 0.17 C 0.22 D 0.14 D 0.17 F 0.14 F 0.32 Select the statements that are accurate regarding the given data sets. [I The data shows that skipping breakfast is not associated with earning lower grades. I:I There is an increase in B's for those who do eat breakfast before the exam. [I The data show that skipping breakfast is associated with earning lower exam grades. [I Eating breakfast ensures that a student will pass an exam. El Students are less likely to fail tests if they do not eat breakfast. The Centers for Disease Control and Prevention (CDC) collect data on workplace safety. In 2012, the CDC reported deaths related to production agriculture in the US. The accompanying table lists the causes and reported frequency of 121 agricultural deaths in youth under 20 years of age. Agricultural Deaths Frequency Machinery 28 Motor Vehicles 23 Drowning 19 Other 5 1 If you wish, you may download the data and use your preferred software to compute the relative frequencies in order to answer the question. Crunchlt! CSV Excel JMP Mac Text Minitab PC Text R SPSS TI Cale Choose the relative frequency table that accurately represents the given data. 0 Agricultural Deaths Frequency Relative Frequency Machinery 28 0.23 Motor Vehicles 23 0.19 Drowning 19 0. 16 Other 51 0.42 0 Agricultural Deaths Frequency Relative Frequency Machinery 28 28 Motor Vehicles 23 51 Drowning 19 70 Other 5 1 121 'l'he mllowing frequency polygon represents data from the Bureau of Labor Statistics (BLS) on unemployment by age group. Number of unemployed individuals by age in 2014 Frequency (in thousands) ' N N Lo" 8 Lca" o o 0 0 500 0 5 10 15 20 25 30 35 4O 45 50 55 60 65 70 75 80 Age in years Select the statements that the given frequency polygon data supports. D The total number of unemployed individuals was 9,617,000. I:I There were fewer unemployed individuals between the ages of 60 and 70 years old than between the ages of 40 and 50 years old. I] The number of unemployed individuals between the ages of 20 and 30 was 1,864,000. I] There were 1,788,000 unemployed 35-year-olds. I:I Approximately 22% of the unemployed individuals were between 50 and 70 years old. The frequency polygon shows the number of hours a person sleeps in one day, on average, from a survey of 11,385 people. EEE'SEE'S O N O\\ 10 14 18 22 Sleeping hours Choose the relative frequency polygon that best represents the information shown in the given frequency polygon. O 100 75 Percent 25 0 2 6 10 14 18 22 Sleeping hours

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