Hi,

can someone please help me with these ASAP??

I am so confused and I need help with these answers asap.

Question 1 A study was conducted to investigate whether a daytime nap affects your stress level measured by the Kessler Psychological Distress Scale (K10). The K10 is a widely used tool to assess the prevalence and levels of stress. Scores of 30 or higher indicate severe stress. A random sample of participants was Not yet saved surveyed on their daytime nap habit, and their K10 scores were recorded in a file Sleeping.xisx. Download and open this file into Excel. Use Excel to undertake a suitable test to address the research question below. Marked out of 9.00 Is the average stress level, measured by the K10, differ between people who nap and those who do not? Flag Daytime_nap No_daytime_nap question Frequency Frequency 4 2 0 16 17 18 19 20 21 22 23 23 24 25 26 27 the K10 score the K10 score Differences 10 24 4 6 8 22 Frequency the K10 score 0 2 - 6 -5 Daytime_nap No_daytime_nap the K10 score Answer the following questions by choosing the most correct option or typing the answer: 1. (1 mark) The most appropriate test for these data is: 2. (1 mark) The normality assumption seems reasonable because: A.both K10 scores for people who nap and people who do not nap may be drawn from normal distributions. B.the differences between K10 scores for people who nap and people who do not nap may be drawn from a normal distribution. 3. (1 mark) The assumption of equal variance seems reasonable because: A.comparative boxplots suggest the variation in the two populations could be the same. B.comparative boxplots suggest the variation in the two populations is different For the remaining questions you may assume that any relevant assumptions have been met. 4. (2 marks) The absolute value of the test statistic is equal to (type your answer with 3 dp) 5. (1 mark) The degrees of freedom is equal to (type your answer as an integer) 6. (1 mark) The p-value is larger than 0.05 7. (2 marks) The test shows that the average stress level measured by K10 scores was A. significantly different (greater for people who nap during the day than those who do not). B. significantly different (greater for people who do not nap during the day than those who do nap.) C. not significantly different between people who nap or not. Copyright @ Macquarie University. Copying or distribution of part or all of the contents in any form is prohibited.Question 2 W m m Wages in the labour market are very much affected by the demand and supply of labour. in any industry, when there is an oversupply of labour, the workers will be at a disadvantage and will not demand high wages and vice versa. in Australia, in the last few years, the average hourly wages earnings have y a fluctuated. Due to the comma, there has been an oversupply of labour. When the number of unemployed person increases, it is expected that the average hourly earnings would fall. A random sample of 40 weeks, the average hourly earnings (Auns) and the total number of unemployed persons (in Wm M\" 0' thousands) in Australia during the comp-19 were recorded in the excel me Wagesxlsx. 1300 r neg Download the hie and fit a linear regression model using Excel data anaiysis for predicting hourly wages (AUDS) (r) from the number of unemployed persons (in thousands) of). question Use your Excel output and any other information provided to answer the following questions. For each question, either choose a correct option or type to answer the number of decimal places specified. Figure 1 Figure 2 2 - a e 8 _ m e A o 3 r, _ 0 o 0 > 3 '" 0 In ;: o a o Ev % 3 ' e o o 5 e V ' 3 u. E. o e o o o N _ g s o a o a a e 3 ' o r r i r r i r r r r r r